وظائف مطورين بايثون - الرياض السعودية

<p>We are looking for a Senior Specialist Cybersecurity Production Support to join our team in Saudi Arabia. Job Overview: The Senior Specialist will be responsible for supporting and maintaining cybersecurity platforms, ensuring high availability, operational stability, and effective security monitoring across enterprise environments. Key Responsibilities: Provide production support for cybersecurity platforms including SIEM, SOAR, VPN, and security monitoring solutions. Monitor cybersecurity platforms, dashboards, alerts, and operational activities. Support Splunk SIEM use cases, log ingestion, correlation rules, and performance optimization. Manage and maintain SOAR workflows, playbooks, and automation processes. Support VPN infrastructure including secure remote access and site-to-site connectivity. Perform Incident, Problem, and Change Management activities following ITIL practices. Conduct Root Cause Analysis (RCA) for security incidents and platform issues. Support Cyber Incident Response activities including investigation and remediation. Participate in Disaster Recovery (DR) and Business Continuity Planning (BCP). Maintain security documentation, runbooks, SOPs, and operational reports. Collaborate with security teams, infrastructure teams, and vendors for issue resolution.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Cybersecurity, Information Security, Computer Science, or related field. 4 8 years of experience in cybersecurity production support within enterprise or financial environments. Hands-on experience with: SIEM platforms (Splunk Enterprise / Splunk ES preferred) SOAR platforms (Cortex XSOAR, Splunk SOAR, or similar) VPN technologies (IPSec / SSL VPN) Security monitoring and incident response Strong understanding of cybersecurity operations, threat detection, and log analysis. Experience with ITIL Incident, Problem, and Change Management. Knowledge of SAMA Cybersecurity Framework, NCA ECC, PDPL, and NDMO is preferred. Basic scripting knowledge (Python, PowerShell, or similar) is preferred.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Quality Engineering Lead</p> <p>We are looking for a Software Quality Engineering Lead who is passionate about building quality from the early stages (Shift-Left approach) and driving automation-first testing strategies using modern technologies.</p> <p>The ideal candidate will play a key role in embedding quality practices across the SDLC, ensuring high-quality releases through robust automation frameworks and CI/CD integration.</p> <p> </p> <ul> <li> <span> <span> </span> </span>Lead and implement Shift-Left testing practices across all development phases</li> <li> <span> <span> </span> </span> Design, develop, and maintain scalable test automation frameworks</li> <li> <span> <span> </span> </span> Collaborate with developers, product owners, and DevOps teams to ensure quality is built-in, not tested later</li> <li> <span> <span> </span> </span> Integrate automated tests within CI/CD pipelines to enable continuous testing</li> <li> <span> <span> </span> </span> Perform API, UI, and integration testing using modern tools</li> <li> <span> <span> </span> </span> Analyze test results, identify defects early, and ensure fast feedback loops</li> <li> <span> <span> </span> </span> Drive test data management and environment readiness</li> <li> <span> <span> </span> </span> Contribute to quality metrics, reporting, and continuous improvement initiatives</li> </ul> <p> </p> <p>#LI-DNP</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Quality Engineering Lead</p> <ul> <li>2-4 years of experience in Software Testing / Quality Engineering</li> <li>Strong experience in test automation (e.g., Selenium, Cypress, Playwright, or similar)</li> <li>Solid understanding of Shift-Left testing principles</li> <li>Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps)</li> <li>Experience in API testing (Postman, REST Assured, etc.)</li> <li>Good knowledge of programming/scripting (Java, JavaScript, Python, or similar)</li> <li>Experience working in Agile/Scrum environments</li> <li>Strong analytical and problem-solving skills</li> <li>SQL proficiency and familiarity with APIs and Postman.</li> <li>Excellent communication and problem-solving skills.</li> <li>Ability to participate in penetration testing using Burp Suite or similar tools.</li> </ul> <p>Familiarity with OWASP standards and security best practices.</p> <p> <strong>Preferred Skills:</strong> </p> <ul> <li>Experience in performance testing (JMeter, k6)</li> <li>Knowledge of security testing and penetration testing techniques.</li> <li>Familiarity with cloud environments (Oracle, Azure,)</li> <li>Experience with containerization (Docker, Kubernetes)</li> </ul> <p>#LI-DNP</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>What You Will Build</b></span></div><div><span >➤ Production AI agents using Microsoft Foundry Agent Service: multi-agent workflows, hosted agents, memory, observability, identity integration, secure endpoints, and deployment</span></div><div><span ><br></span></div><div><span >➤ Knowledge-grounded experiences using Azure AI Search and retrieval-augmented generation, including vectors, keyword-searchable, hybrid, semantic-ranking and enterprise-permissioned retrieval (When do we need vectorization and when we don’t, when to create handovers between agents, when to rely on the model’s context window, when to finetune and when to use RAG)</span></div><div><span ><br></span></div><div><span >➤ Deterministic, source-grounded extraction: pipelines that pull figures and facts straight from documents without hallucinating, attaching citations, provenance and uncertainty flags to every claim so outputs are auditable</span></div><div><span ><br></span></div><div><span >➤ Tool-using agents that execute secure actions through Model Context Protocol (MCP), Azure Logic Apps, Azure Functions, and custom APIs</span></div><div><span ><br></span></div><div><span >➤ Model-optimized applications using Foundry Models and the model router, balancing quality, latency, and cost</span></div><div><span ><br></span></div><div><span >➤ Enterprise-safe systems with prompt shielding, grounded Ness checks, and content-safety enforcement</span></div><div><span ><br></span></div><div><span >➤ Reusable reference agents, connectors, and evaluation templates that ship into our UseCaseLibrary and accelerate delivery across the region</span></div><div><span ><br></span></div><div><span >What You Will Do</span></div><div><span >➤ Translate business opportunities into robust, production-ready agent architectures</span></div><div><span >➤ Build pro-code AI agents using Python (FastAPI, Streamlit, Scraping, Serialization, etc..), .NET React.js with the Microsoft Agent Framework (Knowing Langgraph/Langchain/Semantic Kernel is an edge)</span></div><div><span >➤ Lead the design of multi-agent orchestration and agentic design patterns, including planning, routing, and human-in-the-loop patterns, on the team's most complex builds (understanding distributed systems is a plus)</span></div><div><span >➤ Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery</span></div><div><span >➤ Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines — using GitHub Actions and pipeline YAML, with infrastructure-as-code (Bicep or Terraform) a plus</span></div><div><span >➤ Familiarity with networking concepts — VNets, subnets, private endpoints (and private DNS), NSGs, and firewall / allow listing — for deploying AI services securely inside an enterprise tenant.</span></div><div><span >➤ Familiarity with data engineering and pre-processing — parsing, cleaning, normalization, deduplication and schema creation and engineering/validation (for quantitative and qualitative metrics) — so the data feeding agents and retrieval is clean, typed and reliable.</span></div><div><span >➤ Understanding model capabilities, benchmarks and limitations — and how to work around them: training-data knowledge cut-off, prompt-injection, context and harness engineering, retrieval grounding, and fine-tuning.</span></div><div><span >➤ Set and maintain the reference patterns and reusable components other engineers build from</span></div><div><span >➤ Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path</span></div><div><span >➤ Support presales and customer proposals with technical input on feasibility and solution design</span></div><div><span ><br></span></div><div><span >What You Bring</span></div><div><span >➤ Significant hands-on experience building production AI agents or AI-infused applications, not just prototypes</span></div><div><span >➤ Strong software engineering skills in Python or .NET, including modern cloud-integration patterns</span></div><div><span >➤ Hands-on experience with Microsoft Foundry: projects, SDKs, models, the model router, hosted agents, and Foundry tools</span></div><div><span >➤ Demonstrable experience building complete agentic workflows in Foundry Agent Service, including tool invocation and deployment</span></div><div><span >➤ Deep understanding of Azure AI Search and retrieval-augmented generation patterns, including vector, hybrid, and multimodal retrieval</span></div><div><span >➤ Practical experience implementing AI safety features: prompt shields, grounded Ness checks, and sensitive-content filters</span></div><div><span >➤ Experience with Azure Logic Apps, Azure Functions, Model Context Protocol (MCP) tools, and secure enterprise integrations</span></div><div><span >➤ Strong understanding of Microsoft Entra ID and enterprise governance best practice</span></div><div><span >➤ Experence reviewing other engineers' technical work and giving direct, constructive feedback</span></div><div><span >➤ Daily proficiency with GitHub Copilot, including effective use of GitHub Copilot Chat in real development work</span></div><div><span >➤ Comfort with CI/CD pipelines, telemetry, evaluation metrics, and iterative delivery</span></div><div><span >➤ Backend and streaming services: designing and operating asynchronous APIs (FastAPI/ASGI, or ASP.NET) with streaming responses, middleware, and clean configuration and secrets handling</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>NA</p><p></p></section>

<p>We are looking for a detail-oriented and technically skilled Draftsman to join our HD Maps Production team focused on autonomous driving technologies. In this role, you will contribute to building and maintaining high-definition (HD) maps that serve as the foundation for autonomous vehicle perception, localization, and navigation systems. You will work closely with engineers, GIS specialists, and data analysts to transform geospatial and sensor data into highly accurate and structured digital map layers.</p><p><strong>Duties, Tasks and Responsibilities:</strong></p><ul><li>Create, edit, and maintain HD map data layers from point clouds data.</li><li>Perform precise drafting and feature annotation following autonomous driving map standards and specifications.</li><li>Ensure geometric accuracy, spatial alignment, and attribute consistency across all map datasets.</li><li>Collaborate with mapping engineers and software teams to validate and integrate HD map data into production pipelines.</li><li>Conduct quality control and assurance checks to maintain data accuracy and compliance with internal standards.</li><li>Work with AutoCAD, GIS tools, and 3D visualization software to represent road networks, lane markings, traffic signs, and other critical road features.</li><li>Document and maintain detailed records of production progress and workflow updates.</li><li>Support the development and optimization of mapping templates, tools, and automated workflows.</li></ul><p><strong>Job Requirements:</strong></p><ul><li>Diploma or bachelor s degree in civil engineering, Architecture, Geomatics, GIS, Surveying, or a related field.</li><li>Proven experience as a Draftsman, CAD Technician, or GIS Operator (experience in mapping or transportation projects preferred).</li><li>Proficiency in AutoCAD, MicroStation, or equivalent CAD platforms.</li><li>Basic understanding of GIS principles and geospatial data formats such as shapefiles, GeoJSON, and LAS.</li><li>Familiarity with LiDAR data, 3D modeling, or HD map production workflows.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong teamwork, communication, and problem-solving abilities.</li></ul><p><strong>Nice to have skills</strong></p><ul><li>Experience with QGIS, ArcGIS, or other geospatial analysis tools.</li><li>Knowledge of HD map standards for autonomous driving, including ADAS, localization, and semantic mapping.</li><li>Experience with Python or automation scripting for data processing is a plus.</li><li>Understanding of coordinate systems, projections, and georeferencing techniques.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Diploma or bachelor s degree in civil engineering, Architecture, Geomatics, GIS, Surveying, or a related field.</li><li>Proven experience as a Draftsman, CAD Technician, or GIS Operator (experience in mapping or transportation projects preferred).</li><li>Proficiency in AutoCAD, MicroStation, or equivalent CAD platforms.</li><li>Basic understanding of GIS principles and geospatial data formats such as shapefiles, GeoJSON, and LAS.</li><li>Familiarity with LiDAR data, 3D modeling, or HD map production workflows.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong teamwork, communication, and problem-solving abilities.</li><li>Experience with QGIS, ArcGIS, or other geospatial analysis tools.</li><li>Knowledge of HD map standards for autonomous driving, including ADAS, localization, and semantic mapping.</li><li>Experience with Python or automation scripting for data processing is a plus.</li><li>Understanding of coordinate systems, projections, and georeferencing techniques.</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Qualcomm and the Opportunity</h3> <p style="margin:0 0 12px; ************;">Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its infrastructure across the region. As Saudi Arabia progresses with its digital transformation under Vision 2030, Qualcomm is investing in advanced computing and data centre capabilities to support AI, cloud technologies, and scalable advanced connectivity. This presents an opportunity to contribute to a rapidly growing technology hub. We are seeking a <strong style="font-weight:700;">Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">The Staff-level ML Applications Engineer will operate with a high degree of autonomy, defining technical goals and scope for assigned problem areas. This role involves leading development efforts from conception through execution, requiring extensive hands-on experience in C++/Python-based AI development within a Linux environment. The successful candidate will demonstrate strong analytical skills, foster effective cross-team collaboration, and mentor other engineers through practical example, maintaining a hands-on, execution-focused approach.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Improve and optimize key Deep Learning models on Qualcomm AI 100.</li> <li style="margin:0 0 6px;">Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li> <li style="margin:0 0 6px;">Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li> <li style="margin:0 0 6px;">Develop software tools and an ecosystem around the AI SW Stack.</li> <li style="margin:0 0 6px;">Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li> <li style="margin:0 0 6px;">Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li> <li style="margin:0 0 6px;">Optimize the entire deep learning pipeline, including graph compiler integration.</li> <li style="margin:0 0 6px;">Apply knowledge of software engineering best practices.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li> <li style="margin:0 0 6px;">Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li> <li style="margin:0 0 6px;">Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li> <li style="margin:0 0 6px;">Strong analytical skills and a proven ability to collaborate effectively across teams.</li> <li style="margin:0 0 6px;">Experience mentoring and guiding other engineers through practical example.</li> <li style="margin:0 0 6px;">Proficiency with Deep Learning models, frameworks, and optimization techniques.</li> <li style="margin:0 0 6px;">Familiarity with open-source contributions and building software ecosystems around AI stacks.</li> <li style="margin:0 0 6px;">Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li> <li style="margin:0 0 6px;">Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li> <li style="margin:0 0 6px;">Adherence to software engineering best practices.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation Structure</h3> <p style="margin:0 0 12px; ************;">The compensation package for this full-time position includes a competitive salary, housing and transport allowances, Stock (RSU's), and a performance-related bonus.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Join Our Team</h3> <p style="margin:0 0 12px; ************;">This role offers an opportunity to contribute to the advancement of AI and data centre capabilities within a global technology leader. We invite qualified candidates to apply.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Agoda and the Role</h3> <p style="margin:0 0 12px; ************;">Agoda, a part of Booking Holdings [NASDAQ: BKNG], is a global travel platform connecting people to destinations and experiences worldwide. With a diverse team operating in offices globally, Agoda leverages technology and data to enhance travel for millions. We are seeking a <strong style="font-weight:700;">Senior/Staff Endpoint Systems Engineer</strong> to join our full-time team based in Bangkok. This role is critical for maintaining and improving end-user experience through advanced engineering and technical ownership.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">This position operates within a high-impact, fast-paced engineering environment, focusing on innovation and deep technical expertise. The Senior/Staff Endpoint Systems Engineer serves as the final technical escalation point for complex, high-impact issues across endpoint systems and infrastructure. The role involves driving root cause analysis, collaborating with internal teams and vendors, and implementing lasting solutions to challenging problems.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Act as the highest escalation point for unresolved 1st- and 2nd-level support cases.</li> <li style="margin:0 0 6px;">Perform deep technical troubleshooting for complex OS and hardware issues, including Windows BSODs, driver issues, and hardware failures.</li> <li style="margin:0 0 6px;">Conduct root cause analysis to ensure findings lead to long-term fixes, standards, or automation.</li> <li style="margin:0 0 6px;">Manage and troubleshoot devices using enterprise tooling such as Intune, Configuration Manager, KACE, JAMF, and Altiris.</li> <li style="margin:0 0 6px;">Design and maintain robust deployment, patching, compliance, and security baselines for Windows fleets.</li> <li style="margin:0 0 6px;">Monitor endpoint health and performance using custom platforms, proactively identifying trends and systemic risks.</li> <li style="margin:0 0 6px;">Develop automation and remediation solutions using scripting languages like PowerShell, Python, or Bash.</li> <li style="margin:0 0 6px;">Mentor and coach 1st- and 2nd-level teams, providing guidance during outages and high-severity incidents.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li> <li style="margin:0 0 6px;">Minimum of <strong style="font-weight:700;">5 years of hands-on experience</strong> supporting and engineering desktop and endpoint infrastructure.</li> <li style="margin:0 0 6px;">Proven experience operating as a 3rd level escalation engineer.</li> <li style="margin:0 0 6px;">Strong expertise in Windows internals within corporate environments and advanced OS troubleshooting (BSODs, drivers, updates, performance issues).</li> <li style="margin:0 0 6px;">Proficiency with Enterprise Endpoint Management platforms such as Intune, ConfigMgr, KACE, or Altiris.</li> <li style="margin:0 0 6px;">Excellent analytical, communication, and stakeholder management skills.</li> <li style="margin:0 0 6px;">Demonstrated strong sense of ownership, accountability, and customer focus.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Microsoft 365 Certified: Endpoint Administrator Associate (MD102).</li> <li style="margin:0 0 6px;">Experience querying and analyzing data using SQL, PromQL, or LogQL.</li> <li style="margin:0 0 6px;">Advanced scripting skills, particularly with PowerShell, Python, or Bash.</li> <li style="margin:0 0 6px;">Experience building or enhancing endpoint reliability or telemetry platforms (*, Grafana, Telegraf, Open Telemetry Collector).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Working at Agoda</h3> <p style="margin:0 0 12px; ************;">Joining Agoda means working on global-scale endpoint environments where your contributions have direct impact. This role offers the opportunity to operate as a true L3 engineering authority, influencing tooling, standards, automation, and architectural decisions. You will collaborate with engineers in a diverse, international environment, contributing to a highly resilient IT infrastructure.</p>

<p>Job Description: Senior Developer (Vue.js) Position Overview We are seeking an experienced Senior Developer (Vue.js) to design, develop, and deliver scalable, high-performance web applications. The ideal candidate will have strong expertise in Vue.js , modern software development practices, and backend technologies. This role requires close collaboration with cross-functional teams, mentoring junior developers, and contributing to the architecture and continuous improvement of our applications. Key Responsibilities Design, develop, test, and maintain scalable and secure web applications. Build responsive, high-performance user interfaces using Vue.js . Translate business requirements into technical solutions and system designs. Develop and integrate RESTful APIs with frontend applications. Optimize application performance, scalability, and maintainability. Conduct code reviews and ensure adherence to coding standards and best practices. Mentor junior developers and provide technical guidance. Collaborate with Product, QA, UX/UI, and DevOps teams throughout the development lifecycle. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives. Contribute to CI/CD pipelines, deployment processes, and continuous improvement initiatives. Evaluate and adopt new technologies, frameworks, and development tools where appropriate.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field. Proven experience as a Senior Software Developer or in a similar role. Strong hands-on experience with Vue.js (Must Have). Proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or TypeScript . Experience with modern development frameworks and technologies such as .NET, Spring Boot, React, Angular, or Node.js . Solid understanding of software development methodologies including Agile, Scrum, or Kanban . Experience working with SQL and/or NoSQL databases. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) . Experience with version control systems such as Git or SVN . Good understanding of CI/CD pipelines , DevOps practices, and automated deployment processes. Strong experience designing, developing, and consuming RESTful APIs . Demonstrated ability to conduct code reviews and mentor development team members. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with microservices architecture. Knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with automated testing frameworks and best practices. Experience working in enterprise-scale application development environments. Skills Required: Proficiency in one or more programming languages (e.g., Java, C#, Python, JavaScript, TypeScript) Hands-on experience with modern frameworks and libraries (e.g., .NET, Spring, React, Angular, Node.js) Strong understanding of software development methodologies (Agile, Scrum, or Kanban) Experience with databases (SQL and/or NoSQL) Familiarity with cloud platforms (AWS, Azure, or GCP) Expertise in version control systems (Git, SVN) Solid understanding of CI/CD pipelines and DevOps concepts Experience in designing and consuming RESTful APIs Ability to perform code reviews and mentor team members Strong analytical and problem-solving skills Excellent communication and teamwork abilities</p>

<p>Design, build, and deploy AI/ML solutions that deliver measurable business value for products and services.</p><p>Key Performance Indicators:</p><ul><li>Deliver production-ready AI models</li><li>Improve model accuracy and reliability</li><li>Automate ML pipelines end-to-end</li><li>Ship AI features on schedule</li><li>Document and monitor model performance</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications Required</h2><ul><li>5+ years of AI/ML engineering experience</li><li>Hands-on experience with deep learning</li><li>Strong software engineering and MLOps practices</li><li>Experience deploying models to production</li><li>Bachelor s/Master s in Computer Science or related field</li></ul><h2>Qualifications</h2><ul><li>Python</li><li>PyTorch or TensorFlow</li><li>Machine learning</li><li>NLP and computer vision</li><li>MLOps (Docker, CI/CD)</li><li>Model deployment (APIs)</li><li>Data engineering and feature engineering</li><li>Problem-solving</li><li>Ownership and accountability</li><li>Cross-functional collaboration</li></ul>

<ul><li>Design, build, test, and deploy machine learning models using Pytorch, Scikit-learn, and Numpy</li><li>Collaborate with cross-functional teams to identify business problems and develop machine learning solutions</li><li>Work with large datasets to train and validate machine learning models</li><li>Optimize and fine-tune model performance to achieve desired outcomes</li><li>Stay up-to-date with industry trends and advancements in machine learning</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong proficiency in Pytorch, Scikit-learn, and Numpy</li><li>Experience with machine learning frameworks and libraries</li><li>Excellent programming skills in Python</li><li>Strong understanding of machine learning principles, including supervised and unsupervised learning</li><li>Experience working with large datasets and data preprocessing techniques</li><li>Strong problem-solving skills and attention to detail</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking a highly skilled Data Engineering &amp; Warehousing Engineer with 3 11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions. Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data. Build and maintain enterprise data warehouses, data lakes, and modern data platforms. Develop real-time and batch data processing solutions. Integrate data from multiple internal and external sources while ensuring data quality and governance. Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements. Optimize data storage, query performance, and pipeline reliability. Implement data security, monitoring, and governance best practices. Troubleshoot and resolve data pipeline and platform issues. Participate in architecture discussions and contribute to data platform modernization initiatives. Required Technical Skills Cloud Data Platforms Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub . Experience with Azure Synapse and Azure Data Factory . Experience with Amazon Redshift and AWS Glue . Data Processing &amp; Streaming Strong experience with Apache Spark and Apache Kafka . Experience building batch and real-time data processing pipelines. Data Transformation Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration. Experience implementing ETL/ELT best practices and reusable data models. Databases &amp; Data Warehousing Strong experience with Oracle or PostgreSQL . Expertise in SQL, relational database design, performance tuning, and query optimization. Data Engineering Experience with data modeling, data governance, metadata management, and data quality frameworks. Knowledge of dimensional modeling and modern data warehouse architectures. Preferred Skills Experience with cloud-native data lake and lakehouse architectures. Knowledge of CI/CD pipelines and Infrastructure as Code (IaC). Familiarity with containerization technologies such as Docker and Kubernetes. Experience supporting machine learning and analytics workloads. Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plus. Key Technology Stack Google Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/Sub Azure Data Services: Azure Synapse and Azure Data Factory AWS Data Services: Amazon Redshift and AWS Glue Data Processing: Apache Spark and Apache Kafka Data Transformation: dbt or Oracle Data Integrator (ODI) Databases: Oracle or PostgreSQL Programming: SQL and Python Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</p><p>3 11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologies.</p><p>Strong programming and scripting skills using SQL, Python, or similar languages.</p><p>Excellent analytical and problem-solving abilities.</p><p>Experience working in Agile/Scrum development environments.</p><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Ninja, a quick-commerce company, is seeking a <strong style="font-weight:700;">Senior Data and Infrastructure Engineer</strong> to join its Data Team in Riyadh, Riyadh Province. This full-time role is central to transforming the company into a truly data-driven organization. The successful candidate will design and build scalable data solutions that provide business teams with reliable, high-quality data and actionable insights.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Impact</h3> <p style="margin:0 0 12px; ************;">This position focuses on addressing complex data challenges and developing robust data platforms within an international and collaborative environment. The engineer will play a critical role in evolving the data architecture to support advanced analytics, reporting, and informed decision-making across the organization, ensuring data quality and consistency.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, develop, deploy, and maintain scalable, open-source data solutions for a rapidly growing international business.</li> <li style="margin:0 0 6px;">Build and evolve the data architecture to enable advanced analytics, reporting, and data-driven decision-making.</li> <li style="margin-0 0 6px;">Develop and optimize CDC / ETL/ELT pipelines for both batch and near real-time data processing.</li> <li style="margin:0 0 6px;">Support analytical and machine learning workflows by providing reliable and well-structured datasets.</li> <li style="margin:0 0 6px;">Integrate data from diverse sources, including transactional databases, third-party platforms, and external APIs (*, PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust).</li> <li style="margin:0 0 6px;">Collaborate with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance.</li> <li style="margin:0 0 6px;">Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open-source solutions.</li> <li style="margin:0 0 6px;">Evaluate and recommend new technologies (open source/managed), tools, and architectural approaches to enhance the data ecosystem.</li> <li style="margin:0 0 6px;">Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.</li> <li style="margin:0 0 6px;">4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops, or a related field.</li> <li style="margin:0 0 6px;">Good hands-on experience with one of the major cloud platforms, with AWS preferred.</li> <li style="margin:0 0 6px;">Expert hands-on experience with Linux tools.</li> <li style="margin:0 0 6px;">Ability to deploy applications using Docker on bare metal servers.</li> <li style="margin:0 0 6px;">Strong expertise in SQL (PSQL) and relational database concepts, including data modeling and query optimization.</li> <li style="margin:0 0 6px;">Experience designing and maintaining data warehouse architectures.</li> <li style="margin:0 0 6px;">Hands-on experience with columnar databases and performance optimization techniques.</li> <li style="margin:0 0 6px;">Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.</li> <li style="margin:0 0 6px;">Solid programming skills in Python or Java, with a preference for Python.</li> <li style="margin:0 0 6px;">Good understanding of Linux environments and scripting (Bash).</li> <li style="margin:0 0 6px;">Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.</li> <li style="margin:0 0 6px;">Experience working with S3 compatible open-source solutions and managed solutions.</li> <li style="margin:0 0 6px;">Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Additional Requirements</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong communication skills in English are essential for this role.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, offering an opportunity to work within an international and collaborative team environment. Salary details for this role are not disclosed.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">TawanTech is seeking a <strong style="font-weight:700;">Senior Data Engineer</strong> to join our team in Riyadh, Riyadh Province. This full-time role focuses on designing, developing, and optimizing scalable data platforms and pipelines specifically within the banking and financial services domain. The ideal candidate will possess strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems to build robust and secure data solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Contribution</h3> <p style="margin:0 0 12px; ************;">As a Senior Data Engineer, you will be instrumental in creating scalable data solutions that directly support critical business functions. These include regulatory reporting, risk management, customer analytics, and various business intelligence initiatives. Your work will ensure data integrity, security, and compliance across all platforms.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li> <li style="margin:0 0 6px;">Build and optimize data workflows using Apache Spark and Apache Airflow.</li> <li style="margin:0 0 6px;">Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li> <li style="margin:0 0 6px;">Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li> <li style="margin:0 0 6px;">Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li> <li style="margin:0 0 6px;">Ensure data quality, governance, security, and regulatory compliance across data platforms.</li> <li style="margin:0 0 6px;">Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li> <li style="margin:0 0 6px;">Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li> <li style="margin:0 0 6px;">Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li> <li style="margin:0 0 6px;">Support regulatory reporting, audit requirements, and data lineage initiatives.</li> <li style="margin:0 0 6px;">Mentor junior engineers and contribute to technical architecture and best practices.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Essential Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">4+ years</strong> of hands-on experience in Data Engineering.</li> <li style="margin:0 0 6px;">Strong programming skills in <strong style="font-weight:700;">Python</strong> and advanced <strong style="font-weight:700;">SQL</strong>.</li> <li style="margin:0 0 6px;">Experience with <strong style="font-weight:700;">Apache Spark</strong> for large-scale data processing and <strong style="font-weight:700;">Apache Airflow</strong> for workflow orchestration and scheduling.</li> <li style="margin:0 0 6px;">Solid understanding of Data Warehouse and Data Lake architectures.</li> <li style="margin:0 0 6px;">Proven experience building and maintaining ETL/ELT pipelines.</li> <li style="margin:0 0 6px;">Experience with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li> <li style="margin:0 0 6px;">Strong knowledge of data modeling techniques and performance optimization strategies.</li> <li style="margin:0 0 6px;">Experience implementing CI/CD pipelines and DataOps methodologies.</li> <li style="margin:0 0 6px;">Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li> <li style="margin:0 0 6px;">Excellent problem-solving, analytical, and communication skills.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Desirable Skills and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li> <li style="margin:0 0 6px;">Knowledge of financial data governance, security, and compliance standards.</li> <li style="margin:0 0 6px;">Experience with real-time and batch data processing in highly regulated environments.</li> <li style="margin:0 0 6px;">Familiarity with containerization technologies such as Docker and Kubernetes.</li> <li style="margin:0 0 6px;">Experience with data lineage, metadata management, and data quality frameworks.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Setting</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, offering an opportunity to contribute to significant data initiatives within the financial sector. Salary details will be discussed during the interview process.</p>

<b>Join Acquisit as a Digital Marketing Strategist!</b><br>We are looking for a talented individual to grow in the fast-paced field of growth marketing. You will work closely with an analyst and be guided by a senior professional to master advanced online advertising platforms such as Google Ads, Meta Ads, and TikTok Ads, as well as data management tools like Looker Studio and Big Query.<br><br><b>Responsibilities:</b><ul><li>Engage with clients to comprehend their business models and industry dynamics to assess where our expertise can significantly enhance their operations.</li><li>Craft a strategic online marketing vision along with client acquisition and retention plans.</li><li>Translate this vision into actionable tactics using thorough data research and various tools.</li><li>Present findings and strategies to clients persuasively.</li><li>Collaborate with your team to implement recommendations and tangible experiments.</li><li>Analyze performance metrics and provide impactful reports to clients.</li><li>Deliver consistent operational support to your client portfolio.</li></ul><br>As our company expands, your responsibilities will evolve, offering you the opportunity to grow along with us.<br><br><b>Qualifications:</b><br><ul><li>Minimum 4 years of experience in a consulting firm or a similar analytical role in media agencies.</li><li>Exceptional analytical capabilities.</li><li>Ability to synthesize and present complex concepts effectively.</li><li>Strong business acumen and excellent presentation skills.</li><li>Proficient in MS Excel and PowerPoint.</li><li>Fluency in English is mandatory.</li><li>Proactive, results-driven attitude with strong interpersonal skills.</li></ul><br><b>Preferred Skills:</b><ul><li>Familiarity with key industry platforms (Meta Ads, Google Ads).</li><li>Experience with BI tools (Tableau, Looker Studio, Power BI).</li><li>Knowledge of VBA, Python, or R.</li><li>Proficiency in Arabic (spoken and written).</li></ul>

<p>Discover the Opportunity We're looking for a Staff AI Software Engineer who is equally passionate about building software and elevating engineering standards. This is a 50% hands-on coding and 50% technical leadership role, where you'll work closely with the engineering team to define best practices, improve development workflows, and help shape sprint planning and technical execution.</p><p>Discover the Responsibilities</p><ul><li>Hands on: Design, build, and scale modern full-stack applications with a focus on performance, scalability, and reliability.</li><li>Provide technical leadership by mentoring engineers, conducting code reviews, and championing engineering best practices.</li><li>Define coding standards, software architecture, and development processes that improve quality and consistency across the engineering team.</li><li>Partner with Product Managers and Engineering Leadership to shape sprint planning, break down technical initiatives, estimate work, and improve delivery.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ years of experience in software engineering, with experience operating at Staff, Principal, or Technical Lead level.</li><li>Strong commercial experience with Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC).</li><li>Strong full-stack development experience using React, Next.js, TypeScript, and modern frontend technologies.</li><li>Experience designing and building distributed, microservices-based architectures.</li><li>Experience building and consuming REST APIs and event-driven systems.</li><li>Experience working with PostgreSQL and/or MongoDB.</li><li>Experience with Docker, containerisation, Git, CI/CD pipelines, and cloud-native development.</li><li>Strong understanding of software architecture, design patterns, scalability, and system performance.</li><li>Experience mentoring engineers and influencing technical direction across multiple teams.</li><li>Excellent communication and stakeholder management skills.</li><li>Experience building AI-native products or integrating LLMs into production systems.</li><li>Hands on experience with RAG, AI agents, vector databases, LangChain, LangGraph, MCP, or similar AI frameworks.</li><li>Experience with Python and FastAPI for AI services.</li><li>Experience working in high-growth startups or scaling technology businesses.</li><li>Exposure to cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Experience working with AI coding assistants such as Claude, Codex, Cursor, or GitHub Copilot.</li><li>Comfortable working in a fast paced startup environment with a high degree of ownership.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overview We are seeking an experienced and dynamic Manager Transport Advisory and Planning to lead and deliver transport planning, mobility strategy, and advisory projects. The role involves managing multidisciplinary teams, overseeing transport modelling and analysis, and providing strategic insights to clients across public and private sectors. The ideal candidate will bring strong technical expertise, leadership skills, and consulting experience in transport planning.</p><p>Your role</p><ul><li>Lead transport advisory and planning projects from inception to delivery</li><li>Develop and review transport strategies, mobility plans, and policy frameworks</li><li>Oversee transport modelling activities, including network development, demand forecasting, and scenario analysis</li><li>Guide GIS-based spatial analysis and data-driven transport planning solutions</li><li>Manage data collection, validation, and analysis for traffic and mobility studies</li><li>Provide technical expertise in urban mobility, traffic engineering, and multi-modal transport systems</li><li>Prepare and review technical reports, proposals, and client presentations</li><li>Engage with clients, stakeholders, and government authorities to support project objectives</li><li>Mentor and manage junior staff, interns, and consultants</li><li>Support business development through proposal writing, bid management, and client acquisition</li><li>Ensure project delivery within timelines, budget, and quality standards</li></ul><p>Rewards &amp; benefits</p><p>Explore the rewards and benefits that help you thrive at every stage of your life and your career. This includes:</p><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Civil Engineering, Transport Planning, Urban Planning, or related field</li><li>5 8+ years of relevant experience in transport planning or consultancy</li><li>Strong expertise in transport planning principles, traffic engineering, and mobility systems</li><li>Experience in transport modelling tools (VISUM, Vissim, Aimsun, or equivalent)</li><li>Proficiency in GIS tools (ArcGIS/QGIS)</li><li>Strong analytical, problem-solving, and critical thinking skills</li><li>Preferred Experience in large-scale urban mobility or infrastructure projects</li><li>Knowledge of sustainable transport and smart city initiatives</li><li>Familiarity with programming languages (Python, R, Matlab) for data analysis</li><li>Experience working with public sector clients or international projects</li></ul><p></p></section>

<p>About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data including bookings, customer, pricing, supplier, and revenue data to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing.</p><p>You ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success.</p><p>The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.</p><p>Responsibilities:</p><p>Data Exploration &amp; Analysis - Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights. - Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</p><p>Insight Generation &amp; Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results &amp; achieve regular success</p><p>Data Product Support &amp; Continuous Improvement - Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions - Help shape KPIs, reporting metrics, and dashboards aligned with business goals. - Proactively suggest opportunities for optimization and process improvement using data insights. - Stay up to date with industry trends and analytics tools to enhance analytical capabilities</p><p>Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders.</p><p>Advanced Analytics &amp; Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</p><p>Collaboration &amp; Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s or Master s degree in STEM, Business Analytics, or related field.</p><p>5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.</p><p>Proficiency in SQL, Python or R, and advanced Excel.</p><p>Strong experience in Commercial, Digital Products or Data Analytics practices.</p><p>Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.</p><p>Excellent stakeholder management and communication skills; English fluency.</p><p>Experience building and deploying machine learning models e.g. Pricing &amp; Margin Optimization, Forecasting, Recommendations, Mapping etc.</p><p>Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Quality Assurance Engineer within the Product Engineering &amp; Technology (PET) division, you will uphold the uncompromising quality assurance standards for high-assurance, real-time digital platforms. </p> <p>Operating within a high-maturity Secure Software Development Life Cycle (SSDLC), you will independently architect and execute rigorous automated test strategies. This role requires navigating a strategic architectural transition: ensuring the resilience of our interim cloud-native systems (GCP) while dedicating most of your focus to our permanent, fully air-gapped on-premises sovereign infrastructure. </p> <p>This role demands a high level of autonomous, authoritative contribution, focusing on the development of automated regression frameworks to validate data integrity, cryptographic operations, and real-time synchronisation logic in strict compliance with NCA regulations and enterprise standards.</p> <p> <br> </p> <p> <strong>Responsibilities</strong>:</p> <p> <span> </span> <strong>Test Architecture &amp; Automation Engineering</strong> </p> <p> <span> </span>Architect, engineer, and mandate comprehensive automated test suites (Unit, Integration, End-to-End) from scratch using Python or Go, specifically targeting complex backend logic (FastAPI) and reactive front-end states (Vue.js), moving entirely beyond manual testing.</p> <p> <span> </span>Enforce zero-defect tolerance for both cloud-deployed microservices and future on-premises monolithic appliances.</p> <p> <span> </span> <strong>Hybrid &amp; Sovereign Systems Validation</strong> </p> <p> <span> </span>Validate the reliability and performance of real-time communication protocols (e.g., WebSockets, gRPC) and RESTful APls across both interim Google Cloud environments and the target bare-metal sovereign infrastructure.</p> <p> <span> </span>Ensure strict data consistency and cryptographic integrity across distributed, high-availability systems deployed in ephemeral container environments using Docker and Kubernetes setups, regardless of the underlying hosting environment.</p> <p> <span> </span> <strong>Quality Governance &amp; Cl/CD Ownership</strong> </p> <p> Integrate automated smoke and regression tests into the Gitlab Cl/CD pipeline, ensuring rapid feedback loops.</p> <p> <span> </span>Act as the final technical gatekeeper for application-level security and code quality, explicitly enforcing strict Secure Software Development Life Cycle (SSDLC) protocols, comprehensive OWASP standards, and NCA Essential Cybersecurity Controls (ECC) as they pertain to software vulnerabilities.</p> <p> <span> </span>Validate secure data handling and cryptographic state logic through SAST/DAST integrations, definitively blocking deployments that fail to meet strict technical debt limits or security thresholds.</p> <p> <br> </p>","<b>requirements</b>":"<p>Bachelor's degree in Computing, Engineering, or a comparable technical qualification. </p> <p>5+ Years of dedicated, hands-on experience in software QA and test automation engineering.</p> <p> <br> </p> <p> <strong>Skills</strong>:</p> <p> <span> </span>System Testing (NICE SP-SYS-004)</p> <p>o<span> </span>Skill in architecting and conducting rigorous automated test events to verify system performance, cryptographic integrity, and security postures across both cloud and sovereign environments.</p> <p> <span> </span>Testing (SFIA TEST Level 4)</p> <p>o<span> </span>Takes responsibility for the design, execution, and continuous integration of automated test conditions and cases.</p> <p>o<span> </span>Autonomously establishes robust test environments and complex data sets to validate distributed systems and microservice architectures.</p> <p> <span> </span>Automation Stack</p> <p>o<span> </span>Proficiency in Python (PyTest, Robot Framework) or Go for automation. Experience with Selenium/Playwright for frontend testing.</p> <p> <span> </span>Technology Context</p> <p>o<span> </span>Deep expertise in testing Vue.js frontends and FastAPI backends, alongside hands-on familiarity with Docker and Gitlab Cl.</p> <p>o<span> </span>Experience navigating GCP architectures and transitioning them to on-premises Kubernetes clusters.</p> <p> <span> </span>Security Validation</p> <p>o<span> </span>Comprehensive understanding of OWASP Top 10, SSDLC governance, and advanced security testing principles.</p> <p>o<span> </span>Ability to verify system performance and application-layer security.</p> <p> <span> </span>Analytical Precision</p> <p>o<span> </span>Ability to isolate complex bugs in distributed systems and provide detailed steps to reproduce.</p> <p><br></p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Define and drive the enterprise AI and automation road map aligned with business priorities</p><p>Identify and prioritise high-value AI and digital use cases across operations and support functions</p><p>Design and deploy practical solutions (e.g., predictive analytic, automation, IOT-enabled systems)</p><p>Build and test MVP's and pilots, then scale successful initiatives across the organisation</p><p>Partner with internal teams and external stakeholders (technology providers, startups, academia)</p><p>Act as a bridge between technical solutions and business needs, ensuring adoption and execution</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong expertise in artificial intelligence and its applications in the FM-CG industry.</li><li>Experience in AI, automation, digital transformation, or Industry 4.0</li><li>Proven experience in developing and implementing AI strategies within a business context.</li><li>Strong hands-on experience with AI/ML, data analytic, and Python-based development</li><li>Proficiency in managing cross-functional teams and fostering collaboration.</li><li>Strong understanding of data architecture, IOT systems, and enterprise platforms</li><li>Ability to stay updated on the latest developments in AI and industry trends.</li></ul><p></p></section>

<p><h4>Minimum qualifications:</h4> <p><strong>Bachelor's degree in Computer Science or equivalent practical experience.</strong><br> 5 years of experience in project management and technical solution delivery.<br> Experience with architecture, developing, and maintaining technical solutions in virtualization or cloud environments.<br> Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments (e.g., Networking, DevOps/SRE, Security, Compute, Storage, Kubernetes).</p> <h4>Preferred qualifications:</h4> <p>Experience working with channel partners, systems integrators, and third-party developers to deliver successful solutions.<br> Experience with deployment and orchestration technologies (e.g., Docker, Kubernetes, Ansible, etc).<br> Experience in deploying distributed data processing systems in one or more of the following: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, etc.<br> Experience in systems design with an ability to architect or explain complex systems interactions including data flows, common interfaces, APIs, etc.<br> Experience with reading software code in one or more languages (e.g., Java, JavaScript, or Python).<br> Ability to communicate in English and Arabic fluently to support client relationship management in this region.</p></p><p></p>