Python Developer Jobs in Jordan

<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"><p>Position Summary We are seeking a highly capable Senior ERPNext / Frappe Solution Engineer to lead the implementation, configuration, customization, and continuous improvement of our enterprise platform built on the Frappe Framework and ERPNext. This role is primarily focused on translating business policies, procedures, and operational requirements into effective ERPNext configurations, workflows, controls, and business processes. The successful candidate will work closely with business stakeholders across multiple departments and regional operations to ensure that ERPNext becomes the central platform governing and automating business operations. While development skills are important, the primary focus of this role is business process implementation, solution design, workflow automation, and ERP governance. This is primarily an onsite position with occasional remote work flexibility.</p><p>Key Responsibilities</p><ul><li>Business Process Analysis &amp; ERP Design<ul><li>Analyze existing business processes, policies, and procedures across departments.</li><li>Translate approved policies and procedures into ERPNext configurations, workflows, approval matrices, and system controls.</li><li>Design end-to-end operational processes within ERPNext.</li><li>Recommend process improvements and automation opportunities.</li><li>Ensure consistency and standardization across business units and regions.</li></ul></li><li>ERPNext Implementation &amp; Configuration<ul><li>Lead implementation and configuration of ERPNext modules including:<ul><li>Finance &amp; Accounting</li><li>CRM &amp; Sales</li><li>Procurement</li><li>Inventory &amp; Warehousing</li><li>Human Resources &amp; Payroll</li><li>Projects</li><li>Assets</li><li>Helpdesk and Service Management</li><li>Manufacturing (where applicable)</li></ul></li><li>Configure:<ul><li>Workflows</li><li>Roles and Permissions</li><li>Approval Chains</li><li>Notifications</li><li>Dashboards</li><li>Reports</li><li>Forms and Custom Fields</li></ul></li><li>Manage system setup, testing, deployment, and user acceptance activities.</li></ul></li><li>Frappe Development &amp; Customization<ul><li>Develop custom applications and enhancements using the Frappe Framework.</li><li>Create custom DocTypes, Scripts, Reports, Dashboards, and Integrations.</li><li>Extend ERPNext functionality when business requirements cannot be achieved through configuration alone.</li><li>Maintain upgrade compatibility and system maintainability.</li></ul></li><li>Governance, Compliance &amp; Controls<ul><li>Implement business controls and approval structures.</li><li>Ensure ERP workflows comply with internal policies and governance requirements.</li><li>Support audit readiness through proper system design and traceability.</li><li>Assist in standardizing processes across multiple regions and business units.</li></ul></li><li>Integration &amp; Automation<ul><li>Integrate ERPNext with third-party systems and enterprise applications.</li><li>Develop and maintain APIs and data exchange processes.</li><li>Support workflow automation initiatives across departments.</li></ul></li><li>Stakeholder Engagement<ul><li>Work directly with department heads and business teams.</li><li>Conduct workshops and requirements-gathering sessions.</li><li>Translate business requirements into functional and technical specifications.</li><li>Deliver training and support user adoption.</li></ul></li><li>Leadership &amp; Knowledge Transfer<ul><li>Act as the internal subject matter expert for ERPNext and Frappe.</li><li>Mentor junior engineers and implementation consultants as the team grows.</li><li>Establish implementation standards and best practices.</li><li>Contribute to long-term ERP strategy and roadmap planning.</li></ul></li></ul><p>Required Qualifications</p><ul><li>5+ years of ERP implementation experience.</li><li>3+ years of hands-on ERPNext and Frappe Framework experience.</li><li>Demonstrated experience implementing multiple ERPNext modules in production environments.</li><li>Strong understanding of enterprise business processes and operational workflows.</li><li>Experience translating policies and procedures into ERP system configurations.</li><li>Strong knowledge of:<ul><li>ERPNext</li><li>Frappe Framework</li><li>Python</li><li>JavaScript</li><li>MariaDB / MySQL</li><li>REST APIs</li><li>Linux</li></ul></li><li>Experience with workflow design and business process automation.</li><li>Strong documentation and stakeholder communication skills.</li></ul><p>Preferred Qualifications</p><ul><li>ERPNext or Frappe certifications.</li><li>Experience implementing ERP solutions across multiple countries or regions.</li><li>Experience in GCC and Levant business environments.</li><li>Knowledge of regional accounting, tax, payroll, and compliance requirements.</li><li>Experience leading ERP implementation projects.</li><li>Experience with cloud deployments, Docker, and DevOps practices.</li></ul><p>Key Competencies</p><ul><li>Business Process Mapping</li><li>ERP Solution Design</li><li>Workflow Automation</li><li>Stakeholder Management</li><li>Requirements Analysis</li><li>Problem Solving</li><li>ERP Governance</li><li>Process Improvement</li><li>Change Management</li><li>Team Leadership</li></ul><p>Success Measures</p><ul><li>The successful candidate will:<ul><li>Successfully implement and optimize ERPNext across business units.</li><li>Convert approved policies and procedures into system-enforced workflows and controls.</li><li>Improve operational efficiency through automation and process standardization.</li><li>Maintain a scalable, secure, and sustainable ERP platform.</li><li>Support business growth across multiple regions and operating entities.</li><li>Become the organization s internal ERPNext and Frappe subject matter expert.</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of ERP implementation experience.</li><li>3+ years of hands-on ERPNext and Frappe Framework experience.</li><li>Demonstrated experience implementing multiple ERPNext modules in production environments.</li><li>Strong understanding of enterprise business processes and operational workflows.</li><li>Experience translating policies and procedures into ERP system configurations.</li><li>Strong knowledge of:<ul><li>ERPNext</li><li>Frappe Framework</li><li>Python</li><li>JavaScript</li><li>MariaDB / MySQL</li><li>REST APIs</li><li>Linux</li></ul></li><li>Experience with workflow design and business process automation.</li><li>Strong documentation and stakeholder communication skills.</li></ul><p>Preferred Qualifications</p><ul><li>ERPNext or Frappe certifications.</li><li>Experience implementing ERP solutions across multiple countries or regions.</li><li>Experience in GCC and Levant business environments.</li><li>Knowledge of regional accounting, tax, payroll, and compliance requirements.</li><li>Experience leading ERP implementation projects.</li><li>Experience with cloud deployments, Docker, and DevOps practices.</li></ul><p>Key Competencies</p><ul><li>Business Process Mapping</li><li>ERP Solution Design</li><li>Workflow Automation</li><li>Stakeholder Management</li><li>Requirements Analysis</li><li>Problem Solving</li><li>ERP Governance</li><li>Process Improvement</li><li>Change Management</li><li>Team Leadership</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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><p>Responsibilities:</p><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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: 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>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : 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></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> 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.<br> Responsibilities: 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 Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : 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</span> </div>

<p>About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.</p><p><b>What You'll Do</b></p><ul><li>Develop, deploy, and maintain production machine learning models.</li><li>Perform exploratory data analysis and feature engineering to extract actionable insights.</li><li>Build and improve data pipelines that support ML workflows and automation.</li><li>Collaborate with engineering and business stakeholders to deliver scalable ML solutions.</li><li>Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.</li><li>Monitor and optimize model performance in production environments (not only notebook-based development).</li><li>Document all procedures, configurations, and changes in a clear, auditable manner.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need</p><ul><li>2+ years of experience building and maintaining production machine learning models.</li><li>Strong Python programming skills.</li><li>Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.</li><li>Experience deploying and monitoring ML models in production (not only notebook-based development).</li><li>Advanced SQL.</li><li>Git/version control.</li><li>Ability to work independently in production environments.</li><li>Experience with MLOps tools (MLflow, Airflow, dbt, or similar).</li><li>Snowflake.</li><li>Marketing, growth, experimentation, or causal inference experience.</li><li>Experience with LLMs or AI agents.</li><li>Agile development practices.</li><li>Experience building scalable ML solutions in enterprise environments.</li><li>Familiarity with cloud-based ML platforms and production deployment best practices.</li><li>Strong communication skills and ability to work with cross-functional teams.</li><li>Familiarity with US time zones (PST to EST) and remote collaboration workflows.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>AWS Cloud Engineer (Remote – Jordan)</p><p><br></p><p>We are hiring AWS Cloud Engineers to join our managed services team supporting enterprise clients in Europe. You will operate and develop internet-facing applications on AWS in a 24/7 model.</p><p><br></p><p>What you'll do:</p><p>• Operate and monitor AWS-based applications (EC2, VPC, Route 53, S3)</p><p>• Handle incidents under strict SLAs (15-min pickup, 30-min response, 2-hr resolution)</p><p>• Build and maintain Infrastructure as Code (CloudFormation, CDK, or Terraform)</p><p>• Monthly patching, backup &amp; restore, disaster recovery</p><p>• Maintain operational documentation (runbooks, recovery plans)</p><p>• Support platform services: Control Tower, Security Hub, GuardDuty, Transit Gateway, IAM</p><p>• Antivirus management (Trend Micro Cloud One)</p><p><br></p><p>What you bring:</p><p>• Valid AWS certification (Solutions Architect Associate or higher)</p><p>• Hands-on AWS experience (minimum 2 years)</p><p>• Infrastructure as Code skills (CloudFormation, CDK, or Terraform)</p><p>• Strong Linux administration skills</p><p>• Monitoring &amp; ticketing experience (any tools — we'll train on ours)</p><p>• Fluent English (written &amp; spoken)</p><p>• Willingness to participate in 24/7 on-call rotation</p><p><br></p><p>Nice to have:</p><p>• AWS Solutions Architect Professional or Security Specialty</p><p>• ITIL knowledge</p><p>• Experience in regulated industries (insurance/finance)</p><p>• Nextcloud experience</p><p><br></p><p>What we offer:</p><p>• Competitive salary (well above local market)</p><p>• 24/7 standby compensation on top of base pay</p><p>• Long-term engagement (12 months, renewable)</p><p>• Work with enterprise-grade European clients</p><p>• Remote from Jordan</p><p><br></p><p>Start: Q1 2027</p><p>Type: Full-time contractor</p><p>Location: Remote (Jordan)</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>AWS EC2, AWS VPC, AWS Route 53, AWS S3, AWS IAM, AWS Control Tower, AWS Security Hub, AWS GuardDuty, AWS Transit Gateway, AWS Network Firewall, AWS Organizations, AWS CloudFormation, AWS CDK, Terraform, Infrastructure as Code, Linux Administration, 24/7 Operations, Incident Management, SLA Management, Monitoring, Site24x7, ServiceNow, Trend Micro Cloud One, Backup &amp; Restore, Disaster Recovery, Patching, CI/CD, Python, Bash Scripting, ITIL, Security Best Practices, CIS Benchmark, Nextcloud, Runbook Documentation</p></div>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>JOB SUMMARY</b></p><p><b>The Enterprise Digital Solutio</b>ns Analyst is a full-stack digital practitioner within KEO Group s IT function, responsible for designing and delivering solutions that digitize, automate, and surface intelligence across the organization. The role spans four capability pillars Microsoft platform and SPFx/.NET development, Power Platform architecture, data and analytics engineering, and AI integration - with a strong secondary differentiator in Autodesk APS and AEC platform integrations. It requires someone equally comfortable writing a TypeScript web part, building a cross-platform mobile app in React Native, standing up a .NET Core service or Python automation, designing a Dataverse schema, building a Power BI semantic model, or prototyping an Azure OpenAI solution. Working within a multidisciplinary practice of data, knowledge, and infrastructure specialists, the Analyst translates operational challenges into scalable, well-governed digital products that KEO s people actually use - across projects, practices, and geographies.</p><p>KEY TASKS AND RESPONSIBILITIES</p><p>Microsoft Platform Development &amp; Automation</p><ul><li>Own the design, development, and delivery of solutions across the full Microsoft stack - from Power Platform apps and flows to SPFx web parts, .NET Azure Functions, and Graph API integrations - translating complex business requirements into maintainable, scalable applications.</li><li>Build and govern automated business processes across M365, integrating SharePoint Online, Dataverse, Teams, and third-party systems via connectors and direct REST/Graph API calls, selecting the right pattern based on performance, supportability, and security posture.</li><li>Extend Microsoft 365 Copilot through Copilot Studio - building declarative agents, custom connectors, and prompt extensions that surface KEO knowledge and process intelligence in the tools employees already use.</li><li>Build and deliver cross-platform mobile applications using React Native for Android and iOS, alongside modern web front-ends built with React and Next.js, extending KEO's digital solutions to field, site, and executive users beyond the desktop.</li></ul><p>Data, Analytics &amp; Reporting</p><ul><li>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</li><li>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</li><li>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</li></ul><p>AI Integration &amp; Innovation</p><ul><li>Prototype and build AI-augmented solutions using Azure OpenAI, Copilot Studio, and the Power Platform AI Builder - identifying high-value use cases through engagement with business stakeholders and translating them into working pilots.</li><li>Stay ahead of the Microsoft AI and Power Platform release cadence, evaluating new capabilities (Copilot agents, AI Builder models, Semantic Kernel integrations) for relevance and value within KEO s operating context.</li></ul><p>Platform Support, Governance &amp; Collaboration</p><ul><li>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</li><li>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</li><li>Performs other duties as assigned.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Typically, 5 – 8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</li><li>Proficient in C#, .NET, and .NET Core for Azure Functions, Web APIs, and cross-platform back-end services; strong TypeScript and JavaScript (ES6+, async/await, module bundling), SPFx and client-side development; solid HTML5 and CSS3 for custom front-end work across SharePoint and Power Pages.</li><li>Deep SPFx development experience - web parts, application customizers, field customizers, and List View Command Sets - using PnP JS, Microsoft Graph Toolkit, and SharePoint REST and Graph API endpoints, with React component patterns as standard.</li><li>Hands-on experience building and shipping cross-platform mobile applications with React Native, including production deployments to both Android (Google Play) and iOS (App Store).</li><li>Strong command of React and Next.js for building modern, component-based and server-rendered web applications, including routing, state management, and integration with REST and Graph APIs.</li><li>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</li><li>Hands-on experience with Power Automate and Power BI</li><li>Hands-on experience with Azure Functions, Azure Logic Apps, Azure Storage Accounts (blobs, queues, tables), Azure Service Bus, and API Management for enterprise integration patterns; familiar with Azure DevOps CI/CD pipelines for Power Platform solutions, SPFx packages, and .NET APIs.</li><li>Solid command of Entra ID app registrations, OAuth 2.0 flows (authorization code, client credentials, on-behalf-of), managed identities, and Microsoft Graph delta queries - able to design and debug end-to-end authentication flows across the Microsoft identity platform without assistance.</li><li>Strong relational database skills, including data schema design and management, authoring complex queries, developing and maintaining stored procedures, and performance optimization (indexing strategy, query plan analysis, and normalization) across SQL Server and comparable relational databases.</li><li>Experience building with Azure OpenAI (GPT-4o, embeddings, Assistants API), Azure AI Search (RAG patterns, semantic ranking, vector search), and AI Builder; familiar with Copilot Studio for declarative agents and custom connectors; working awareness of Semantic Kernel for orchestrating LLM-based workflows within enterprise applications.</li><li>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</li><li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li></ul><p></p></section>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key Responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>