Interior Designer Jobs in Jordan

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Trainer Location Irbid Jordan Job Type Full Time Onsite Language Requirement Arabic and English About the Role We are looking for a passionate and experienced AI Trainer to join our team in Irbid Jordan. The ideal candidate will have strong expertise in Artificial Intelligence Data Science and Machine Learning along with excellent teaching and communication skills. The role involves delivering practical and industry relevant training programs to adult learners and helping develop the next generation of AI professionals. Key Responsibilities Deliver training sessions on Artificial Intelligence Machine Learning Deep Learning Data Science Python Computer Vision Natural Language Processing and Large Language Models Develop training materials lesson plans assignments projects and assessments Customize training content based on learner skill levels and requirements Guide participants through hands on projects capstone assignments and real world AI use cases Provide technical feedback on coding assignments and project outcomes Monitor trainee progress and prepare performance reports Stay updated with the latest AI technologies tools and industry trends Collaborate with internal teams to improve training content and delivery Support learners in building AI portfolios GitHub repositories and practical projects Conduct mentoring sessions office hours and one on one coaching when required Requirements Bachelor degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field Minimum 4 years of experience in AI training teaching or technical instruction Strong practical knowledge of Python Pandas NumPy Scikit Learn TensorFlow and PyTorch Hands on experience with Machine Learning Deep Learning Natural Language Processing Large Language Models Computer Vision OpenCV Vision Language Models Data Science Data Analysis and MLOps fundamentals Excellent presentation classroom management and communication skills Ability to explain complex technical concepts to non technical audiences Experience training adult learners or corporate professionals is preferred Fluency in Arabic and English is required Ability to work onsite full time in Irbid Jordan<strong> </strong></p><br><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Skills Experience with Azure AI AWS SageMaker or Google Cloud AI Knowledge of Jupyter Notebook Google Colab Git and GitHub Experience in curriculum design and instructional content development Understanding of AI ethics responsible AI and AI governance Experience delivering bilingual training in Arabic and English Relevant certifications such as NVIDIA Deep Learning Institute Google Professional Machine Learning Engineer IBM Data Science Professional Certificate Microsoft Azure AI Engineer AI 102 or DeepLearning AI specializations are an advantage Candidates with published research technical articles or open source AI contributions will be preferred</p><p></p></section>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Specialist Security Engineer Fortinet Solutions is responsible for designing, implementing, optimizing, and supporting advanced Fortinet-based cybersecurity solutions across enterprise, service provider, and data center environments. The role serves as a technical subject matter expert for Fortinet technologies, providing architecture design, deployment leadership, troubleshooting, migration support, and operational excellence across customer environments. Working within ZainTECH s Cybersecurity Practice, the Specialist Security Engineer will lead the delivery of secure, scalable, and resilient security solutions covering network security, SD-WAN, SASE, Zero Trust architectures, privileged access management, web application security, and security monitoring platforms. The role collaborates closely with customers, presales teams, project delivery teams, and technology partners to ensure successful implementation and ongoing optimization of Fortinet security solutions.</p><p>Responsibilities:</p><ul><li><strong>Security Architecture &amp; Solution Design</strong><ul><li>Design and implement enterprise and data center security architectures utilizing Fortinet technologies.</li><li>Develop secure, scalable, and highly available security solutions aligned with customer business and security requirements.</li><li>Design and architect, High Availability (HA) deployments, Advanced SD-WAN solutions, Secure Access Service Edge (SASE) architectures, Zero Trust Network Access (ZTNA) environments, Network segmentation and micro-segmentation strategies</li><li>Conduct security assessments and provide recommendations aligned with cybersecurity best practices and industry standards.</li><li>Develop High-Level Designs (HLDs), Low-Level Designs (LLDs), Migration and implementation plans, technical architecture documentation</li></ul></li><li><strong>Fortinet Solution Deployment &amp; Integration</strong><ul><li>Lead the installation, configuration, migration, and optimization of Fortinet solutions including: FortiGate FortiManager FortiAnalyzer FortiSwitch FortiAP FortiWeb FortiADC FortiPAM FortiProxy FortiDLP FortiSIEM FortiSASE FortiAppSec</li><li>Integrate Fortinet platforms with: Active Directory LDAP RADIUS TACACS+ Identity Providers (IdPs) Multi-Factor Authentication (MFA) platforms SIEM and Syslog solutions AWS and Microsoft Azure environments Third-party security solutions</li><li>Ensure successful migration and interoperability between legacy and modern security infrastructures.</li></ul></li><li><strong>Security Operations &amp; Technical Support</strong><ul><li>Provide advanced L2, L3, and escalation support for enterprise customers.</li><li>Troubleshoot complex: Security incidents Firewall issues Routing and connectivity problems VPN-related issues Authentication and access control challenges</li><li>Conduct root cause analysis and provide recommendations to prevent recurrence.</li><li>Monitor solution performance and ensure high service availability.</li><li>Maintain configuration backups, disaster recovery plans, and operational documentation.</li><li>Support customers during critical incidents and major service disruptions.</li></ul></li><li><strong>Network Security &amp; Advanced Security Technologies</strong><ul><li>Configure, manage, and optimize: Security Policies Application Control Intrusion Prevention Systems (IPS) Web Filtering Anti-Malware Services Data Loss Prevention (DLP) Proxy Services Privileged Access Management (PAM) Security Event Monitoring and Correlation</li><li>Deploy and support: Psec VPN SSL VPN Remote Internet Access (RIA) Direct Internet Access (DIA) Site-to-Site VPNs Hub-and-Spoke VPN Architectures</li><li>Implement Zero Trust and SASE security models to enhance customer security posture.</li></ul></li><li><strong>Project Delivery &amp; Customer Engagement</strong><ul><li>Lead implementation, migration, upgrade, and optimization projects.</li><li>Coordinate activities with Customers,Vendors, Project Managers, internal delivery teams</li><li>Produce technical implementation documentation, Acceptance reports, As-built documentation, Operational handover documentation</li><li>Conduct customer knowledge transfer sessions and technical workshops.</li><li>Support presales teams during solution presentations, technical discussions, and proof-of-concept activities.</li></ul></li><li><strong>Continuous Improvement &amp; Technical Leadership</strong><ul><li>Stay current with emerging cybersecurity threats, Fortinet product developments, and industry best practices.</li><li>Participate in technical enablement and knowledge-sharing initiatives.</li><li>Support the development of technical standards, implementation methodologies, and operational procedures.</li><li>Contribute to service improvement initiatives across the Cybersecurity Practice.</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Engineering, Computer Science, Information Security, Information Technology, or a related field, with a minimum of 5 years of experience in cybersecurity and network security engineering.</li><li>Proven hands-on expertise in designing, implementing, and supporting Fortinet security solutions, including FortiGate, FortiManager, FortiAnalyzer, SD-WAN, SASE, FortiWeb, FortiADC, FortiPAM, FortiProxy, FortiDLP, and FortiSIEM.</li><li>Strong knowledge of network security architecture and infrastructure design, with expertise in TCP/IP, Routing &amp; Switching, BGP, OSPF, VLANs, NAT, Traffic Shaping, and Policy-Based Routing.</li><li>Advanced troubleshooting, analytical, and problem-solving skills, with experience supporting complex enterprise, managed services, or service provider environments.</li><li>Strong customer-facing communication, presentation, consulting, and technical advisory skills, with the ability to engage effectively with stakeholders across all levels.</li><li>Demonstrated technical leadership, mentoring capabilities, and experience managing project delivery while coordinating with multiple stakeholders.</li><li>Solid understanding of security operations, incident response processes, and managed security services, including exposure to Zero Trust and cloud security architectures.</li><li>Experience working with virtualization and cloud platforms such as VMware ESXi, Hyper-V, AWS, and Microsoft Azure, preferably within large-scale enterprise or multi-site environments.</li><li>Strong documentation, reporting, and operational governance skills, with the ability to perform effectively in high-pressure environments and participate in critical incident response activities when required.</li><li>Relevant certifications such as FCP, FCSS, NSE 4/5/6/7, CCNA, CCNP Security, FortiSASE, and AWS/Azure Security certifications, along with a commitment to continuous learning and professional development.</li></ul><p></p></section>

<p>The Senior Java Developer is responsible for developing, enhancing, and maintaining CR2 s BankWorld product. This role involves designing and implementing high-quality software solutions, integrating AI/LLM capabilities where appropriate, contributing to new business requirements, and maintaining existing functionality within a collaborative Scrum team environment. This role is based in either our Amman or Bangalore office and follows a hybrid working model, with employees expected to work on-site three days per week.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Design and implementation:</strong> Design and implement new features, ensuring alignment with business requirements, technical specifications, security practices, and project timelines.</li><li><strong>Agile development and team collaboration:</strong> Actively participate in Agile Scrum ceremonies and work closely with team members to achieve project goals and deliverables.</li><li><strong>Code quality and review:</strong> Ensure adherence to software design best practices, participate in design and code reviews, and proactively suggest improvements to processes and practices.</li><li><strong>Product security:</strong> Follow sound security engineering practices to protect the integrity and security of the product.</li><li><strong>Support and troubleshooting:</strong> Assist in maintaining and supporting new and existing features by working with the support team to diagnose and resolve issues promptly.</li><li><strong>Innovation and continuous learning:</strong> Stay up to date with emerging technologies and industry trends, and integrate new solutions to enhance user experience and product functionality.</li><li><strong>Out-of-hours support:</strong> Provide occasional out-of-hours support for critical product issues when required.</li><li><strong>Additional tasks:</strong> Perform any other related tasks assigned by the line manager.</li><li><strong>Generative AI for development :</strong> Leverage AI-assisted coding tools, such as GitHub Copilot, Junie, Claude AI and any other tools identified by our architecture team to accelerate development while maintaining code quality standards; document and review AI-generated solutions for security and correctness.</li><li><strong>AI-powered testing and automation :</strong> Explore and implement AI-driven testing frameworks and agents for automated QA, regression testing, and edge-case discovery in payment processing pipelines.</li></ul><p><strong>Critical Competencies</strong></p><ul><li><strong>Technical expertise:</strong> Proficient in Java programming with strong object-oriented design and programming skills.</li><li><strong>Agile methodologies:</strong> Experienced in Agile software development methodologies such as Scrum, Kanban, or similar frameworks.</li><li><strong>Version control:</strong> Proficient in Git for source code management.</li><li><strong>Communication skills:</strong> Excellent written and verbal communication skills in English, with the ability to present technical ideas clearly and precisely.</li><li><strong>Attention to detail:</strong> Strong attention to detail with a high level of accuracy and a passion for continuous learning.</li><li><strong>Problem-solving:</strong> Strong problem-solving abilities, with a focus on identifying challenges, proposing solutions, and contributing to the overall success of the company.</li><li><strong>Team collaboration:</strong> A strong team player who is cooperative, flexible, and committed to working effectively with others to achieve shared goals.</li><li><strong>Customer focus:</strong> Strong customer orientation, with a focus on delivering high-quality solutions that meet client needs.</li></ul><p><strong>Qualifications &amp; Experience</strong></p><ul><li><strong>Educational background:</strong> Honours degree or diploma in Computer Science, Software Engineering, or a related field.</li><li><strong>Java expertise:</strong> 5+ years of proven experience in Java programming.</li><li><strong>Desirable skills:</strong> Experience with Java frameworks such as Spring Framework, Spring MVC, Spring Boot, Spring Cloud, JPA, Spring Data, and Kafka; microservices architectures; RESTful APIs; relational databases, including SQL for Oracle; cross-platform development; multi-threading; and familiarity with the banking or financial services sector.</li></ul><p><strong>Success Metrics</strong></p><ul><li><strong>Feature delivery:</strong> Timely and accurate delivery of new features and enhancements in line with Scrum goals, project timelines, and business requirements, including story points delivered within the sprint.</li><li><strong>Code quality:</strong> High-quality, reliable code with minimal defects, adherence to software unit testing best practices, appropriate code coverage, and strong product security.</li><li><strong>Team contribution:</strong> Active participation and collaboration within the Scrum team, contributing to team goals and project milestones.</li><li><strong>Customer satisfaction:</strong> Positive feedback from internal and external stakeholders regarding the functionality, stability, and security of the product, with a target of zero implementation bugs in customer-reported issues.</li><li><strong>Continuous improvement:</strong> Demonstrated commitment to staying updated with industry trends and incorporating new knowledge into daily work, including completion of annual training hours.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Qualifications &amp; Experience</strong></p><ul><li><strong>Educational background:</strong> Honours degree or diploma in Computer Science, Software Engineering, or a related field.</li><li><strong>Java expertise:</strong> 5+ years of proven experience in Java programming.</li><li><strong>Desirable skills:</strong> Experience with Java frameworks such as Spring Framework, Spring MVC, Spring Boot, Spring Cloud, JPA, Spring Data, and Kafka; microservices architectures; RESTful APIs; relational databases, including SQL for Oracle; cross-platform development; multi-threading; and familiarity with the banking or financial services sector.</li></ul><p><strong>Critical Competencies</strong></p><ul><li><strong>Technical expertise:</strong> Proficient in Java programming with strong object-oriented design and programming skills.</li><li><strong>Agile methodologies:</strong> Experienced in Agile software development methodologies such as Scrum, Kanban, or similar frameworks.</li><li><strong>Version control:</strong> Proficient in Git for source code management.</li><li><strong>Communication skills:</strong> Excellent written and verbal communication skills in English, with the ability to present technical ideas clearly and precisely.</li><li><strong>Attention to detail:</strong> Strong attention to detail with a high level of accuracy and a passion for continuous learning.</li><li><strong>Problem-solving:</strong> Strong problem-solving abilities, with a focus on identifying challenges, proposing solutions, and contributing to the overall success of the company.</li><li><strong>Team collaboration:</strong> A strong team player who is cooperative, flexible, and committed to working effectively with others to achieve shared goals.</li><li><strong>Customer focus:</strong> Strong customer orientation, with a focus on delivering high-quality solutions that meet client needs.</li></ul>

<p><h4>About Four Seasons:</h4> <p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.</p> <p>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p> <h4>About the location:</h4> <p>Since opening in 1928, our legendary property has been the preferred address for celebrities, royalty and the international elite — and it’s easy to see why. Located at the intersection of Wilshire Boulevard and Rodeo Drive, we put you in the enviable heart of Beverly Hills, with designer shopping, fine dining and postcard-worthy views at our doorstep.</p> <p><strong>Full time</strong><br> Beverly Wilshire a Four Seasons Hotel<br> Beverly Wilshire, Beverly Hills, a Four Seasons Hotel</p> <p>The Beverly Wilshire, Beverly Hills, a Four Seasons Hotel is looking for a Dry Cleaner/Spotter/Presser who shares a passion for excellence and who infuses enthusiasm into everything they do. This position has the opportunity to shape guest experience by providing exceptional service in support of our world-renowned hotels. The Dry Cleaner reports to the Laundry Manager. Work authorization for the location is required.</p> <h4>Join our team</h4> <p>In captivating Beverly Hills with Rodeo Drive boutiques glittering at the doorstep, this legendary Los Angeles landmark buzzes with renewed vitality. Offering tradition and trend, peaceful privacy and lively sophistication, Beverly Wilshire wants you to be part of our talented team of individuals who provide thoughtful Four Seasons care to warm every moment.</p> <h4>Responsibilities:</h4> <ul> <li>Sorts, processes and finishes guest clothing and employee uniforms to exacting standards.</li> <li>Tags guest items, sorts for appropriate action (washing, dry cleaning, pressing or repair) and then processes the clothing on the correct equipment using the appropriate chemicals and temperature. Once processed, folds or hangs the clothing as desired.</li> <li>Sorts employee uniforms for appropriate action (washing, dry cleaning, pressing or repair) and then processes the clothing on the correct equipment using the appropriate chemicals and temperature. Once processed, hangs and transports clean uniforms to housekeeping.</li> <li>Operates and maintains washer, dryer, dry cleaning machine, steam tunnel, presser and iron. Reports any problems or deficiencies to manager.</li> <li>Complies with Four Seasons’ Category One and Category Two Work Rules and Standards of Conduct as set forth in EmPact.</li> <li>Works harmoniously and professionally with co-workers and supervisors.</li> </ul> <h4>What to expect: You will</h4> <ul> <li>Be part of a cohesive team with opportunities to build a successful career with global potential</li> <li>Have access to a robust benefit plan</li> <li>Have the opportunity to engage in diverse and challenging work</li> <li>Derive a sense of pride in work well done</li> <li>Be recognized for excellence</li> <li>First 9 months: $25.52 (80% of contract rate)</li> <li>Next 9 months: $28.71 (90% of contract rate)</li> <li>After 18 months: $31.90 (Full contract rate)</li> </ul> <p>Four Seasons is an equal opportunity, affirmative action employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.</p></p><p></p>

<p>We are looking for a Senior Backend Engineer who is passionate about building great products for our customers. You need to be dynamic, collaborative, and curious as we build new experiences, improve existing products, and develop distributed systems powering the Middle East largest travel e-commerce websites.</p><p><b>Responsibilities</b>:</p><ul><li>Design Technical/Integration Architectures, including development, runtime, and operations architectures</li><li>Define scalable solutions using Service Oriented Architecture (SOA) patterns, and microservices automating business process models and cloud-based services.</li><li>Design message and event-driven architectures.</li><li>Lead implementation of large, complex solutions from establishing project requirements and goals to solution "go-live"</li><li>Provide Technical design across multiple projects and clients</li><li>Provide Technology Consulting services covering areas such as Architectural Strategy, Architectural review/audit and Architecture road-map.</li><li>Manages the risks, issues, and dependencies of the scoped solution</li><li>Responsible for roadmaps for integration technologies (current and future).</li><li>Introducing Agile processes to the existing team</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Computer Science, Engineering or a related subject.</p><p>4+ years of intensive Java backend development and solution architecture. (Java, Spring Boot, API Security, Redis, RabbitMQ, Kafka, Sql and NoSql databases, Docker, Kubernetes, AWS)</p><p>Knowledge in NodeJS is nice to have</p><p>Should be working on Java 8 or Java 11</p><p>Strong experience in hands-on platform delivery and architecture design</p><p>Full understanding of Cloud service, AWS and DevOps tools and CI/CD process</p><p>Strong experience with the full life cycle of Agile software development processes, approaches, delivery and methods with scaling to the Enterprise and release management processes.</p><p>Thought leadership and Technical knowledge combined with delivery experience in some of these areas: Legacy platform migration RESTful APIs and API gateways Microservices based Architecture Cloud deployment (AWS mainly)</p><p>Ability to influence and guide senior stakeholders on technical solutions</p><p>Excellent documentation, presentation and communication skills</p>

<p><br></p><p>What you will do as Autocad/Draftsman As a Draftsman / AutoCAD Draftsman Engineer, Responsible for preparing, coordinating, and maintaining architectural, structural, civil, and earthworks drawings throughout all project phases, ensuring compliance with company standards, client requirements, and regulatory authority requirements</p><p>Project Context Haskoning is engaged in multiple projects at the Arab Potash Corporation (APC), which involves critical infrastructure works in the Dead Sea Area. The Draftsman will be supporting the design team, coordinating with other disciplines, and ensuring consistency across all project phases.</p><p>Key Responsibilities</p><ul><li>Prepare architectural, structural, and earthworks drawings based on approved engineering designs.</li><li>Develop drawings from conceptual design through detailed design and construction stages.</li><li>Prepare submission packages and support approval processes.</li><li>Coordinate multidisciplinary drawings and resolve design clashes.</li><li>Review contractors shop drawings and technical submissions.</li><li>Support and provide input to Quantity take-offs.</li><li>Maintain drawing registers, revision control, and related document management records.</li><li>Ensure compliance with project specifications, standards, and quality requirements.</li></ul><p>What you bring as a Autocad/Draftsman Specific discipline requirements Technical Design</p><ul><li>Advanced proficiency in AutoCAD and/or Civil3D.</li><li>Strong knowledge of engineering drafting standards and construction documentation.</li><li>Experience coordinating architectural, structural, and civil drawings.</li></ul><p>Working Hours: Six days per week (Friday off), with compensation aligned to workload and responsibilities.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in civil engineering, Architecture, Drafting Technology, or related discipline.</li><li>Minimum 5 years of experience in industrial or infrastructure projects</li><li>Proven experience working on AutoCAD.</li><li>Strong communication and stakeholder engagement skills.</li><li>Excellent attention to detail and commitment to quality.</li><li>Effective teamwork and multidisciplinary coordination abilities.</li><li>Strong organizational, planning, and time management skills.</li><li>Problem-solving mindset and adaptability in a fast-paced environment.</li><li>Ability to work independently and under project schedule pressures.</li><li>Experience in EPC or consultant environments is an advantage</li><li>Attention to detail and ability to manage multiple tasks</li><li>Excellent skills with MS Office suite</li><li>Good communication skills and a collaborative approach to working with drafters and cultural teams</li><li>Professionally skilled in English</li><li>Start Date: As soon as possible</li></ul>

<p>The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p><b>Main Activities and Responsibilities:</b></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p>Required Skills &amp; Experience:</p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li><br></li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p><b><br></b></p><p><b>Purpose of Role/Summary:</b> The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p>Main Activities and Responsibilities:</p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p>Required Skills &amp; Experience:</p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b><br> About the Role </b><p>We are looking for an experienced Engineering Manager ERP &amp; CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations. In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.</p> <p>This is both a technical and people leadership role. You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes. The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.</p> <p> </p> <strong>Key Responsibilities</strong> <ul> <li>Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.</li> <li>Own the strategy, roadmap, and delivery of Syarah s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.</li> <li>Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.</li> <li>Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.</li> <li>Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.</li> <li>Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.</li> <li>Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.</li> <li>Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.</li> <li>Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.</li> <li>Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.</li> <li>Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.</li> <li>Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.</li> <li>Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.</li> <li>Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.</li> </ul> <p> </p> <p> <strong>What We re Looking For</strong> </p> <ul> <li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering.</li> <li>against company objectives.</li> <li>Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.</li> <li>Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.</li> <li>Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.</li> <li>Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.</li> </ul> <p> </p> <p> <strong>Preferred Experience</strong> </p> <ul> <li>Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle</li> <li>Experience with sales lead generation and workflow automation within CRM platforms</li> <li>Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus</li> </ul> <p> </p> <p> <strong>Tech Stack</strong> </p> <ul> <li>Languages &amp; Frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li> <li>ERP &amp; CRM: ERPNext, CRM platforms, custom business applications</li> <li>Databases &amp; Caching: MongoDB / MySQL, Redis</li> <li>Integration: REST APIs, webhooks, message queues</li> <li>DevOps &amp; Deployment: Docker, Git, CI/CD</li> <li>Cloud &amp; Infrastructure: AWS, GCP</li> <li>Ways of Working: Agile / Scrum, OKRs, code review, performance management</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> </p> <ul> <li>8+ years of software engineering experience, including 3+ years in an engineering management role</li> <li>Strong hands-on experience with Python and PHP development</li> <li>Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.)</li> <li>Solid understanding of CRM systems, business process automation, and enterprise integrations</li> <li>Proven experience leading engineering teams, setting OKRs, and managing performance and career development</li> <li>Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices</li> <li>Strong stakeholder management and communication skills</li> <li>Experience in e-commerce, fintech, or high-growth technology environments is a plus</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Syarah Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles.<br> Through technology, data, and innovative financial solutions, Syarah delivers a seamless customer experience while building scalable systems that support rapid business growth across sales, operations, finance, and customer engagement.<br> About the Role We are looking for an experienced Engineering Manager – ERP &amp; CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations.<br> In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.<br> This is both a technical and people leadership role.<br> You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes.<br> The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.<br> Key Responsibilities Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.<br> Own the strategy, roadmap, and delivery of Syarah’s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.<br> Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.<br> Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.<br> Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.<br> Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.<br> Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.<br> Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.<br> Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.<br> Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.<br> Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.<br> Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.<br> Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.<br> Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.<br> What We’re Looking For Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering.<br> against company objectives.<br> Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.<br> Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.<br> Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.<br> Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.<br> Preferred Experience Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle Experience with sales lead generation and workflow automation within CRM platforms Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus Tech Stack Languages &amp; Frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL ERP &amp; CRM: ERPNext, CRM platforms, custom business applications Databases &amp; Caching: MongoDB / MySQL, Redis Integration: REST APIs, webhooks, message queues DevOps &amp; Deployment: Docker, Git, CI/CD Cloud &amp; Infrastructure: AWS, GCP Ways of Working: Agile / Scrum, OKRs, code review, performance management 8+ years of software engineering experience, including 3+ years in an engineering management role Strong hands-on experience with Python and PHP development Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.<br>) Solid understanding of CRM systems, business process automation, and enterprise integrations Proven experience leading engineering teams, setting OKRs, and managing performance and career development Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices Strong stakeholder management and communication skills Experience in e-commerce, fintech, or high-growth technology environments is a plus</span> </div>

<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>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Purpose of the Job <br></span><p>As a key member of DevOps team, the Senior Analyst, Change and Release Management will play a critical role focuses on streamlining software development processes by integrating development and operations, implementing automation tools, and fostering collaboration. Responsibilities include infrastructure management, automation of deployment pipelines, tool selection and integration, and ensuring efficient, reliable, and secure delivery of software products throughout the development lifecycle.</p><br><br> <p>Additionally, the incumbent will optimize resource utilization and ultimately, the role contributes to quicker release cycles, reduced downtime, improved system performance, and increased innovation, driving overall business agility and success.</p><br><br>Job Description <br><p><strong>Customer:</strong></p><br><br> <p>•Ensure continuous delivery of new features and updates to improve product offerings.</p><br><br> <p>•Quickly respond to and resolve production issues to minimize customer impact.</p><br><br> <p>•Collect and analyze customer feedback to guide development and operations improvements.</p><br><br> <p>•Maintain and improve system reliability, uptime, and overall performance.</p><br><br> <p><strong>People:</strong></p><br><br> <p>•Foster a collaborative culture between development, product team, and other cross-functional teams.</p><br><br> <p>•Facilitate regular communication and collaboration through meetings, tools, and processes.</p><br><br> <p>•Provide training and resources to team members to improve their skills in DevOps practices and tools.</p><br><br> <p>•Encourage continuous learning and professional development within the team.</p><br><br> <p>•Promote best practices and standards across the team.</p><br><br> <p><strong>Operations:</strong></p><br><br> <p>•Develop and maintain CI/CD pipelines to automate the build, test, and deployment processes.</p><br><br> <p>•Automate repetitive tasks to increase efficiency and reduce human error.</p><br><br> <p>•Manage cloud and on-premises infrastructure to support development and production environments.</p><br><br> <p>•Ensure infrastructure is scalable, secure, and cost-effective.</p><br><br> <p>•Implement incident management processes to quickly address and resolve production issues.</p><br><br> <p>•Conduct post-incident reviews and implement improvements to prevent future occurrences.</p><br><br> <p>•Manage and maintain configuration settings for applications and infrastructure.</p><br><br> <p>•Use configuration management tools to ensure consistency across environments.</p><br><br> <p>•Participate in strategic planning and roadmap development for DevOps initiatives.</p><br><br> <p>•Lead the planning, coordination, and execution of software releases across multiple environments, ensuring timely and high-quality delivery.</p><br><br> <p>•Design, build, and maintain scalable infrastructure.</p><br><br> <p><strong>Financial Results:</strong></p><br><br> <p>•Monitor and optimize cloud and infrastructure costs to ensure efficient use of resources.</p><br><br> <p>•Implement cost-saving measures without compromising on performance and reliability.</p><br><br> <p>•Allocate resources effectively to meet operational and project needs.</p><br><br> <p>•Balance resource allocation to support both ongoing operations and new initiatives.</p><br><br> <p>•Assist in planning and managing budgets for DevOps tools, infrastructure, and team resources</p><br><br>Job Requirements - Experience and Education <br><ul> <li>Bachelor’s degree in computer science or engineering.</li> <li>Candidates working for this position should possess at least 3 years of work experience as a DevOps Engineer, release management.</li> <li>Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.</li> <li>Strong ability to work with remote teams.</li> <li>Candidates must possess experience in using Linux, Windows, CI/CD, Azure DevOps, GitHub, AWS Code Deploy.</li> <li>The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Shell scripting and Git.&nbsp;</li> <li>Candidates should demonstrate knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, and others.</li> <li>Candidates must possess in configuring and automating the monitoring tools. Examples: Elastic APM, DebugDiag, etc</li> </ul><br>Leadership Behaviors <br>Building Outstanding Teams<br>Setting a clear direction<br>Simplification<br>Collaborate &amp; break silos<br>Execution &amp; Accountability<br>Growth mindset<br>Innovation<br>Inclusion<br>External focus<br>Skills <br> </div>

<p><h4>About the company</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. We work with organizations to improve how people, processes, and technology come together, with a focus on creating practical solutions that support day-to-day business performance and long-term transformation.</p> <h4>Role overview</h4> <p>As a UI/UX expert, you will help shape intuitive digital experiences across internal portals and mobile applications. This role is central to improving how users interact with business systems, translating user needs and organizational goals into thoughtful, effective design solutions while working closely with technical and business stakeholders.</p> <h4>Responsibilities</h4> <li>Design and optimize user interfaces for internal portals and mobile applications to enhance user experience.</li> <li>Conduct user research and usability testing to inform design decisions.</li> <li>Collaborate with IT, HR, and business units to align design work with organizational goals.</li> <li>Create wireframes, prototypes, and high-fidelity mockups.</li> <li>Ensure consistency in branding, accessibility, and usability across platforms.</li> <li>Analyze user interaction data to identify improvement opportunities.</li> <li>Stay current with UI/UX trends, tools, and best practices.</li> <li>Provide guidance and support during the implementation phase.</li> <h4>Requirements</h4> <li>Bachelor’s degree in Graphic Design, Human-Computer Interaction, Computer Science, or a related field.</li> <li>Minimum 6 years of UI/UX design experience for both web and mobile applications.</li> <li>Proficiency with Figma, Adobe XD, and Sketch.</li> <li>Knowledge of accessibility and usability standards.</li> <li>Eligible to work in Jordan.</li> <li>Experience in internal enterprise systems is a plus.</li> <li>A UI/UX certification is a plus.</li></p><p></p>

<p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI- driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>3+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And Scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API(Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services(S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul>