UI developer Jobs
1782 Jobs Found
Confidential
Jordan - Amman
<p><h4>About Jeeny</h4>
<p>In 2014, a joint venture between iMENA Group and Rocket Internet was created to address the issues of fragmentation and inefficiency that were facing the Jordanian and Saudi taxi markets. Using technology to consolidate the market and build a ride-hailing service provider in Jordan and Saudi Arabia was the solution that they came up with.</p>
<p>When iMENA was introduced to the idea of a ride-hailing solution, it saw the opportunity of transforming the transportation industry with a disruptive business model. iMENA started with Jeeny (EasyTaxi at the time) early on as strategic partners; it joined forces and collaborated on optimizing marketing and operations, and worked with the authorities to shape the industry’s regulatory framework.</p>
<p>Jeeny hit the market with a vision of making people’s everyday lives easier by providing a simple innovative solution to a real problem. All the while, Jeeny has had a tremendous economic impact on the drivers who make the service possible, amplifying the network effect of the model and propelling the service towards scalability and growth.</p>
<p>Today, Jeeny has evolved beyond ride-hailing to become a comprehensive on-demand logistics marketplace with a large fleet of private car and taxi cab drivers in its key markets. Whether it’s food, groceries, or business correspondence that people need to move around town, Jeeny is the go-to name in Jordan and Saudi Arabia.</p>
<p>We have offices in Riyadh, Jeddah, Madinah, Amman, Lahore & Karachi.</p>
<h4>Program Overview</h4>
<p>Are you ready to accelerate your career and solve real-world problems from day one?</p>
<p>The Jeeny Graduate Trainee Program 2026 is designed for ambitious graduates who want to grow into the next generation of leaders at Jeeny.</p>
<p>This program offers direct exposure to senior leadership, high-impact business challenges, and fast-track learning opportunities across key functions of the business.</p>
<p>If you're curious, analytical, and ready to take ownership early in your career, this program will give you the platform to grow.</p>
<p><strong>Application deadline:</strong> July 18, 2026. We recommend applying early as applications may close once we receive sufficient interest.</p>
<p>Over a 6-month rotation, you will work on real business challenges across multiple teams while collaborating closely with senior leaders and decision-makers.</p>
<p>You will gain experience in areas such as:</p>
<ul>
<li><strong>Commercial (Growth & Pricing)</strong><br>Design data-driven strategies to improve driver and passenger engagement while strengthening customer loyalty. Analyze market data and optimize pricing strategies to maximize marketplace efficiency and revenue.</li>
<li><strong>Product</strong><br>Collaborate with product and engineering teams to identify user problems, design solutions, and help bring impactful features to life.</li>
<li><strong>Business Finance</strong><br>Work with financial and operational data to support strategic decision-making and improve business efficiency.</li>
<li><strong>Performance Marketing</strong><br>Monetization engine of Jeeny where you’ll manage in-app advertising campaigns and analyze marketing analytics to optimize campaign performance and drive revenue growth.</li>
</ul>
<p>Throughout the program, you will work closely with cross-functional teams and senior leaders to drive meaningful business outcomes.</p>
<h4>What You Will Do</h4>
<p>As part of the program, you will take ownership of real business challenges and contribute directly to strategic initiatives.</p>
<p>Your responsibilities may include:</p>
<ul>
<li>Analyzing complex datasets to identify insights and recommend data-driven solutions</li>
<li>Designing and implementing strategies to improve business performance</li>
<li>Supporting key business projects that impact drivers, passengers, and marketplace growth</li>
<li>Conducting market and competitive research to identify opportunities</li>
<li>Developing new processes and frameworks to improve operational efficiency</li>
<li>Running experiments and pilot initiatives to test new ideas</li>
<li>Collaborating with cross-functional teams including product, finance, marketing, and operations</li>
<li>Contributing to strategic discussions and initiatives alongside senior leadership</li>
</ul>
<p>This is a hands-on role where your ideas, insights, and ownership can create real impact from day one.</p>
<h4>Requirements</h4>
<p>We are looking for graduates who are analytical, curious, and driven to solve complex problems.</p>
<ul>
<li>Bachelor’s degree from an accredited university (graduating by August 2026)</li>
<li>Strong analytical and problem-solving skills</li>
<li>Familiarity with analytical tools such as Python, R, SQL, or similar</li>
<li>Proficiency in statistical analysis and data interpretation</li>
<li>Strong communication and collaboration skills</li>
<li>Ability to work in fast-paced and evolving environments</li>
<li>Curiosity, initiative, and willingness to challenge the status quo</li>
<li>A collaborative mindset and passion for building impact solutions</li>
</ul>
<h4>Application Process</h4>
<p>Once you submit your application, shortlisted candidates will go through the following stages:</p>
<ul>
<li>Application review</li>
<li>Case study assessment</li>
<li>Interviews</li>
<li>Final selection</li>
</ul>
<p>During the process, we will evaluate your problem-solving ability, analytical thinking, and motivation to contribute to Jeeny’s mission.</p>
<h4>Benefits</h4>
<ul>
<li>An opportunity to collaborate with talented individuals while learning, growing, and expanding your skill set</li>
<li>An environment that encourages you to take ownership and produce excellent outcomes every day</li>
<li>Health benefits and life insurance</li>
<li>Hybrid work model</li>
<li>Flexible working hours</li>
<li>Monthly codes to commute freely</li>
</ul>
<h4>Start Your Leadership Journey</h4>
<p>If you are ready to learn fast, take ownership, and grow alongside experienced leaders, we encourage you to apply.</p>
<p>Join us in building the future of mobility.</p>
<p>Apply now to the Jeeny Graduate Trainee Program 2026.</p>
<h4>Why Join Jeeny?</h4>
<ul>
<li>Be part of one of the leading mobility platforms in the region.</li>
<li>Work in a dynamic and collaborative environment.</li>
<li>Opportunity to lead impactful finance initiatives and process improvements.</li>
<li>Career growth and professional development opportunities.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>About Jeeny</h4>
<p>In 2014, a joint venture between iMENA Group and Rocket Internet was created to address the issues of fragmentation and inefficiency that were facing the Jordanian and Saudi taxi markets. Using technology to consolidate the market and build a ride-hailing service provider in Jordan and Saudi Arabia was the solution that they came up with.</p>
<p>When iMENA was introduced to the idea of a ride-hailing solution, it saw the opportunity of transforming the transportation industry with a disruptive business model. iMENA started with Jeeny (EasyTaxi at the time) early on as strategic partners; it joined forces and collaborated on optimizing marketing and operations, and worked with the authorities to shape the industry’s regulatory framework.</p>
<p>Jeeny hit the market with a vision of making people’s everyday lives easier by providing a simple innovative solution to a real problem. All the while, Jeeny has had a tremendous economic impact on the drivers who make the service possible, amplifying the network effect of the model and propelling the service towards scalability and growth.</p>
<p>Today, Jeeny has evolved beyond ride-hailing to become a comprehensive on-demand logistics marketplace with a large fleet of private car and taxi cab drivers in its key markets. Whether it’s food, groceries, or business correspondence that people need to move around town, Jeeny is the go-to name in Jordan and Saudi Arabia.</p>
<p>We have offices in Riyadh, Jeddah, Madinah, Amman, Lahore & Karachi.</p>
<h4>Program Overview</h4>
<p>Are you ready to accelerate your career and solve real-world problems from day one?</p>
<p>The Jeeny Graduate Trainee Program 2026 is designed for ambitious graduates who want to grow into the next generation of leaders at Jeeny.</p>
<p>This program offers direct exposure to senior leadership, high-impact business challenges, and fast-track learning opportunities across key functions of the business.</p>
<p>If you're curious, analytical, and ready to take ownership early in your career, this program will give you the platform to grow.</p>
<p><strong>Application deadline:</strong> July 18, 2026. We recommend applying early as applications may close once we receive sufficient interest.</p>
<p>Over a 6-month rotation, you will work on real business challenges across multiple teams while collaborating closely with senior leaders and decision-makers.</p>
<p>You will gain experience in areas such as:</p>
<ul>
<li><strong>Commercial (Growth & Pricing)</strong><br>Design data-driven strategies to improve driver and passenger engagement while strengthening customer loyalty. Analyze market data and optimize pricing strategies to maximize marketplace efficiency and revenue.</li>
<li><strong>Product</strong><br>Collaborate with product and engineering teams to identify user problems, design solutions, and help bring impactful features to life.</li>
<li><strong>Business Finance</strong><br>Work with financial and operational data to support strategic decision-making and improve business efficiency.</li>
<li><strong>Performance Marketing</strong><br>Monetization engine of Jeeny where you’ll manage in-app advertising campaigns and analyze marketing analytics to optimize campaign performance and drive revenue growth.</li>
</ul>
<p>Throughout the program, you will work closely with cross-functional teams and senior leaders to drive meaningful business outcomes.</p>
<h4>What You Will Do</h4>
<p>As part of the program, you will take ownership of real business challenges and contribute directly to strategic initiatives.</p>
<p>Your responsibilities may include:</p>
<ul>
<li>Analyzing complex datasets to identify insights and recommend data-driven solutions</li>
<li>Designing and implementing strategies to improve business performance</li>
<li>Supporting key business projects that impact drivers, passengers, and marketplace growth</li>
<li>Conducting market and competitive research to identify opportunities</li>
<li>Developing new processes and frameworks to improve operational efficiency</li>
<li>Running experiments and pilot initiatives to test new ideas</li>
<li>Collaborating with cross-functional teams including product, finance, marketing, and operations</li>
<li>Contributing to strategic discussions and initiatives alongside senior leadership</li>
</ul>
<p>This is a hands-on role where your ideas, insights, and ownership can create real impact from day one.</p>
<h4>Requirements</h4>
<p>We are looking for graduates who are analytical, curious, and driven to solve complex problems.</p>
<ul>
<li>Bachelor’s degree from an accredited university (graduating by August 2026)</li>
<li>Strong analytical and problem-solving skills</li>
<li>Familiarity with analytical tools such as Python, R, SQL, or similar</li>
<li>Proficiency in statistical analysis and data interpretation</li>
<li>Strong communication and collaboration skills</li>
<li>Ability to work in fast-paced and evolving environments</li>
<li>Curiosity, initiative, and willingness to challenge the status quo</li>
<li>A collaborative mindset and passion for building impact solutions</li>
</ul>
<h4>Application Process</h4>
<p>Once you submit your application, shortlisted candidates will go through the following stages:</p>
<ul>
<li>Application review</li>
<li>Case study assessment</li>
<li>Interviews</li>
<li>Final selection</li>
</ul>
<p>During the process, we will evaluate your problem-solving ability, analytical thinking, and motivation to contribute to Jeeny’s mission.</p>
<h4>Benefits</h4>
<ul>
<li>An opportunity to collaborate with talented individuals while learning, growing, and expanding your skill set</li>
<li>An environment that encourages you to take ownership and produce excellent outcomes every day</li>
<li>Health benefits and life insurance</li>
<li>Hybrid work model</li>
<li>Flexible working hours</li>
<li>Monthly codes to commute freely</li>
</ul>
<h4>Start Your Leadership Journey</h4>
<p>If you are ready to learn fast, take ownership, and grow alongside experienced leaders, we encourage you to apply.</p>
<p>Join us in building the future of mobility.</p>
<p>Apply now to the Jeeny Graduate Trainee Program 2026.</p>
<h4>Why Join Jeeny?</h4>
<ul>
<li>Be part of one of the leading mobility platforms in the region.</li>
<li>Work in a dynamic and collaborative environment.</li>
<li>Opportunity to lead impactful finance initiatives and process improvements.</li>
<li>Career growth and professional development opportunities.</li>
</ul></p><p></p>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br>Company Description<br><br><p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.</p><br><p>Take the opportunity to become a Heartist®, and let your heart guide you in this world where life beats faster.</p><br><br>Job Description<br><br><ul><li>Consistently offer a professional, friendly greeting and engaging service</li><li>Understand the Server’s tasks in the outlet</li><li>Understand shift end reports in the outlet and the POS system</li><li>Assist guests regarding food and beverage menu items in an informative and helpful way</li><li>Have knowledge of all menu items, garnishes, contents and preparation methods</li><li>Follow outlet policies, procedures and service standards</li><li>Follow all safety and sanitation policies when handling food and beverage</li><li>Other duties as assigned</li></ul><br>Qualifications<br><br><ul><li>Previous service experience an asset</li><li>Previous Point of Sale System experience an asset</li><li>Excellent communication and organizational skills</li><li>Strong interpersonal and problem solving abilities</li><li>Highly responsible & reliable</li><li>Ability to work well under pressure in a fast paced environment</li><li>Ability to work cohesively as part of a team</li><li>Ability to focus attention on guest needs, remaining calm and courteous at all times</li></ul><br>Additional Information<br><br><p>Experience is an asset<br>Prior experience working with Opera or a related system<br>Strong interpersonal and problem solving abilities<br>Fluency in English, additional languages are a plus</p><br> </div>
Crystalia Glass
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Head of Marketing — US Market Company: Crystalia Glass Contract: B2B Format: Remote Market: US Working hours: 8:30 AM–5:00 PM New York time, with at least 6 hours of daily overlap Media budget: $200K+/month Crystalia Glass is a US manufacturer and installer of premium architectural glass systems for residential and commercial interiors , including glass partitions, sliding glass walls, and steel- and aluminum-framed systems.<br> We are looking for a Head of Marketing to own and develop our US marketing function across brand, growth, performance, analytics, and team leadership.<br> Core Requirements 7+ years of marketing experience , including 3+ years leading a full marketing function with ownership of strategy, budget, team, and results.<br> Direct experience owning marketing for the US market , with responsibility for customer acquisition, demand generation, and brand growth.<br> Experience marketing the same product or brand to both B2B and B2C audiences simultaneously — with distinct positioning, customer journeys, acquisition strategies, and funnels for each audience.<br> Experience in a relevant or closely related industry — ideally construction, building materials, architecture and interior products, custom furniture, home improvement, premium home products , or another comparable high-consideration category.<br> Experience managing significant paid media budgets — ideally $1.<br>5M+ annually — with the ability to discuss actual spend, channel allocation, and resulting business performance.<br> Strong full-funnel analytics experience, including attribution, CAC, ROMI, conversion rates, channel economics, and analysis through to closed revenue.<br> Strong experience with CRM systems , including pipeline structure, workflows, lead qualification, reporting, and funnel analysis.<br> We currently use HubSpot, but experience with other advanced CRM platforms is absolutely fine.<br> Experience leading distributed marketing teams of 8+ people , including specialists, contractors, and agencies.<br> Proven marketing and growth results supported by specific numbers and business outcomes .<br> English C1+ , with strong written English for US-facing communication, messaging, and creative review.<br> What You'll OwnBrand & Market Position Define and strengthen Crystalia's positioning in the US premium market Build consistent messaging and brand standards across channels and customer touchpoints Develop a visual production pipeline for completed projects — photography, video, and portfolio content Build PR and media presence in architecture, interior design, construction, and relevant lifestyle publications Develop partnerships with architects, interior designers, contractors, and other trade professionals Growth & Performance Own marketing-sourced growth across both B2B and B2C Manage and allocate a $200K+ monthly media budget Lead strategy across paid search, paid social, SEO, content, CRM, and other acquisition channels Make channel and budget decisions based on closed revenue and unit economics , not lead volume alone Improve qualified demand, conversion, CAC, ROMI, and overall marketing efficiency Analytics & Funnel Build visibility from first touch through closed revenue Develop attribution and channel-level unit economics Track and use CAC, ROMI, conversion rates, close rates, average deal value, and sales-cycle length Analyze lost opportunities, objections, CRM data, and customer conversations to improve positioning and campaigns Build concise executive reporting focused on metrics that drive decisions Sales Partnership You will work with Sales leadership as a peer partner , not as the manager of the Sales organization.<br> Together, Marketing and Sales will: Define and review lead qualification criteria Analyze lead quality, conversion, and revenue by source Review funnel performance and lost-deal reasons Improve the handoff and customer journey between Marketing and Sales Marketing owns funnel analysis through closed revenue; Sales leadership owns sales targets, processes, and people.<br> Team & Operations You will lead a distributed marketing team across B2B and B2C marketing, SEO, PPC, Paid Social, SMM, Community, Design, and CRM .<br> You will: Assess and develop the existing team structure Strengthen brand and analytics capabilities Hire and manage specialists, contractors, and agencies Establish clear ownership, processes, quality standards, and accountability Build systems that can scale with the business Digital & E-commerce Our new website is currently in development and will introduce e-commerce elements, including customer accounts and online purchasing for selected products.<br> E-commerce is not our primary business model, but experience with digital customer journeys, online conversion, and e-commerce mechanics will be valuable.<br> Strong Advantages Premium or luxury product experience Architecture, construction, building materials, interiors, custom furniture, or home improvement background Experience with architect, designer, contractor, or other specifier channels Experience building a brand function from the ground up PR and media relations in architecture, design, construction, or lifestyle Showroom, trade show, or physical retail marketing New product launches in established markets Practical use of AI in marketing workflows for analysis, research, content production, and automation What Success Looks Like Build Crystalia into a stronger and more recognizable premium brand in the US architectural glass market , while creating a marketing system that produces predictable and profitable revenue growth.<br> Success means stronger qualified demand across B2B and B2C, clear attribution from first touch to revenue, smarter budget allocation, strong alignment with Sales, and a marketing organization that can scale with the business.<br></span> </div>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p>
<p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p>
<h4>Requirements:</h4>
<h4>Solution architecture & presales leadership</h4>
<ul>
<li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Solution architecture documents</li>
<li>Technical proposals</li>
<li>Bill of materials (BoM)</li>
<li>Compliance matrices</li>
<li>RFP/RFI/RFQ responses</li>
</ul>
</li>
<li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li>
</ul>
<h4>Customer engagement & technical advisory</h4>
<ul>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable infrastructure and end-user solutions</li>
<li>Support opportunity qualification and strategic solution positioning alongside sales teams</li>
<li>Lead proof of concepts (PoCs) and technical evaluation activities</li>
</ul>
<h4>Enterprise infrastructure solutions</h4>
<p>Design and position solutions across:</p>
<ul>
<li>Servers (rack, blade, hyperconverged)</li>
<li>Enterprise storage solutions (SAN, NAS, SDS)</li>
<li>Virtualization platforms</li>
<li>Hyperconverged infrastructure (HCI)</li>
<li>Backup and disaster recovery solutions</li>
<li>Data center modernization initiatives</li>
</ul>
<p>Design high availability and business continuity architectures aligned with customer requirements</p>
<h4>Cloud & platform solutions</h4>
<ul>
<li>Support hybrid cloud and private cloud architecture initiatives</li>
<li>Contribute to container platform discussions including:
<ul>
<li>Kubernetes</li>
<li>OpenShift</li>
</ul>
</li>
<li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li>
</ul>
<h4>End-user computing solutions</h4>
<ul>
<li>Design and support solutions across:
<ul>
<li>VDI and desktop virtualization</li>
<li>Endpoint management (UEM)</li>
<li>Collaboration solutions</li>
<li>Laptops, workstations, and thin clients</li>
<li>OS deployment and lifecycle management</li>
</ul>
</li>
</ul>
<h4>Vendor & cross-functional collaboration</h4>
<ul>
<li>Coordinate with vendors for:
<ul>
<li>Design validation</li>
<li>Technical alignment</li>
<li>Commercial and pricing support</li>
</ul>
</li>
<li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li>
<li>Support customer success initiatives through ongoing technical engagement where required</li>
</ul>
<h4>Technical leadership & knowledge sharing</h4>
<ul>
<li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Contribute to technical standards, reusable templates, and best practice frameworks</li>
<li>Support certification and capability development initiatives within the team</li>
</ul>
<h4>Documentation & best practices</h4>
<ul>
<li>Maintain accurate technical documentation and solution records</li>
<li>Ensure proposed solutions align with customer standards and industry best practices</li>
<li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li>
<li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Enterprise infrastructure and data center technologies</li>
<li>Virtualization and HCI platforms</li>
<li>Backup and disaster recovery solutions</li>
<li>End-user computing and VDI environments</li>
<li>Hybrid cloud and private cloud architectures</li>
</ul>
</li>
<li>Strong architecture, sizing, and infrastructure design capabilities</li>
<li>Good understanding of:
<ul>
<li>Containers and Kubernetes platforms</li>
<li>Automation and orchestration concepts</li>
<li>High availability and disaster recovery architectures</li>
</ul>
</li>
<li>Hands-on or presales experience with one or more of the following vendors and technologies:
<ul>
<li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li>
<li>Nutanix</li>
<li>VMware / Broadcom</li>
<li>Red Hat OS and OpenShift</li>
<li>Veeam / Cohesity</li>
<li>Huawei</li>
<li>Citrix / Omnissa (VDI)</li>
<li>IBM Hardware</li>
</ul>
</li>
<li>Proven experience designing and positioning enterprise data center and end-user solutions</li>
<li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li>
<li>Experience supporting enterprise and government customer engagements is preferred</li>
</ul>
<h4>Certifications (Preferred)</h4>
<ul>
<li>VMware (VCP)</li>
<li>Nutanix (NCP)</li>
<li>Dell Technologies certifications</li>
<li>Veeam, Cohesity, or backup-related certifications</li>
<li>Red Hat certifications</li>
<li>Oracle Hardware certifications</li>
<li>Huawei certifications</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p>
<p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p>
<h4>Requirements:</h4>
<h4>Solution architecture & presales leadership</h4>
<ul>
<li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Solution architecture documents</li>
<li>Technical proposals</li>
<li>Bill of materials (BoM)</li>
<li>Compliance matrices</li>
<li>RFP/RFI/RFQ responses</li>
</ul>
</li>
<li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li>
</ul>
<h4>Customer engagement & technical advisory</h4>
<ul>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable infrastructure and end-user solutions</li>
<li>Support opportunity qualification and strategic solution positioning alongside sales teams</li>
<li>Lead proof of concepts (PoCs) and technical evaluation activities</li>
</ul>
<h4>Enterprise infrastructure solutions</h4>
<p>Design and position solutions across:</p>
<ul>
<li>Servers (rack, blade, hyperconverged)</li>
<li>Enterprise storage solutions (SAN, NAS, SDS)</li>
<li>Virtualization platforms</li>
<li>Hyperconverged infrastructure (HCI)</li>
<li>Backup and disaster recovery solutions</li>
<li>Data center modernization initiatives</li>
</ul>
<p>Design high availability and business continuity architectures aligned with customer requirements</p>
<h4>Cloud & platform solutions</h4>
<ul>
<li>Support hybrid cloud and private cloud architecture initiatives</li>
<li>Contribute to container platform discussions including:
<ul>
<li>Kubernetes</li>
<li>OpenShift</li>
</ul>
</li>
<li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li>
</ul>
<h4>End-user computing solutions</h4>
<ul>
<li>Design and support solutions across:
<ul>
<li>VDI and desktop virtualization</li>
<li>Endpoint management (UEM)</li>
<li>Collaboration solutions</li>
<li>Laptops, workstations, and thin clients</li>
<li>OS deployment and lifecycle management</li>
</ul>
</li>
</ul>
<h4>Vendor & cross-functional collaboration</h4>
<ul>
<li>Coordinate with vendors for:
<ul>
<li>Design validation</li>
<li>Technical alignment</li>
<li>Commercial and pricing support</li>
</ul>
</li>
<li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li>
<li>Support customer success initiatives through ongoing technical engagement where required</li>
</ul>
<h4>Technical leadership & knowledge sharing</h4>
<ul>
<li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Contribute to technical standards, reusable templates, and best practice frameworks</li>
<li>Support certification and capability development initiatives within the team</li>
</ul>
<h4>Documentation & best practices</h4>
<ul>
<li>Maintain accurate technical documentation and solution records</li>
<li>Ensure proposed solutions align with customer standards and industry best practices</li>
<li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li>
<li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Enterprise infrastructure and data center technologies</li>
<li>Virtualization and HCI platforms</li>
<li>Backup and disaster recovery solutions</li>
<li>End-user computing and VDI environments</li>
<li>Hybrid cloud and private cloud architectures</li>
</ul>
</li>
<li>Strong architecture, sizing, and infrastructure design capabilities</li>
<li>Good understanding of:
<ul>
<li>Containers and Kubernetes platforms</li>
<li>Automation and orchestration concepts</li>
<li>High availability and disaster recovery architectures</li>
</ul>
</li>
<li>Hands-on or presales experience with one or more of the following vendors and technologies:
<ul>
<li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li>
<li>Nutanix</li>
<li>VMware / Broadcom</li>
<li>Red Hat OS and OpenShift</li>
<li>Veeam / Cohesity</li>
<li>Huawei</li>
<li>Citrix / Omnissa (VDI)</li>
<li>IBM Hardware</li>
</ul>
</li>
<li>Proven experience designing and positioning enterprise data center and end-user solutions</li>
<li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li>
<li>Experience supporting enterprise and government customer engagements is preferred</li>
</ul>
<h4>Certifications (Preferred)</h4>
<ul>
<li>VMware (VCP)</li>
<li>Nutanix (NCP)</li>
<li>Dell Technologies certifications</li>
<li>Veeam, Cohesity, or backup-related certifications</li>
<li>Red Hat certifications</li>
<li>Oracle Hardware certifications</li>
<li>Huawei certifications</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>About the opportunity<br>
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p>
<h4>Role overview</h4>
<p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p>
<p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p>
<p>At the staff level, you will:</p>
<ul>
<li>Define and evolve the technical foundations of the AI platform</li>
<li>Build systems that accelerate engineering teams across the organisation</li>
<li>Set standards for reliability, security, and scalability</li>
<li>Lead architecture decisions and evaluate emerging technologies</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>AI platform infrastructure</strong><br>
Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br>
Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br>
Develop data pipelines for document ingestion, transformation, and storage.<br>
Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p>
<p><strong>Observability & reliability</strong><br>
Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br>
Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br>
Lead incident response, root-cause analysis, and postmortems.<br>
Establish platform standards for operational excellence.</p>
<p><strong>Force multiplication</strong><br>
Build reusable internal tooling, SDKs, and deployment patterns.<br>
Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br>
Mentor engineers and raise technical standards across the organisation.</p>
<h4>Basic qualifications</h4>
<ul>
<li>10+ years of platform, infrastructure, or backend engineering experience</li>
<li>Proven experience operating at staff or principal engineer level</li>
<li>Deep expertise in Azure (AWS or GCP also valued)</li>
<li>Strong Kubernetes and Docker experience</li>
<li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li>
<li>Experience building production data pipelines</li>
<li>Proficiency in Python, Java/Kotlin, or Go</li>
<li>Strong PostgreSQL knowledge at production scale</li>
<li>Experience with distributed tracing, metrics, logging, and alerting</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Excellent written and verbal communication skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience building RAG systems and retrieval infrastructure</li>
<li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li>
<li>Hands-on experience with GPU-based inference infrastructure</li>
<li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li>
<li>Familiarity with LLM inference optimization and evaluation frameworks</li>
<li>Experience with speech and conversational AI systems</li>
<li>Experience building internal developer platforms</li>
<li>Security and compliance experience in highly regulated environments</li>
</ul>
<h4>Technology stack</h4>
<p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br>
<strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br>
<strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br>
<strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br>
<strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br>
<strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br>
<strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br>
<strong>AI development:</strong> Codex, Claude Code, OpenCode</p>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Thinks in systems and enables others to move faster</li>
<li>Designs infrastructure that is reliable, scalable, and easy to operate</li>
<li>Grounds technical decisions in evidence and operational data</li>
<li>Raises engineering standards through architecture and mentorship</li>
<li>Communicates clearly and transparently</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>About the opportunity<br>
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p>
<h4>Role overview</h4>
<p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p>
<p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p>
<p>At the staff level, you will:</p>
<ul>
<li>Define and evolve the technical foundations of the AI platform</li>
<li>Build systems that accelerate engineering teams across the organisation</li>
<li>Set standards for reliability, security, and scalability</li>
<li>Lead architecture decisions and evaluate emerging technologies</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>AI platform infrastructure</strong><br>
Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br>
Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br>
Develop data pipelines for document ingestion, transformation, and storage.<br>
Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p>
<p><strong>Observability & reliability</strong><br>
Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br>
Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br>
Lead incident response, root-cause analysis, and postmortems.<br>
Establish platform standards for operational excellence.</p>
<p><strong>Force multiplication</strong><br>
Build reusable internal tooling, SDKs, and deployment patterns.<br>
Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br>
Mentor engineers and raise technical standards across the organisation.</p>
<h4>Basic qualifications</h4>
<ul>
<li>10+ years of platform, infrastructure, or backend engineering experience</li>
<li>Proven experience operating at staff or principal engineer level</li>
<li>Deep expertise in Azure (AWS or GCP also valued)</li>
<li>Strong Kubernetes and Docker experience</li>
<li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li>
<li>Experience building production data pipelines</li>
<li>Proficiency in Python, Java/Kotlin, or Go</li>
<li>Strong PostgreSQL knowledge at production scale</li>
<li>Experience with distributed tracing, metrics, logging, and alerting</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Excellent written and verbal communication skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience building RAG systems and retrieval infrastructure</li>
<li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li>
<li>Hands-on experience with GPU-based inference infrastructure</li>
<li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li>
<li>Familiarity with LLM inference optimization and evaluation frameworks</li>
<li>Experience with speech and conversational AI systems</li>
<li>Experience building internal developer platforms</li>
<li>Security and compliance experience in highly regulated environments</li>
</ul>
<h4>Technology stack</h4>
<p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br>
<strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br>
<strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br>
<strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br>
<strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br>
<strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br>
<strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br>
<strong>AI development:</strong> Codex, Claude Code, OpenCode</p>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Thinks in systems and enables others to move faster</li>
<li>Designs infrastructure that is reliable, scalable, and easy to operate</li>
<li>Grounds technical decisions in evidence and operational data</li>
<li>Raises engineering standards through architecture and mentorship</li>
<li>Communicates clearly and transparently</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>
Jordan - Amman
<p><h4>Job summary</h4>
<p>Responsible for all front office functions and staff. Areas of responsibility include bell staff, switchboard operations, guest services/front desk and retail/gift shop, as applicable. As a department head, directs and works with managers and employees to successfully execute all front office operations, including guest arrival and departure procedures. Strives to continually improve guest and employee satisfaction and maximize the financial performance of the department.</p>
<h4>Candidate profile</h4>
<h4>Education and experience</h4>
<ul>
<li>High school diploma or GED; 4 years experience in the guest services, front desk, or related professional area.</li>
<li>OR</li>
<li>2-year degree from an accredited university in hotel and restaurant</p><p></p>
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a motivated developer in the Fintech space with 1 4 years of experience to join our growing team. The ideal candidate combines a solid understanding of the payments ecosystem with practical Python skills to support integrations, data analysis, operational improvements, and payment-related product initiatives. This role is well suited for someone who has worked with payment providers, acquiring banks, payment gateways, digital wallets, or fintech platforms and wants to deepen their technical and business expertise.</p><p>Key Responsibilities</p><ul><li>Work with APIs to integrate payment providers (PSPs) and fintech solutions.</li><li>Assist in troubleshooting of payment-related issues</li><li>Analyze transaction flows, payments and reconciliation processes.</li><li>Collaborate with Product, Engineering, Operations, Compliance, and Finance teams on payment initiatives.</li><li>Generate reports and dashboards using payment and transaction data.</li><li>Contribute to the evaluation and onboarding of new payment methods, providers, and fintech partners.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>1 4 years of experience in fintech, payments, or related fields.</li><li>Experience working with REST APIs and JSON data.</li><li>Experience with SQL</li><li>Experience with Python(Flask or django)</li><li>Analytical mindset with strong problem-solving abilities.</li><li>Excellent communication skills and ability to work across technical and business teams.</li><li>Understanding of PCI-DSS, Open Banking, or other payments-related regulations.</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP).</li><li>Familiarity with payment fraud prevention and risk management concepts.</li><li>Exposure to ETL processes, data pipelines, or workflow automation.</li></ul><p></p></section>
toto
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Key Responsibilities</strong></p> <ul> <li>Develop and deliver high-quality Outsystems applications in alignment with business requirements.</li> <li>Provide technical leadership and mentorship to development teams, promoting best practices.</li> <li>Work with clients and stakeholders to gather requirements and translate them into technical specifications.</li> <li>Ensure the successful execution of the software development lifecycle, from design to deployment.</li> <li>Participate in code reviews and oversee adherence to coding standards.</li> <li>Stay current with Outsystems advancements and industry innovations to integrate new technologies.</li> <li>Lead project meetings to track progress and ensure timely delivery of milestones.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Bachelor's degree in Computer Science, Software Engineering or a related field.</li> <li>A minimum of 7 years of software development experience, specializing in Outsystems.</li> <li>At least 3 years in a leadership or senior role within the Outsystems ecosystem.</li> <li>Deep understanding of application design patterns and software development best practices.</li> <li>Experience with Agile project management methodologies.</li> <li>Strong communication and team collaboration skills.</li> <li>A proactive mindset with the ability to solve complex problems.</li> <li>Outsystems certification(s) is highly regarded.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>BlackStone eIT is looking for a talented Outsystems Senior Developer to elevate our development teams. In this pivotal role, you will be at the forefront of our Outsystems projects, leading initiatives that are crucial for our clients' success. You will leverage your extensive knowledge of the Outsystems platform to mentor junior developers and collaborate closely with business stakeholders to create cutting-edge applications that drive business value.</p><p></p></section>
Jordan - Jordan
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Senior Software Engineer (Node.js) at Aspire, you will design, develop, and maintain scalable, high-performance backend applications and APIs that power our products and services. You will play a key role in building cloud-native applications, designing microservices, and delivering secure, reliable, and maintainable software solutions. Working closely with Product, QA, DevOps, and Engineering teams, you will contribute to the entire software development lifecycle while mentoring junior engineers and driving engineering best practices.</p><p>What you'll do</p><ul><li>Design, develop, and maintain scalable backend applications using Node.js and JavaScript/TypeScript.</li><li>Build and maintain RESTful APIs and microservices to support business and product requirements.</li><li>Develop secure, high-performance, and maintainable backend services following engineering best practices.</li><li>Design and optimize SQL and NoSQL database schemas and queries to ensure performance and scalability.</li><li>Integrate backend services with third-party APIs, cloud services, and external systems.</li><li>Participate in system architecture discussions, technical design, code reviews, and solution planning.</li><li>Troubleshoot and resolve production issues while ensuring high system availability and reliability.</li><li>Develop unit, integration, and end-to-end tests to maintain high code quality.</li><li>Continuously improve application performance, scalability, security, and maintainability.</li><li>Collaborate with Product Managers, QA Engineers, DevOps Engineers, and cross-functional teams throughout the software development lifecycle.</li><li>Mentor junior engineers through code reviews, technical guidance, and knowledge sharing.</li><li>Prepare and maintain technical documentation for applications, APIs, and architectural designs.</li></ul><p>What you'll need</p><ul><li>Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>Minimum of 5 years of professional software development experience, including at least 3 years of hands-on experience with Node.js.</li><li>Strong proficiency in JavaScript (ES6+) and TypeScript.</li><li>Experience building scalable RESTful APIs and microservices.</li><li>Strong understanding of asynchronous programming, event-driven architecture, and Node.js internals.</li><li>Experience with Node.js frameworks such as Express.js, NestJS, or similar.</li><li>Strong knowledge of SQL and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.</li><li>Experience working with Docker and containerized applications.</li><li>Experience using Git and modern CI/CD pipelines.</li><li>Strong understanding of software design principles, clean architecture, and design patterns.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform is an advantage.</li><li>Knowledge of Kubernetes, messaging systems (Kafka/RabbitMQ), and secure application development is a plus.</li></ul><p>Why Aspire</p><p>In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation. Be part of a remote-first organization where flexibility is embraced. Work and learn alongside talented engineers and technology leaders. Explore opportunities to learn and grow through technical and non-technical training programs. Gain global exposure by working on products with international teams and clients. Enjoy our nursery reimbursement benefit. Attend virtual and in-person international technology conferences to expand your knowledge and network.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>Minimum of 5 years of professional software development experience, including at least 3 years of hands-on experience with Node.js.</li><li>Strong proficiency in JavaScript (ES6+) and TypeScript.</li><li>Experience building scalable RESTful APIs and microservices.</li><li>Strong understanding of asynchronous programming, event-driven architecture, and Node.js internals.</li><li>Experience with Node.js frameworks such as Express.js, NestJS, or similar.</li><li>Strong knowledge of SQL and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.</li><li>Experience working with Docker and containerized applications.</li><li>Experience using Git and modern CI/CD pipelines.</li><li>Strong understanding of software design principles, clean architecture, and design patterns.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform is an advantage.</li><li>Knowledge of Kubernetes, messaging systems (Kafka/RabbitMQ), and secure application development is a plus.</li></ul><p></p></section>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p>
<h4>Responsibilities:</h4>
<ol>
<li><strong>Strategy & architecture leadership</strong><br>
Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br>
Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br>
Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br>
Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br>
Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li>
<li><strong>AI solution design & technical oversight</strong><br>
Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br>
Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br>
Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br>
Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br>
Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br>
Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li>
<li><strong>Platform engineering & infrastructure</strong><br>
Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br>
Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br>
Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br>
Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br>
Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li>
<li><strong>Governance, compliance & responsible AI</strong><br>
Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br>
Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br>
Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br>
Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br>
Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li>
<li><strong>Technical leadership & enablement</strong><br>
Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br>
Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br>
Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br>
Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br>
Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li>
<li><strong>Stakeholder engagement & communication</strong><br>
Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br>
Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br>
Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br>
Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li>
</ol>
<h4>Requirements</h4>
<p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br>
Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br>
Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br>
TOGAF or equivalent enterprise architecture certification is preferred.<br>
7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br>
4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br>
Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br>
Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br>
Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br>
Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p>
<p><strong>AI & technology skills:</strong><br>
Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br>
Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br>
Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br>
Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br>
Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br>
Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br>
Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br>
Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>
Confidential
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p><p>Responsibilities:</p><ol><li>Strategy & Architecture Leadership<ul><li>Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments</li><li>Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design & Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality & Regulatory Affairs, R&D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering & Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance & Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership & Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement & Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation</li></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture & Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops & Model Lifecycle Management</li><li>Enterprise Integration & API Design</li><li>Data Architecture & Data Engineering</li><li>AI Governance, Ethics & Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI & Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company.<br> Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy.<br> The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.<br> Responsibilities: 1.<br> Strategy & Architecture Leadership Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design & Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality & Regulatory Affairs, R&D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering & Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance & Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership & Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement & Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture & Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops & Model Lifecycle Management - Enterprise Integration & API Design - Data Architecture & Data Engineering - AI Governance, Ethics & Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI & Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>A QC Lead is a hands-on quality control professional who personally executes and oversees both manual and automation testing activities to ensure that delivered products and services meet established quality standards.<br> The QC Lead writes and runs test cases, builds and maintains automation frameworks, owns the delivery of all testing artifacts, and is directly accountable for the UAT success of each project.<br> This is a full-time position reporting to the Quality Manager.<br> Ideal candidates are strong technical practitioners who lead by example, enjoy solving problems first-hand, and thrive in fast-paced, collaborative environments Daily and Monthly Responsibilities • Hands-on experience to design, write, and execute manual test cases, test scenarios, and test scripts covering functional, regression, integration, and end-to-end testing.<br> • Perform hands-on exploratory, smoke, and sanity testing to validate builds before release.<br> • Architect, develop, and maintain automated test frameworks and scripts, and personally run automated test suites as part of daily testing cycles.<br> • Write and review automation code, continuously enhancing test coverage and integrating automated tests into CI/CD pipelines.<br> • Develop, maintain, and enhance the test automation infrastructure to improve efficiency and reliability.<br> • Prepare, maintain, and deliver all testing artifacts for each delivered project, including test plans, test cases, test data, traceability matrices, test execution reports, defect reports, and test summary reports.<br> • Own and drive User Acceptance Testing (UAT) end-to-end — plan UAT cycles, prepare UAT test cases and environments, coordinate with stakeholders, execute UAT scenarios, and be directly responsible for the UAT success of the project.<br> • Execute and report on planned tests, log and manage defects with clear reproduction steps, and regress software fixes for new and existing products.<br> • Identify root causes of quality problems through hands-on investigation and coordinate corrective actions with development teams.<br> • Assist development teams with replicating, debugging, and resolving defects by personally reproducing issues in test environments.<br> • Perform hands-on business requirements review and verification to ensure testability, completeness, and adequate test coverage.<br> • Participate actively in all phases of the software development lifecycle, from requirements analysis through test planning, execution, and sign-off.<br> • Lead the QC team by example — set quality benchmarks, assign tasks, and guide the team while remaining actively involved in day-to-day testing work.<br> • Mentor and train junior, mid-level, and senior QC engineers on manual testing techniques, automation tools, policies, and procedures.<br> • Work collaboratively with development and business groups to complete testing and ensure seamless product delivery.<br> • Develop and implement quality standards, audit functionality, establish testing templates, monitor outcomes against success measures, and provide detailed status reports.<br> • Identify areas for quality and process improvement and implement plans to support positive outcomes for the business and customers.<br> • Coordinate with internal and external stakeholders regarding quality status, test outcomes, and project readiness.<br> • Assist with performance evaluations as needed.<br> • Perform other duties as assigned.<br> • Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent education and work experience.<br> • 8+ years of hands-on experience in software quality control/testing, with at least 3–4 years in a lead or supervisory role.<br> • 5+ years of hands-on experience in manual testing (functional, regression, integration, end-to-end).<br> • 2+ years of hands-on experience in test automation (framework development, scripting, CI/CD integration).<br> • Professional certification such as ISTQB-CTFL or ISTQB-CTAL.<br> • Proven hands-on experience executing both manual testing (functional, regression, integration, end-to-end) and test automation (framework development, scripting, CI/CD integration).<br> • Proficiency in test automation tools and frameworks (e.<br>g., Selenium, Cypress, Appium, TestNG, JUnit, or similar) with the ability to write, debug, and maintain automation code.<br> • Proficiency in at least one programming or scripting language (e.<br>g., Java, Python, JavaScript).<br> • Demonstrated experience preparing and delivering complete testing artifacts (test plans, test cases, traceability matrices, defect reports, test summary reports).<br> • Track record of owning UAT cycles and driving them to successful completion.<br> • Strong problem-solving skills with the ability to personally identify bugs, analyse root causes, and drive resolution.<br> • In-depth knowledge of testing methodologies, phases, and approaches, including functional, regression, integration, performance, and end-to-end testing.<br> • Strong teamwork and communication skills, with the ability to collaborate effectively with QC, development, and business groups.<br> • Ability to multi-task, triage issues, react well to changes, and work independently or in a team setting in a fast-paced environment.<br> • Excellent command of written and spoken English.<br></span> </div>
Confidential
Jordan - Amman
<p><h4>About Maqsam:</h4>
<p>Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p>
<h4>Your opportunity:</h4>
<p>We are seeking a backend software engineer to join our innovative team at Maqsam. This role is ideal for those eager to develop their technical skills in a dynamic SaaS environment. You will participate in various stages of software development, from design to deployment, making significant contributions to our cutting-edge contact center solutions.</p>
<p>In this role, you'll work closely with tech leads, senior engineers, and operations managers, gaining crucial industry experience and contributing to projects that enhance user experiences and broaden our product’s capabilities.</p>
<h4>Your top responsibilities:</h4>
<ul>
<li>Translate business requirements into well-defined technical solutions and implement them to achieve the desired functionality.</li>
<li>Debug and troubleshoot complex software issues in a high-availability environment.</li>
<li>Optimize system performance through rigorous testing and code refinement.</li>
<li>Collaborate with cross-functional teams to integrate new technologies and frameworks.</li>
<li>Conduct code reviews to ensure code quality and implementation of best practices.</li>
<li>Document development processes, code changes, and other critical information accurately.</li>
<li>Participate in the design and architecture decisions of our internal systems and databases.</li>
<li>Support junior software engineers and participate in ramping up new joiners.</li>
</ul>
<h4>What we expect from you:</h4>
<ul>
<li>Experience with backend or full-stack web development is a must, focusing on scalable and robust system design.</li>
<li>Proven ability in writing high-quality, readable, and scalable code.</li>
<li>Strong skills in debugging complex systems, with the ability to analyze and resolve challenging technical issues.</li>
<li>Experience with relational databases and their integration into systems.</li>
<li>Solid foundation in computer science, with strong competencies in data structures, algorithms, and software design optimized for scalable systems.</li>
<li>Ability to work in a fast-paced, team-oriented environment and to contribute to the team with innovative solutions.</li>
<li>Proven ability to learn new technologies and explore new concepts and frameworks quickly and effectively.</li>
</ul>
<h4>Additional information:</h4>
<ul>
<li>3-5 years of experience in backend or full-stack web development.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication skills, capable of effectively articulating technical challenges and solutions to both technical and non-technical team members.</li>
<li>A commitment to continuous professional development and eagerness to learn new technologies.</li>
<li>A degree in computer science, engineering, or a related field is preferred.</li>
<li>Experience in mobile development is a plus.</li>
<li>Experience working on VoIP-related projects is a plus.</li>
<li>Experience with Ruby on Rails or any similar web framework, JavaScript, Vue.js or a comparable frontend framework, and PostgreSQL or other relational databases is a strong plus.</li>
</ul>
<h4>What we provide:</h4>
<ul>
<li>Join a world-class team at Maqsam, where your growth is our priority. Here’s what you can expect:</li>
<li>A collaborative and friendly environment.</li>
<li>Personal and professional growth: opportunities to learn and become a world-class professional.</li>
<li>Fair compensation: we value your contribution.</li>
<li>Transparency: a culture that thrives on open communication.</li>
<li>Benefits: first-class health insurance, and more.</li>
<li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li>
</ul></p><p></p>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Provide first-line and second-line (L1/L2) support for banking and business applications, ensuring timely resolution of incidents and service requests.<br> Monitor application health, availability, and performance, proactively identifying and escalating issues when necessary.<br> Troubleshoot application, integration, and data-related issues, ensuring minimal disruption to business operations.<br> Support daily operational activities, including batch processing, job scheduling, and end-of-day (EOD) banking activities.<br> Perform application deployment and configuration activities across development, testing, and production environments under established change procedures.<br> Coordinate with development, infrastructure, database, and vendor teams to investigate and resolve application issues.<br> Maintain accurate incident records, root cause analysis documentation, and support knowledge base articles.<br> Participate in incident, problem, and change management processes in accordance with ITIL best practices.<br> Assist in user acceptance testing (UAT), system upgrades, patch deployments, and release activities.<br> Monitor logs and system alerts, escalating critical issues to senior support staff and management as required.<br> Ensure compliance with internal policies, security standards, audit requirements, and banking regulations.<br> Support business users by providing guidance, training, and timely communication during incidents and service disruptions.<br> Contribute to continuous improvement initiatives to enhance application stability, support processes, and service quality.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 2–5 years of experience in application support, IT operations, or a similar technical support role.<br> Experience supporting banking, financial services, or enterprise applications is preferred.<br> Familiarity with service management frameworks such as ITIL.<br></span> </div>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Optimiza is looking for a dedicated MS Dynamics ERP System Supervisor to oversee the management and optimization of our Microsoft Dynamics ERP environment. This leadership role requires a deep understanding of Microsoft Dynamics ERP systems, combined with strong supervisory skills to manage the ERP team and ensure seamless system performance and support.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Supervise daily operations and administration of Microsoft Dynamics ERP systems to ensure high availability and reliability.</li>
<li>Lead the implementation, configuration, and upgrades of Dynamics ERP modules according to business needs.</li>
<li>Manage and mentor the ERP support team, coordinating troubleshooting, issue resolution, and user support activities.</li>
<li>Collaborate with functional consultants and business stakeholders to gather requirements and deliver system enhancements.</li>
<li>Monitor system performance and security, and implement best practices to maintain system integrity.</li>
<li>Develop and maintain comprehensive documentation of system configurations, processes, and procedures.</li>
<li>Provide training and support to end-users to maximize system utilization and effectiveness.</li>
<li>Ensure compliance with organizational policies and industry standards.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field.</li>
<li>Minimum of 5 years of experience working with Microsoft Dynamics ERP systems, including system administration and supervision.</li>
<li>Strong knowledge of Dynamics ERP modules, customization, integrations, and upgrades.</li>
<li>Proven experience managing and leading ERP support teams.</li>
<li>Excellent problem-solving, communication, and leadership skills.</li>
<li>Ability to work collaboratively across departments and manage multiple priorities.</li>
<li>Relevant Microsoft Dynamics certifications are highly desirable.</li>
</ul>
<h4>Benefits</h4>
<p>Class A health insurance</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Provide first-line and second-line (L1/L2) support for banking and business applications, ensuring timely resolution of incidents and service requests.</p>
<p>Monitor application health, availability, and performance, proactively identifying and escalating issues when necessary.</p>
<p>Troubleshoot application, integration, and data-related issues, ensuring minimal disruption to business operations.</p>
<p>Support daily operational activities, including batch processing, job scheduling, and end-of-day (EOD) banking activities.</p>
<p>Perform application deployment and configuration activities across development, testing, and production environments under established change procedures.</p>
<p>Coordinate with development, infrastructure, database, and vendor teams to investigate and resolve application issues.</p>
<p>Maintain accurate incident records, root cause analysis documentation, and support knowledge base articles.</p>
<p>Participate in incident, problem, and change management processes in accordance with ITIL best practices.</p>
<p>Assist in user acceptance testing (UAT), system upgrades, patch deployments, and release activities.</p>
<p>Monitor logs and system alerts, escalating critical issues to senior support staff and management as required.</p>
<p>Ensure compliance with internal policies, security standards, audit requirements, and banking regulations.</p>
<p>Support business users by providing guidance, training, and timely communication during incidents and service disruptions.</p>
<p>Contribute to continuous improvement initiatives to enhance application stability, support processes, and service quality.</p>
<h4>Requirements</h4>
<p><strong>Bachelor's degree</strong> in Computer Science, Information Technology, or a related field.</p>
<p><strong>2-5 years</strong> of experience in application support, IT operations, or a similar technical support role.</p>
<p>Experience supporting banking, financial services, or enterprise applications is preferred.</p>
<p>Familiarity with service management frameworks such as ITIL.</p></p><p></p>