وظائف لخريجي كلية العلوم في الأردن

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities Lead the design, development, testing, and deployment of software applications.<br> Provide technical leadership and mentorship to the development team.<br> Review code to ensure quality, maintainability, security, and adherence to coding standards.<br> Collaborate with Product Managers, Architects, QA, and stakeholders to define technical solutions.<br> Break down business requirements into technical tasks and guide implementation.<br> Drive Agile development practices, sprint planning, and technical estimations.<br> Troubleshoot complex technical issues and provide effective solutions.<br> Ensure application performance, scalability, reliability, and security.<br> Promote DevOps, CI/CD, automated testing, and software engineering best practices.<br> Stay updated with emerging technologies and recommend process and technology improvements.<br> Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.<br> 7+ years of software development experience, including at least 2 years in a technical leadership role.<br> Strong proficiency in one or more programming languages such as Java, C#, Python, JavaScript/TypeScript, or Go.<br> Experience with modern frameworks and cloud platforms (AWS, Azure, or Google Cloud).<br> Strong understanding of RESTful APIs, microservices architecture, databases (SQL/NoSQL), and system design.<br> Experience with Git, CI/CD pipelines, Docker, Kubernetes, and Agile/Scrum methodologies.<br> Excellent analytical, problem-solving, communication, and stakeholder management skills.<br> Preferred Qualifications Experience leading distributed or remote engineering teams.<br> Cloud certifications (AWS, Azure, or Google Cloud).<br> Knowledge of DevSecOps, Infrastructure as Code (Terraform), and container orchestration.<br> Experience with monitoring and observability tools.<br> Arabic speaker is mandatory</span> </div>

<p>We are seeking an Applications Support Manager to lead the support and operations of core banking and enterprise applications. The role ensures high system availability, efficient incident resolution, and seamless coordination across business, development teams, and external vendors in a regulated banking environment. Key Responsibilities: Lead and manage the applications support team, ensuring adherence to SLAs, KPIs, and regulatory requirements. Oversee application deployment, configuration, and release management across environments. Provide and supervise L2 support, ensuring timely troubleshooting, root cause analysis, and escalation when needed. Manage batch processing and ensure successful execution of end-of-day (EOD) and critical banking cycles. Oversee containerized environments (e.g., Docker/Kubernetes), ensuring stability, scalability, and performance. Act as the main point of contact for business stakeholders on incidents, service requests, and system issues. Coordinate with in-house development teams and vendors for issue resolution, enhancements, and releases. Drive incident, problem, and change management aligned with ITIL practices. Ensure proper documentation, monitoring, and continuous improvement of support processes.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, IT, or related field. 10+ years of experience in application support, with proven team leadership experience. Strong background in banking systems (e.g., core banking, payments, digital channels). Hands-on experience in : Application deployment and environment management L2/L3 support operations Batch/job scheduling systems Container platforms (Docker, Kubernetes) Experience working within regulated environments with high availability requirements.</p>

<p><h4>Description</h4> <p>We are seeking an applications support manager to lead the support and operations of core banking and enterprise applications. The role ensures high system availability, efficient incident resolution, and seamless coordination across business, development teams, and external vendors in a regulated banking environment.</p> <h4>Key Responsibilities:</h4> <ul> <li>Lead and manage the applications support team, ensuring adherence to SLAs, KPIs, and regulatory requirements.</li> <li>Oversee application deployment, configuration, and release management across environments.</li> <li>Provide and supervise L2 support, ensuring timely troubleshooting, root cause analysis, and escalation when needed.</li> <li>Manage batch processing and ensure successful execution of end-of-day (EOD) and critical banking cycles.</li> <li>Oversee containerized environments (e.g., Docker/Kubernetes), ensuring stability, scalability, and performance.</li> <li>Act as the main point of contact for business stakeholders on incidents, service requests, and system issues.</li> <li>Coordinate with in-house development teams and vendors for issue resolution, enhancements, and releases.</li> <li>Drive incident, problem, and change management aligned with ITIL practices.</li> <li>Ensure proper documentation, monitoring, and continuous improvement of support processes.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in computer science, IT, or related field.</li> <li>10+ years of experience in application support, with proven team leadership experience.</li> <li>Strong background in banking systems (e.g., core banking, payments, digital channels).</li> <li>Hands-on experience in: <ul> <li>Application deployment and environment management</li> <li>L2/L3 support operations</li> <li>Batch/job scheduling systems</li> <li>Container platforms (Docker, Kubernetes)</li> </ul> </li> <li>Experience working within regulated environments with high availability requirements.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking an applications support manager to lead the support and operations of core banking and enterprise applications. The role ensures high system availability, efficient incident resolution, and seamless coordination across business, development teams, and external vendors in a regulated banking environment.</p> <h4>Key Responsibilities:</h4> <ul> <li>Lead and manage the applications support team, ensuring adherence to SLAs, KPIs, and regulatory requirements.</li> <li>Oversee application deployment, configuration, and release management across environments.</li> <li>Provide and supervise L2 support, ensuring timely troubleshooting, root cause analysis, and escalation when needed.</li> <li>Manage batch processing and ensure successful execution of end-of-day (EOD) and critical banking cycles.</li> <li>Oversee containerized environments (e.g., Docker/Kubernetes), ensuring stability, scalability, and performance.</li> <li>Act as the main point of contact for business stakeholders on incidents, service requests, and system issues.</li> <li>Coordinate with in-house development teams and vendors for issue resolution, enhancements, and releases.</li> <li>Drive incident, problem, and change management aligned with ITIL practices.</li> <li>Ensure proper documentation, monitoring, and continuous improvement of support processes.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in computer science, IT, or related field.</li> <li>10+ years of experience in application support, with proven team leadership experience.</li> <li>Strong background in banking systems (e.g., core banking, payments, digital channels).</li> <li>Hands-on experience in: <ul> <li>Application deployment and environment management</li> <li>L2/L3 support operations</li> <li>Batch/job scheduling systems</li> <li>Container platforms (Docker, Kubernetes)</li> </ul> </li> <li>Experience working within regulated environments with high availability requirements.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <b>About the Job </b> <br> <p > At Aspire, we're looking for a passionate and experienced <span>Data Engineer <span> <span> to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices. <span> <br> <span> <span>What You'll Do <span> <span> <br> </span></span></span></span></span></span></span></span></p><ul > <li > <p> <span> <span>Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Build and optimize batch and real-time data processing workflows. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Design and implement robust data models, data warehouses, and data lakes. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Ensure data quality, consistency, integrity, and security across the organization's data platforms. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Participate in designing and evolving the organization's data architecture and engineering standards. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices. <span> <br> </span></span></span></p></li><li > <p > Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability. <span > <br> <span> <span>What You'll Need <span> <span> <br> </span></span></span></span></span></p><ul > <li > <p > Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. <br> </p></li><li > <p> <span> <span>5+ years of experience in Data Engineering or a similar role. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong programming skills in Python, Java, or Scala. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong understanding of ETL/ELT processes, data modeling, and data integration best practices. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience working with large-scale distributed data systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience using Git or other version control systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong analytical, problem-solving, and communication skills. <br> </span></span></p></li><li > <p> <span> <span>Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with Docker and Kubernetes <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Experience implementing CI/CD pipelines for data engineering workflows <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Understanding of data governance, security, privacy, and compliance practices <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p > <span> <span>Experience working in Agile or Scrum environments.<br> </span></span></p><div ><br></div></li></ul></li></ul></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a seasoned developer to design/build massive scale, distributed computing solutions. You will be responsible for driving the team’s technical direction, strategizing and shaping our long-term vision and architecture. You will own major deliverables end-to-end, drive roadmaps, and provide technical leadership to the engineering team. If you're excited by cloud computing, designing highly scalable, fault tolerant systems, and want to be challenged by the toughest computer science problems, then join us to build the next generation distributed systems solving big data problems.<br>You should be someone who wants to conceive and design highly scalable, robust software, and wants to see their software thrive in the face of traffic from huge cloud computing services.<br>The candidate should have strong distributed systems and web services design and implementation experience, as well as experience working on high availability production systems. Responsible for the overall development life cycle of the solution and manage complex projects with significant bottom line impact. <br>Key job responsibilities<br>- Work with product managers in developing a strategy and road map to provide compelling capabilities for our customers.<br>- Work closely with other engineers to develop the best technical design and approach for new product development.<br>- Instill best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules.<br>- Project management - prioritization, planning of projects and features, Stakeholder management and tracking of external commitments.<br>- Operational Excellence - monitoring &amp; operation of production services.<br>About the team<br>Amazon Payment Services serves the needs of online shoppers in all Arabic speaking and surrounding countries through our trusted, secure payment network that gives everyone the opportunity to shop online safely and easily. The payment processing technology and solutions across major markets in the GCC &amp; Levant countries, operating in UAE, Egypt, Saudi Arabia, Lebanon, Jordan and Qatar.<br>- 3+ years of non-internship professional software development experience<br>- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience<br>- Experience programming with at least one software programming language<br>- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience<br>- Bachelor's degree in computer science or equivalent<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div>

<p><strong>Org. Setting and Reporting</strong> UNRWA is a United Nations agency established by the General Assembly in 1949 and is mandated to provide assistance and protection to a population of some 5.8 million registered Palestine refugees. Its mission is to help Palestine refugees in Jordan, Lebanon, Syria, West Bank and the Gaza Strip to achieve their full potential in human development, pending a just solution to their plight. UNRWA s services encompass education, health care, relief and social services, camp infrastructure and improvement, microfinance, and emergency assistance. UNRWA is the largest UN operation in the Middle East with more than 30,000 staff. UNRWA is funded almost entirely by voluntary contributions. If you are looking for a rewarding opportunity to make a tangible difference for one of the most vulnerable communities in the world, UNRWA would like to hear from you. Supervisor: The incumbent of this post reports to the Director of Communications. Supervisees: The incumbent of this post supervises a small number of professional and/or general services staff in the Communications Department.</p><p><strong>Responsibilities</strong> Develops new approaches, policies, processes and procedures and makes recommendations for the effective administration and improvement of the Agency s website design and usability, ensuring optimal user experience and compliance with latest industry standards. Designs creative, interactive and immersive webpages, using web design platforms (e.g., VeV) and content management systems (CMS). Supervises the English Language Website Manager and the Arabic Language Webmaster to ensure both languages on the websites reflect corresponding and accurate content, and conducts regular reviews of the website content to ensure it is up-to-date, accurate and valid. Liaises with the Head of Creative Digital and Multimedia, and focal points in the Agency s fields of operations, and relevant UNRWA departments, that provide content and information, to produce web content, including stories, videos, and photo essays, and coordinates with external programmes on technical improvement and training. Analyses website performance statistics and performs various Search Engine Optimisation tasks and, in collaboration with the Head of Creative Digital and Multimedia and Social Media Coordinator, coordinates with the web and social media vendors to improve services in line with the up-to-date technologies. In collaboration with the Head of Creative Digital and Multimedia, assists the Director of Communications in managing and producing compelling design and content for the Agency s various social media platforms, and provides web communications guidance to colleagues throughout the Agency Performs other duties as may be assigned by the supervisor(s).</p><p><strong>Competencies</strong> UN Core Values of Integrity, Professionalism and Respect for Diversity, and Core Competencies of Communication, Working with People and Drive for Results apply by default. Leading and Supervising Deciding and Initiating Action Creating and Innovating Delivering Results Demonstrating Self-Awareness</p><p><strong>Desired Candidate Profile</strong></p>An advanced university degree (Master s or equivalent) from an accredited educational institution in computer science, communications, or other related discipline. Job - Specific Qualification Not available. Work Experience Indicate your current involvement in any outside activities, as it is required. Including but not limited to employment, independent contractor/freelance consultant, board member (corporate, academic, etc), expert group, lobby, public speaking/writing (article, book, blog, social media etc), teaching, conferences, training, press statement, voluntary work, political activity, fundraising/donation for non-UNRWA entity, running for public office, role in political party or orgs, owning business, work for gov./NGO/private company/charity, UNRWA partner/vendor, full/part-time, paid or not. A yes answer doesn t necessarily lead to exclusion from future work at UNRWA, yet misrepresentation in providing accurate/complete info can lead to disqualification/termination of appointment, if hired. You are required to have at least seven years of progressively responsible and relevant experience in a large national or international organisation; Experience in Web management, and New Media. Knowledge of web communications technologies, including Drupal 11, and standards. You are required to have an advanced university degree (Master s or equivalent ) from an accredited educational institution in computer science, communications, or other related discipline. You are required to have excellent command of written and spoken Arabic and English. Are you currently residing in Duty Station. It is required that you specify your current location. Languages English and French are the working languages of the United Nations Secretariat. For this job opening, English and Arabic are required. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary: The Database Administrator will play a crucial role in the administration of systems infrastructure within our esteemed government entity.<br> Reporting directly to the IT Systems Manager, the incumbent is expected to bring expertise in Microsoft and Oracle database administration, ensuring the seamless functioning of critical databases.<br> Key Responsibilities: Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 8+ years of experience as a Database Administrator.<br> Strong knowledge of database administration and performance tuning.<br> Experience with database backup and recovery.<br> Understanding of database security and high availability.<br> Strong analytical and troubleshooting skills.<br> Good communication and teamwork skills.<br> Bachelor’s degree in a relevant field.<br> 4+ years of experience in the Information Technology industry Strong knowledge and experience in Oracle and SQL database administration.<br> Microsoft Certified Database Administrator (DBA) and Oracle Database SQL Certified Associate certifications are preferred.<br> Proven ability to proactively monitor and optimize database performance.<br> Experience in managing, coordinating, and implementing software upgrades and patches.<br> Familiarity with change management processes and incident correlation.<br> Excellent problem-solving skills and the ability to work collaboratively within a team.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Team Lead – Network Security Operations with 10+ years of experience to lead the day-to-day operations of the Network Security team.<br> The ideal candidate will oversee network security infrastructure, ensure the availability and security of enterprise environments, and provide technical leadership while supporting operational excellence.<br> Key Responsibilities Lead and manage the Network Security Operations team.<br> Oversee daily network security operations and ensure service availability.<br> Manage and support enterprise network security infrastructure.<br> Monitor, investigate, and resolve network security incidents.<br> Ensure security policies, standards, and operational procedures are followed.<br> Coordinate with infrastructure, cybersecurity, and other IT teams.<br> Review and approve network security changes and configurations.<br> Prepare operational reports and maintain technical documentation.<br> Drive continuous improvement of network security operations.<br> Bachelor's degree in Computer Science, Information Technology, Cyber Security, or a related field.<br> 10+ years of experience in network security operations.<br> Experience leading technical teams in an enterprise environment.<br> Strong understanding of network security technologies and operations.<br> Experience managing security incidents and operational support.<br> Strong leadership, communication, and problem-solving skills.<br> Nice to Have Experience working in enterprise or large-scale environments.<br> Network security certifications.<br> Experience with ITIL or service management processes.<br></span> </div>

<p>Job Title: Product Development Manager PaymentGuard Job Family: Business Operations Reports To: Product Management Director Subordinates: None</p><p>The Product Manager will focus on fraud detection projects and client engagements. This role will be responsible for working with clients to understand their business requirements and identify opportunities to leverage our product offerings to detect and prevent fraud. This role will act as the primary point of contact for driving requirements gathering, creating and maintaining business analysis documentation, and collaborating with our development and implementation teams to ensure solutions are implemented according to business requirements and that product benefits are fully realized</p><h2>Key Responsibilities</h2><h3>Product Strategy &amp; Roadmap</h3><ul><li>Define and maintain the PaymentGuard product roadmap aligned with business objectives and customer needs.</li><li>Translate business strategy into prioritized product initiatives and measurable outcomes.</li><li>Identify market opportunities through competitive analysis, customer feedback, and industry research.</li><li>Work closely with the Product Development Management Director to ensure alignment with the overall Financial Crime product strategy.</li><li>Continuously evaluate emerging technologies, payment trends, AI capabilities, and regulatory changes that impact the product.</li></ul><h3>Product Management</h3><ul><li>Own and prioritize the product backlog based on business value and customer impact.</li><li>Define product requirements, user stories, acceptance criteria, and functional specifications.</li><li>Work closely with Business Analysts to validate requirements and ensure complete documentation.</li><li>Collaborate with Engineering throughout the software development lifecycle to ensure successful product delivery.</li><li>Support solution design discussions while balancing customer requirements, scalability, usability, and technical feasibility.</li><li>Monitor product quality and continuously improve functionality and user experience.</li><li>Collaborate with Data Science teams to identify opportunities to incorporate AI-driven capabilities into the product.</li></ul><h3>Customer &amp; Market Focus</h3><ul><li>Engage with customers, partners, and internal stakeholders to understand business challenges and evolving requirements.</li><li>Gather customer feedback and translate insights into product improvements.</li><li>Support customer meetings, product demonstrations, workshops, and strategic discussions when required.</li><li>Collaborate with Customer Success and Support teams to resolve product-related escalations and identify recurring improvement opportunities.</li></ul><h3>Cross-Functional Collaboration</h3><ul><li>Work closely with Development, QA, UX, Implementation, Sales, Presales, Marketing, and Customer Success teams throughout the product lifecycle.</li><li>Ensure product requirements are clearly communicated and understood by all stakeholders.</li><li>Support sprint planning, backlog refinement, release planning, and product prioritization activities.</li><li>Provide functional guidance to Business Analysts and mentor junior team members where appropriate.</li></ul><h3>Product Launch &amp; Commercial Enablement</h3><ul><li>Support product positioning, pricing discussions, and go-to-market planning.</li><li>Review product documentation, release notes, user guides, and training materials.</li><li>Support product launches and ensure internal teams are prepared to successfully position and deliver new capabilities.</li><li>Measure product adoption, customer satisfaction, and product performance using relevant KPIs.</li></ul><h3>Continuous Improvement</h3><ul><li>Analyze product performance metrics and customer usage data to identify improvement opportunities.</li><li>Recommend enhancements that improve customer experience, operational efficiency, and product competitiveness.</li><li>Promote innovation and continuous improvement across the product management function.</li></ul><h2>Additional Functions</h2><ul><li>Conduct market and competitor research to support strategic product decisions.</li><li>Collaborate with external partners and vendors when required.</li><li>Accurately record work activities in the timesheet system and ensure timely submission of timesheets in accordance with company policies and deadlines.</li><li>Maintain the security of the information, devices and systems that Eastnets, and its personnel, customers and partners use.</li><li>Protect Eastnets business information and any customer, supplier or partner information within its custody by safeguarding its confidentiality, integrity and availability.</li><li>Adhere to and comply with Eastnets internal security policies, Code of Ethics, Nondisclosure Policy, Non-Compete Policy, Email Policy, Proprietary Rights Acknowledgement, Background Check Policy, and all other internal policies and employee handbook.</li><li>Participate in the company s wide initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.</li><li>Minimum 6 8 years of experience in Product Management, Business Analysis, or Product Development within the financial technology industry.</li><li>Experience in payments, transaction monitoring, financial crime, AML, or compliance solutions is highly preferred.</li><li>Awareness of payment and fraud regulation (PSD2/PSD3, SCA, Confirmation/Verification of Payee, APP fraud reimbursement regimes).</li><li>Familiarity with third-party fraud signals (device intelligence, behavioral biometrics, consortium data).</li><li>Familiarity with APIs, integrations, cloud technologies, and AI-enabled product capabilities.</li><li>Awareness of data privacy and residency requirements (GDPR, regional mandates).</li><li>Strong understanding of product management principles, agile methodologies, and the software development lifecycle.</li><li>Experience translating business requirements into product features and functional specifications.</li><li>Strong knowledge of payment ecosystems, payment messaging standards (SWIFT, ISO 20022, SEPA, etc.), and financial services technology.</li><li>Ability to prioritize competing initiatives using customer value and business impact.</li><li>Strong analytical, problem-solving, and decision-making skills.</li><li>Excellent stakeholder management and communication skills.</li><li>Experience working with cross-functional technical and business teams.</li><li>Familiarity with APIs, integrations, cloud technologies, and AI-enabled product capabilities is an advantage.</li><li>Excellent command of the English language.</li><li>Relevant certifications (CFE, CAMS, or a product certification such as Pragmatic) is a plus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Business Support Systems Associate supports the development, maintenance, and monitoring of core financial systems and data platforms.<br> The role involves assisting in database operations, system integrations, reporting, and daily operational support to ensure system stability, data accuracy, and business continuity.<br> Responsibilities Assist in managing and supporting core systems, including database operations and application services.<br> Execute SQL queries and support data extraction, validation, and analysis tasks.<br> Monitor system performance, troubleshoot issues, and escalate incidents when required.<br> Support daily operational activities such as transaction monitoring and reporting.<br> Participate in system releases, testing, and deployment activities.<br> Support integrations with external systems and APIs (e.<br>g., payment systems, reporting platforms).<br> Collaborate with internal teams (IT, Operations, Finance, Marketing) to support business requirements.<br> Document processes, procedures, and technical configurations.<br> Assist in maintaining dashboards and reports for business and operational insights.<br> Ensure compliance with security, data protection, and operational standards.<br> Bachelor’s degree in computer science, Information Systems, or related field.<br> 1-3 years of experience in business support systems, IT support, or related roles.<br> Basic knowledge of SQL and relational databases (preferably Oracle).<br> Understanding of system operations, APIs, and data flows.<br> Familiarity with Linux/Unix operating systems and basic command-line usage.<br> Eligible to work in Jordan.<br> Preferred Experience Exposure to financial systems, payment platforms, or telecom environments.<br> Basic understanding of reporting tools or dashboards.<br> Familiarity with monitoring tools or job schedulers (e.<br>g., Jenkins).<br></span> </div>

<p><h4>Description</h4> <p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p> <h4>Responsibilities:</h4> <ul> <li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li> <li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li> <li>Support workstation setup, system configuration, and software deployment tasks.</li> <li>Accurately record all incidents, service requests, solutions, and procedures.</li> <li>Keep knowledge base articles updated to enhance end-user efficiency.</li> <li>Work closely with other IT teams to escalate and track complex technical issues.</li> <li>Uphold excellent customer service, professionalism, and clear communication at all times.</li> </ul> <h4>Requirements</h4> <ul> <li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li> <li>2 to 5 years of experience in helpdesk or technical support positions.</li> <li>In-depth understanding of Windows and Linux operating systems.</li> <li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li> <li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li> <li>Strong problem-solving abilities along with excellent communication skills.</li> <li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li> <li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li> <li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li> </ul> <h4>Benefits</h4> <ul> <li>Bonus</li> <li>Medical insurance</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p> <h4>Responsibilities:</h4> <ul> <li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li> <li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li> <li>Support workstation setup, system configuration, and software deployment tasks.</li> <li>Accurately record all incidents, service requests, solutions, and procedures.</li> <li>Keep knowledge base articles updated to enhance end-user efficiency.</li> <li>Work closely with other IT teams to escalate and track complex technical issues.</li> <li>Uphold excellent customer service, professionalism, and clear communication at all times.</li> </ul> <h4>Requirements</h4> <ul> <li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li> <li>2 to 5 years of experience in helpdesk or technical support positions.</li> <li>In-depth understanding of Windows and Linux operating systems.</li> <li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li> <li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li> <li>Strong problem-solving abilities along with excellent communication skills.</li> <li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li> <li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li> <li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li> </ul> <h4>Benefits</h4> <ul> <li>Bonus</li> <li>Medical insurance</li> </ul></p><p></p>

<p>Lead and coordinate cross-functional technical teams, including software developers, QA engineers, and technical specialists, throughout the project lifecycle. Own the end-to-end technical delivery of multiple IT projects, ensuring successful execution from planning through deployment. Serve as the primary IT point of contact for the PMO, business units, third-party vendors, and technology partners. Translate business requirements into actionable technical plans, priorities, and delivery roadmaps. Provide technical leadership to ensure solutions meet architecture, security, quality, and performance standards. Manage IT project scope, schedules, resource allocation, deliverables, and technical dependencies. Facilitate technical discussions, drive decision-making, and resolve delivery challenges across stakeholders. Identify, assess, and mitigate technical risks while proactively managing project dependencies and blockers. Coordinate smooth transitions between development, testing, release, and production deployment activities. Monitor delivery progress, resource utilization, project health, and technical performance, providing regular updates to IT leadership. Foster collaboration, accountability, and continuous improvement across technical teams to achieve successful project outcomes.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. 7+ years of experience in software development, IT project delivery, or technology leadership roles. Proven experience managing technical teams and delivering complex IT projects. Strong understanding of software development methodologies, SDLC, Agile, and Scrum practices. Experience working with PMOs, business stakeholders, vendors, and cross-functional teams. Excellent leadership, stakeholder management, communication, and problem-solving skills. Strong understanding of software architecture, application delivery, quality assurance, and deployment processes. PMP, PRINCE2, Scrum Master, or Agile certifications are considered an advantage.</p>