Jobs For Faculty Of Engineering Graduates in Saudi
17947 Jobs Found
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<p ><span >Job Description </span></p>
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<p ><strong><span >OVERVIEW</span></strong></p>
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<p ><strong><span >Job Title</span></strong></p>
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<p ><span >Consultant</span></p>
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<p ><strong><span >Job Code</span></strong></p>
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<p ><span >701628</span></p>
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<p ><strong><span >Grade</span></strong></p>
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<p ><span >I3</span></p>
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<p ><strong><span >Group</span></strong></p>
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<p ><span >Government Products </span></p>
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<p ><strong><span >Division</span></strong></p>
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<p ><span >Technology Division</span></p>
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<p ><strong><span >Department</span></strong></p>
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<p ><span >System Design & BI</span></p>
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<p ><strong><span >Unit</span></strong></p>
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<p ><span >Data & Analytics</span></p>
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<p ><strong><span >ROLE PURPOSE</span></strong></p>
<p ><em><span >The aim is to state the overall significance of the job from the organization’s perspective.</span></em></p>
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<p ><span >To design, develop, maintain, and support enterprise data integration solutions that enable reliable and scalable data movement across business systems and analytical platforms. The role is responsible for developing ETL processes, managing data pipelines, supporting reporting and analytics requirements, and ensuring operational continuity of critical data integration services while maintaining data quality, availability, and performance across the enterprise data ecosystem. </span></p>
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<p ><strong><span >KEY ACCOUNTABILITIES & ACTIVITIES</span></strong></p>
<p ><em><span >This section describes <u>the principal outputs</u> required from the job.</span></em></p>
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<p ><strong><span >Key Accountabilities</span></strong></p>
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<p ><strong><span >Key Activities</span></strong></p>
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<li ><span >ETL Development & Enhancement</span></li>
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<li ><span >Design, develop, and maintain ETL processes to support enterprise reporting and analytics requirements.</span></li>
<li ><span >Develop scalable and reusable data integration components and workflows.</span></li>
<li ><span >Implement enhancements to existing ETL solutions to improve performance and reliability.</span></li>
<li ><span >Ensure ETL solutions comply with established data engineering standards and practices.</span></li>
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<li ><span >Data Integration Management</span></li>
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<li ><span >Develop and maintain integrations between enterprise applications, databases, external sources, and analytical platforms.</span></li>
<li ><span >Support data exchange requirements across multiple systems and business functions.</span></li>
<li ><span >Ensure reliable movement and transformation of data across integration environments.</span></li>
<li ><span >Troubleshoot and resolve integration-related issues and failures.</span></li>
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<li ><span >Data Pipeline Operations</span></li>
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<li ><span >Monitor, support, and maintain production data pipelines and scheduled processing jobs.</span></li>
<li ><span >Ensure timely execution and completion of critical data processing activities.</span></li>
<li ><span >Investigate operational incidents affecting data pipelines and implement corrective actions.</span></li>
<li ><span >Support operational continuity and service availability requirements.</span></li>
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<li ><span >Data Quality & Validation</span></li>
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<li ><span >Implement validation controls and data quality checks throughout data integration processes.</span></li>
<li ><span >Identify and resolve data inconsistencies, anomalies, and processing issues.</span></li>
<li ><span >Support initiatives aimed at improving data accuracy, completeness, and consistency.</span></li>
<li ><span >Collaborate with stakeholders to address data quality concerns.</span></li>
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<li ><span >Data Modeling & Database Support</span></li>
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<li ><span >Support the design and maintenance of data models that satisfy reporting and analytical requirements.</span></li>
<li ><span >Develop and optimize database queries, views, and supporting structures.</span></li>
<li ><span >Ensure database performance and scalability requirements are achieved.</span></li>
<li ><span >Contribute to enterprise data architecture initiatives when required.</span></li>
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<li ><span >Analytics & Reporting Enablement</span></li>
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<li ><span >Support business intelligence and reporting initiatives through trusted and accessible data sources.</span></li>
<li ><span >Prepare and maintain datasets required for dashboards, analytics, and business reporting.</span></li>
<li ><span >Collaborate with analysts and reporting teams to understand data requirements.</span></li>
<li ><span >Ensure data availability supports timely business decision-making.</span></li>
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<li ><span >Stakeholder Engagement & Requirements Support</span></li>
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<li ><span >Work closely with business users, analysts, and technology teams to understand integration requirements.</span></li>
<li ><span >Translate business requirements into technical data solutions.</span></li>
<li ><span >Support project teams through technical expertise in data integration and engineering.</span></li>
<li ><span >Provide ongoing support for data-related requests and enhancements.</span></li>
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<li ><span >Continuous Improvement & Automation</span></li>
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<li ><span >Identify opportunities to automate manual data integration and processing activities.</span></li>
<li ><span >Improve efficiency, reliability, and maintainability of data engineering solutions.</span></li>
<li ><span >Support adoption of best practices, development standards, and emerging technologies.</span></li>
<li ><span >Contribute to continuous improvement initiatives across the Data & Analytics function.</span></li>
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<li ><span >Policies, Processes & Procedures</span></li>
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<li ><span >Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li>
<li ><span >Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.</span></li>
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<li ><span >Information Security</span></li>
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<li ><span >Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.</span></li>
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<p ><strong><span >JOB SPECIFICATIONS</span></strong></p>
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<p ><strong><span >Academic and professional qualifications</span></strong></p>
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<li ><span >Bachelor’s Degree in Computer Science, Information Systems, Information Technology, Data Engineering, Software Engineering, or a related discipline.</span></li>
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<p ><strong><span >Years and Nature of Experience</span></strong></p>
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<li ><span >4–6 years of experience in Data Engineering, ETL Development, Data Integration, Data Warehousing, Business Intelligence, or related domains.</span></li>
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Role Description This full-time, on-site Maintenance Technician role is based in Jeddah and is responsible for ensuring the reliable operation of equipment and systems across Arabian Dyar | الديار العربية facilities. The Maintenance Technician performs routine inspections, diagnoses issues, and completes repairs to minimize downtime and support safe operations. Daily activities include executing scheduled preventive maintenance, responding to maintenance requests, documenting work performed, and collaborating with operations and safety teams. The role also involves coordinating with external service providers when needed, maintaining tools and spare parts inventory, and following all health, safety, and environmental procedures.<br>Qualifications<br> Strong equipment maintenance skills, including routine servicing and monitoring of performance. Proficiency in troubleshooting and diagnosing mechanical, electrical, or structural faults. Experience with preventive maintenance practices to reduce breakdowns and extend equipment life. Solid background in maintenance & repair across building systems or facility infrastructure. Knowledge of industrial maintenance standards and safe work practices. Ability to read and interpret technical manuals, diagrams, and maintenance documentation. Relevant technical diploma or vocational training in maintenance, engineering, or a related field. Effective communication skills and the ability to work collaboratively with cross-functional teams. Attention to detail, reliability, and willingness to work shifts or extended hours as operationally required
The Technical Engineering Clerk provides administrative and clerical support to the Department Head, ensuring efficient office operations, accurate documentation, coordination of schedules, and timely processing of administrative tasks. The role requires strong organizational, communication, and computer skills, with English proficiency as a mandatory requirement.<br> Provide clerical and administrative support to the Department Head. Maintain timekeeping, filing systems, and employee records. Process leave requests, expense reimbursements, vendor payments, gate passes, and other administrative transactions. Prepare reports, letters, meeting minutes, and routine correspondence. Manage calendars, schedule meetings, appointments, and travel arrangements. Handle incoming calls, visitors, emails, and correspondence. Review, edit, and format documents as required. Maintain office supplies, office equipment, and administrative procedures. Coordinate communication between the Department Head, staff, and external stakeholders. Perform other administrative duties assigned by the Department Head.<br><br>Requirements<br><br>Diploma in Business Administration, Office Administration, Secretarial Studies, Accounting, Management Information Systems (MIS), or Marketing. 5-8 years of relevant administrative or clerical experience. Proficiency in English (mandatory). Proficiency in Microsoft Office applications. Strong organizational and time management skills. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle multiple tasks efficiently. Strong document management and administrative coordination skills.
<h3 >About Qualcomm and the Opportunity</h3>
<p >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 >Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 >Role Overview</h3>
<p >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 >Key Responsibilities</h3>
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<li >Improve and optimize key Deep Learning models on Qualcomm AI 100.</li>
<li >Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li>
<li >Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li>
<li >Develop software tools and an ecosystem around the AI SW Stack.</li>
<li >Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li>
<li >Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li>
<li >Optimize the entire deep learning pipeline, including graph compiler integration.</li>
<li >Apply knowledge of software engineering best practices.</li>
</ul> <h3 >Required Qualifications and Experience</h3>
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<li >5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li>
<li >Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li>
<li >Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li>
<li >Strong analytical skills and a proven ability to collaborate effectively across teams.</li>
<li >Experience mentoring and guiding other engineers through practical example.</li>
<li >Proficiency with Deep Learning models, frameworks, and optimization techniques.</li>
<li >Familiarity with open-source contributions and building software ecosystems around AI stacks.</li>
<li >Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li>
<li >Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li>
<li >Adherence to software engineering best practices.</li>
</ul> <h3 >Compensation Structure</h3>
<p >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 >Join Our Team</h3>
<p >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>
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>About The Role<br><br>You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br><br>Responsibilities:<br><br>Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem Build a reproducible Docker environment with pinned dependencies Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix Write an instruction.md that reads like a Jira ticket a developer would receive Write a reference solve.sh proving the task is solvable Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time Iterate based on feedback from expert QA reviewers Later: review other authors' tasks as a QA reviewer<br><br>Not in scope<br><br>Data labeling, prompt engineering Production code to ship — you design problems and verification for AI agents Leetcode puzzles — scenarios must look like real developer work Not every candidate task ships — quality over quantity<br><br>Requirements<br><br>3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth Python + pytest fluency — required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it English — B2+ written<br><br>Not a fit<br><br>Data Science, ML, or Computer Vision engineers without backend-engineering output Manual QA testers without automation or test authoring Frontend-only, low-code / no-code, IT Support, or Business Analysts Engineers who have never written pytest from scratch Junior, intern, or assistant as the most recent role<br><br>Preferred Qualifications<br><br>Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (Num Py / PyTorch / Sci Py), Dev Ops, or Git internals Modern Python tooling (uv, poetry, pyproject.toml) Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov) Fuzzing or property-based testing (Hypothesis) Prior contribution to agent-evaluation benchmarks or related frameworks<br><br>Process<br><br>Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br><br>Time commitment<br><br>Onboarding: :10 hours per first task Steady state: :5 hours per task, 2-4 parallel tasks per author Realistic weekly load: 8-20 hours. Higher volume available for top performers You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria<br><br>Compensation:<br><br>Paid contributions, rates up to $35/hour*Task-based compensation equivalent to hourly rate, depending on performance and volume Some projects include incentive payments Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project<br><br>Apply<br><br>Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a Git Hub profile link if available.
Job Sope:<br>As Electrical Maintenance Engineering Supervisor, you will be leading a team of Electrical Maintenance Engineers, QA/QC Engineers and Planners to drive the implementation of Power Systems maintenance strategy.<br>Key Responsibilities:<br>Provide technical guidance and support to electrical maintenance teams and other departments pertaining to the maintenance of all electrical equipment including steam turbine generators, emergency diesel generators, transformers, 480V to 230k V switchgear, UPS and battery chargers, HV and LV VSD and motors to ensure high plant availability and equipment integrity. Mentor and guide the team (electrical maintenance personnel and contractors) in execution of electrical maintenance and lead personnel qualification, certification and accreditation initiatives. Provide good documentation to ensure all equipment technical records and drawings are updated to reflect the latest changes, maintenance history and PM reports are uploaded, configuration and software changes to electrical equipment are documented, archived, and backed up. Be the department's Safety Champion by fostering safety culture and ensuring that safety measures are embedded in all electrical equipment, procedures and tasks. Prepare regular reports on electrical system performance, maintenance KPIs and departmental metrics. Prepare job specifications and costing for out-sourced maintenance activities, technically evaluate vendors and contractors, participate in contracts review and highlight opportunities for contracts optimization. Propose and implement innovative ideas in productivity (Wrench Time), efficiency, sustainability, and digitalization through analyzing and evaluating maintenance KPI data. Lead incident investigations, RCAs and investigate and analyze CM work orders to identify the true causes of defects. Constantly engage with Area Maintenance Foremen, original equipment manufacturers, vendors to modify the maintenance Work Instructions as recommended/required by Field Maintenance personnel. Review electrical maintenance plan and highlight potential constraints for PM jobs execution, review PM deferment requests and participate in Turnaround scope development. Witness the commissioning and testing of electrical equipment and lead electrical site functional tests and sign-off. Participate in Pre-Startup Safety Reviews (PSSR), substations energization and handover.<br>Minimum Requirements:<br>Bachelor's Degree in Electrical Engineering A minimum of 10 years of relevant experience in Maintenance in oil & gas, petrochemical or related industries with 3-5 years in supervisory role. Knowledge in international and local standards such as IEEE, IEC, NFPA and Grid Code is an advantage. Proven ability to diagnose and troubleshoot equipment failures and knowledge of field testing requirements for new installations. SAP Knowledge in Maintenance Module. Excellent communication, analytical, problem-solving, and troubleshooting skills. Self-motivated with a strong commitment to teamwork and collaboration with other stakeholders.
<p>As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.</li><li>Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Cloud Composer(Airflow)</li><li>Building distributed systems and data stores</li><li>Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration</li><li>Configuration of Google Cloud Platform services</li><li>Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.</li><li>Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.</li><li>Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.</li><li>Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.</li><li>Stay updated on emerging technologies and best practices in data engineering, including cloudnative solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.</li><li>Solid knowledge of Google s BigQuery for effective data processing</li><li>Proposing and implementing repetitive tasks automation.</li><li>Providing support for development teams in deployment-related topics.</li><li>Modernizing data lakes and data warehouses</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Computer Science, IT, or similar field; a Master s is a plus. Previous experience as a data engineer or in a similar role. Google Cloud Platform is preferrable. Technical expertise with data models, data mining, and segmentation techniques. Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases. Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery). Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast paced environment and manage multiple priorities. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross functional teams and stakeholders. Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus.</p>
<h3 >About the Role</h3>
<p >Maveric Systems is seeking a highly experienced <strong >Enterprise Release Engineering Architect</strong> to establish and lead its enterprise-wide Release Management capability. This full-time strategic leadership role is based in Riyadh, Saudi Arabia, and focuses on defining the release management vision, operating model, governance, standards, and tooling. The successful candidate will be responsible for building and leading a high-performing execution team, transforming release management into a predictable, automated, and risk-driven capability that enables frequent, reliable, and business-aligned software delivery across diverse technology platforms, applications, cloud environments, and engineering teams.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Define and implement the enterprise Release Management strategy, aligning it with business and technology objectives.</li>
<li >Establish standardized release governance, policies, standards, controls, workflows, and approval mechanisms across all application portfolios.</li>
<li >Develop enterprise release calendars and planning frameworks, ensuring a holistic approach to environments, DevSecOps pipelines, and project releases.</li>
<li >Design the organizational structure for the Enterprise Release Management Office, recruiting, mentoring, and developing a team of Release Managers, Coordinators, and Deployment Engineers.</li>
<li >Lead the planning and execution of enterprise-wide releases, coordinating cross-functional activities and managing readiness assessments.</li>
<li >Conduct Go/No-Go governance meetings, ensure completion of deployment checklists, and coordinate rollback planning and production readiness.</li>
<li >Establish release governance forums, executive reporting, and identify release risks, dependencies, and mitigation strategies.</li>
<li >Drive release automation initiatives across CI/CD pipelines, collaborating with DevSecOps teams to improve deployment maturity and reduce manual intervention.</li>
<li >Partner with Engineering Leadership, Product Management, Enterprise Architecture, Infrastructure & Cloud Teams, DevSecOps, Information Security, Testing & Quality Engineering, Service Management, and Business Leadership.</li>
</ul> <h3 >Required Experience and Competencies</h3>
<ul >
<li ><strong >Experience:</strong> 18+ years in Enterprise IT, with a minimum of 5 years leading enterprise Release Management. Proven experience establishing Release Management functions from the ground up and leading releases across large-scale, multi-application environments. Experience with Agile, DevOps, and traditional delivery models is required. Experience in regulated industries such as Banking, Financial Services, or Insurance is highly desirable.</li>
<li ><strong >Consulting & Leadership:</strong> Strong consulting skills and executive presence, with the ability to present solutions to complex enterprise challenges at the CXO level. Proven experience managing geographically distributed engineering teams.</li>
<li ><strong >Competencies:</strong> Strategic thinking with the ability to define enterprise operating models. Demonstrated experience building and scaling high-performing teams. Strong executive communication and stakeholder management skills. Excellent planning, governance, decision-making, analytical, and problem-solving abilities. Capacity to influence without direct authority and maintain composure during critical production events.</li>
</ul> <h3 >Success Measures (Within First 3 Months)</h3>
<ul >
<li >Establish an enterprise-wide Release Management framework.</li>
<li >Build and operationalize the Enterprise Release Management Office.</li>
<li >Standardize release governance across all technology platforms.</li>
<li >Increase deployment success rates while reducing release-related incidents.</li>
<li >Improve release predictability and deployment frequency.</li>
<li >Reduce manual release effort through automation.</li>
<li >Deliver executive dashboards for release health, risks, and KPIs.</li>
<li >Drive measurable improvements in release maturity across the organization.</li>
</ul> <h3 >Preferred Certifications</h3>
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<li >ITIL 4 Foundation / Managing Professional</li>
<li >SAFe Release Train Engineer (RTE)</li>
<li >PMP or PRINCE2</li>
<li >Certified Scrum Master (CSM) or equivalent Agile certification</li>
<li >Azure DevOps, AWS, or OCI certifications (preferred)</li>
<li >DevOps Institute certifications (preferred)</li>
</ul> <h3 >Application Process</h3>
<p >Interested candidates are invited to submit their applications for this full-time position in Riyadh, Saudi Arabia. Salary details will be discussed during the interview process.</p>
Job Description<br><br>Role Purpose:<br><br>To ensure the organization has reliable, well-governed, and analytics-ready data by building and maintaining robust data pipelines and models. The role exists to make trusted data available securely and cost-effectively to support enterprise reporting, BI, and data-driven decision-making.<br><br>Key Responsibilities:<br><br>1- Enterprise Data Ingestion and Data Engineering;<br><br>Build reusable, parameterized mappings and task flows in Informatica IDMC to standardize data ingestion. Implement change data capture (CDC), idempotent loads, schema evolution, and data-quality gates. Optimize Big Query loads using partitioning, clustering, and the appropriate load-versus-stream approach. Set up version control and CI/CD pipelines for data engineering assets.<br><br>2- Data Mapping & Transformation Design;<br><br>Profile source systems and define field-level mappings and transformation rules. Specify business logic, including joins, lookups, and derivations. Define data-quality rules, exception handling, and reject criteria.<br><br>3- Orchestration, Automation & Reliability Engineering;<br><br>Parameterize task flows and configure schedules and dependencies. Implement retries, backoff, and checkpointing to ensure reliable processing. Integrate monitoring and alerting through the Ops console and Chat Ops.<br><br>4- Data Roles and Privacy management;<br><br>Define least-privilege IAM roles and service accounts for data access. Apply dataset, table, row, and column-level security and data masking. Enable audit logging and retention policies, and classify PHI/PII data.<br><br>5- Modern Data Architecture & Data Modelling;<br><br>Implement Medallion Architecture across the Bronze, Silver, and Gold layers. Develop scalable, curated data models for analytical and reporting needs. Define data quality, lineage, and governance standards for curated data. Collaborate with business and analytics teams to create trusted datasets.<br><br>6- Workload Monitoring, Performance & Cost Optimisation;<br><br>Track data freshness, job health, volumes, and anomalies. Monitor SLAs across job duration, errors, cost per TB, and slot usage. Tune Big Query performance through query optimisation and resource management. Optimize cost through storage lifecycle management, query tuning, and caching.<br><br>Skills<br><br>Data Engineering Tools: Informatica IDMC, Airflow, Apache Spark. Programming Languages: SQL, Python. Cloud Technologies: Google Cloud Platform (Big Query, IAM), Azure/AWS (optional). Visualization & BI Platforms: Power BI, Looker, Looker Studio, Tableau. Strong in Big Query (SQL, modelling, tuning). Proficient with Informatica IDMC/IICS ETL/ELT. Experience with end-to-end enterprise data pipelines using GCP and Informatica IDMC. Knowledge of Medallion Architecture. Experience building reporting-ready data marts and BI datasets. Experience supporting enterprise BI dashboards and self-service analytics is preferred. Knowledge of healthcare data (claims, providers, members). Understanding of cloud security (IAM, service accounts, private endpoints).<br><br>Education<br><br>Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related
About the Company Established in 1972, Saudico is one of the Kingdom of Saudi Arabia’s most reputable and long-standing construction companies. With over 52 years of continuous contribution to the nation’s development, Saudico has earned a Grade One classification from the Ministry of Housing and Public Works, reflecting its technical capability, financial strength, and proven performance.<br>Job Description To provide technical support in the installation, inspection, testing, and commissioning of electrical systems, ensuring that all work is carried out in accordance with approved drawings, specifications, quality requirements, and safety standards.<br>Key Responsibilities:· Assist in monitoring and executing electrical works at the site.· Review electrical drawings, shop drawings, and technical specifications.· Inspect cable trays, conduits, wiring, lighting systems, electrical panels, and distribution boards.· Ensure that electrical installations comply with approved shop drawings.· Assist in testing and commissioning electrical systems and equipment.· Coordinate with civil, architectural, and mechanical teams to prevent installation conflicts.· Prepare progress reports and maintain inspection and testing records.· Identify electrical defects and observations and follow up on corrective actions.· Assist in preparing red-line drawings and as-built drawings.· Ensure that approved electrical materials and equipment are used.· Comply with electrical safety procedures and project requirements.<br>Qualifications & Experience:· Diploma in Electrical Engineering, Electrical Technology, or a related field.· Fresh graduate or up to 5 years of relevant experience in electrical works or construction projects.· Knowledge of electrical systems, drawings, inspection procedures, and testing requirements.· Familiarity with Auto CAD and Microsoft Office.· Ability to read electrical drawings and technical specifications.<br>Required Skills· Electrical installation and inspection skills.· Ability to read electrical drawings.· Troubleshooting and problem-solving abilities.· Knowledge of electrical safety requirements.· Good coordination and communication skills.
The Associate Director, Infrastructure & Dev Ops Engineering is responsible for leading the execution, implementation, operational stability, resilience, automation, and cost optimization of Digital infrastructure and Dev Ops foundations across all Qiddiya Digital assets. This role acts as the Digital execution owner for infrastructure services, cloud environments, Dev Ops enablement, automation, observability foundations, infrastructure reliability, operational readiness, and infrastructure cost management. The role ensures that Digital infrastructure and platform services are implemented, maintained, and operated in alignment with Qiddiya enterprise cloud guidelines, cybersecurity requirements, architecture standards, compliance policies, and governance frameworks. This role does not own Qiddiya's enterprise cloud strategy, enterprise cloud governance, company-wide cloud standards, application development, or application maintenance. These responsibilities remain with the relevant central Cloud, Enterprise Architecture, Cybersecurity, and application delivery teams. Instead, this role is accountable for translating enterprise cloud and infrastructure guidelines into practical execution across Digital environments, vendors, infrastructure services, Dev Ops tooling, deployment foundations, production readiness, and platform operations. This is a senior technical leadership role requiring strong infrastructure depth, Dev Ops execution experience, vendor governance, operational ownership, and the ability to drive Restricted This document has been classified as Restricted by Samy Baili reliable, secure, scalable, automated, and cost-efficient Digital infrastructure across multiple System Integrators and delivery teams.<br><br>Key Responsibilities<br><br>Infrastructure & Platform Execution Lead the implementation and operationalization of Digital infrastructure and platform services across all Digital assets and environments Translate enterprise cloud guidelines, architecture principles, cybersecurity requirements, and governance expectations into executable Digital infrastructure plans Ensure Digital workloads are implemented in line with approved QIC technology standards, security policies, compliance requirements, and operational controls Drive consistency across Digital environments, including development, SIT, UAT, staging, pre-production, production, and hotfix environments Ensure infrastructure foundations are production-ready, secure, resilient, scalable, observable, and aligned with Digital delivery needs Work closely with the central Cloud team to ensure alignment with enterprise direction while owning Digital-level execution Ensure infrastructure decisions are documented, reviewed, controlled, and implemented through the appropriate governance channels. Dev Ops Engineering & Automation Lead the execution of Dev Ops engineering practices across Digital infrastructure and platform services Drive automation of infrastructure provisioning, environment setup, configuration management, deployment support, and operational tasks Support the adoption and governance of Infrastructure as Code, automated provisioning, controlled deployments, and auditable environment changes Partner with Dev Sec Ops teams to ensure infrastructure services are integrated into CI/CD pipelines, release governance, security gates, and deployment workflows Ensure Digital environments support faster, safer, and more predictable delivery without compromising compliance, security, or operational stability. Identify and remove infrastructure, environment, and deployment bottlenecks impacting Digital delivery teams. Drive standardization of Dev Ops practices across vendors, System Integrators, and Digital technology teams. Infrastructure Reliability & Resilience Own the reliability, resilience, stability, and operational health of Digital infrastructure and platform services Ensure high availability, disaster recovery, backup, failover, recovery, and capacity practices are implemented and tested across Digital assets. Drive the implementation of resilience requirements for mission-critical Digital journeys from an infrastructure and platform perspective Reduce infrastructure-related incidents, environment instability, deployment blockers, and operational risks Establish operational readiness criteria before go-live, including monitoring, alerting, escalation paths, runbooks, support models, backup readiness, and recovery procedures. Ensure Digital infrastructure can support business growth without compromising reliability, performance, availability, security, or cost control. Partner with application teams and vendors to support production readiness while keeping application ownership with the relevant delivery teams. Infrastructure Operations & Run Management Lead the operational management of Digital infrastructure services across all Digital products, environments, and vendors Define and enforce operational practices for environment availability, infrastructure maintenance, incident support, release support, and service continuity. Ensure clear ownership and accountability across System Integrators, vendors, internal teams, and support functions for infrastructure operations. Drive proactive issue identification, root cause analysis, corrective actions, and continuous improvement for infrastructure and platform-related issues. Ensure operational documentation, runbooks, support models, escalation paths, handover materials, and recovery procedures are complete and maintained. Act as the Digital execution owner for infrastructure operations, ensuring vendors operate under a consistent, controlled, and measurable model. Partner with ICC and operations teams to ensure infrastructure-related production issues are visible, actionable, and resolved with the right ownership Cloud Execution Alignment Ensure Digital infrastructure execution is aligned with Qiddiya enterprise cloud strategy, cloud standards, architecture guardrails, and governance requirements. Work with the central Cloud team to translate enterprise cloud direction into practical execution across Digital environments and assets. Implement approved cloud patterns, landing zone requirements, network designs, security controls, access models, and operational standards within Digital. Provide feedback to the central Cloud team on execution challenges, operational risks, cost impacts, and improvement opportunities observed across Digital. Ensure Digital cloud workloads are implemented in a secure, compliant, scalable, and cost-efficient way Avoid duplication of enterprise cloud governance by keeping the role focused on Digital execution, operationalization, and run management. Fin Ops & Cost Management Own Digital infrastructure cost visibility, optimization, and accountability. Establish and drive Fin Ops practices across Digital infrastructure services, environments, vendors, and products. Monitor infrastructure spend and ensure costs are aligned with business value, usage, capacity, and growth expectations. Drive cost optimization initiatives across compute, storage, networking, environments, observability tooling, Dev Ops tooling, and vendor-managed services. <br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field10+ years of experience with cloud engineering (Azure preferred) Understanding of IaC, monitoring and cloud security fundamentals Ability to collaborate with Dev Sec Ops and cyber stakeholders
The Associate Director, Infrastructure & Dev Ops Engineering is responsible for leading the execution, implementation, operational stability, resilience, automation, and cost optimization of Digital infrastructure and Dev Ops foundations across all Qiddiya Digital assets. This role acts as the Digital execution owner for infrastructure services, cloud environments, Dev Ops enablement, automation, observability foundations, infrastructure reliability, operational readiness, and infrastructure cost management. The role ensures that Digital infrastructure and platform services are implemented, maintained, and operated in alignment with Qiddiya enterprise cloud guidelines, cybersecurity requirements, architecture standards, compliance policies, and governance frameworks. This role does not own Qiddiya's enterprise cloud strategy, enterprise cloud governance, company-wide cloud standards, application development, or application maintenance. These responsibilities remain with the relevant central Cloud, Enterprise Architecture, Cybersecurity, and application delivery teams. Instead, this role is accountable for translating enterprise cloud and infrastructure guidelines into practical execution across Digital environments, vendors, infrastructure services, Dev Ops tooling, deployment foundations, production readiness, and platform operations. This is a senior technical leadership role requiring strong infrastructure depth, Dev Ops execution experience, vendor governance, operational ownership, and the ability to drive Restricted This document has been classified as Restricted by Samy Baili reliable, secure, scalable, automated, and cost-efficient Digital infrastructure across multiple System Integrators and delivery teams.<br><br>Key Responsibilities<br><br>Infrastructure & Platform Execution Lead the implementation and operationalization of Digital infrastructure and platform services across all Digital assets and environments Translate enterprise cloud guidelines, architecture principles, cybersecurity requirements, and governance expectations into executable Digital infrastructure plans Ensure Digital workloads are implemented in line with approved QIC technology standards, security policies, compliance requirements, and operational controls Drive consistency across Digital environments, including development, SIT, UAT, staging, pre-production, production, and hotfix environments Ensure infrastructure foundations are production-ready, secure, resilient, scalable, observable, and aligned with Digital delivery needs Work closely with the central Cloud team to ensure alignment with enterprise direction while owning Digital-level execution Ensure infrastructure decisions are documented, reviewed, controlled, and implemented through the appropriate governance channels. Dev Ops Engineering & Automation Lead the execution of Dev Ops engineering practices across Digital infrastructure and platform services Drive automation of infrastructure provisioning, environment setup, configuration management, deployment support, and operational tasks Support the adoption and governance of Infrastructure as Code, automated provisioning, controlled deployments, and auditable environment changes Partner with Dev Sec Ops teams to ensure infrastructure services are integrated into CI/CD pipelines, release governance, security gates, and deployment workflows Ensure Digital environments support faster, safer, and more predictable delivery without compromising compliance, security, or operational stability. Identify and remove infrastructure, environment, and deployment bottlenecks impacting Digital delivery teams. Drive standardization of Dev Ops practices across vendors, System Integrators, and Digital technology teams. Infrastructure Reliability & Resilience Own the reliability, resilience, stability, and operational health of Digital infrastructure and platform services Ensure high availability, disaster recovery, backup, failover, recovery, and capacity practices are implemented and tested across Digital assets. Drive the implementation of resilience requirements for mission-critical Digital journeys from an infrastructure and platform perspective Reduce infrastructure-related incidents, environment instability, deployment blockers, and operational risks Establish operational readiness criteria before go-live, including monitoring, alerting, escalation paths, runbooks, support models, backup readiness, and recovery procedures. Ensure Digital infrastructure can support business growth without compromising reliability, performance, availability, security, or cost control. Partner with application teams and vendors to support production readiness while keeping application ownership with the relevant delivery teams. Infrastructure Operations & Run Management Lead the operational management of Digital infrastructure services across all Digital products, environments, and vendors Define and enforce operational practices for environment availability, infrastructure maintenance, incident support, release support, and service continuity. Ensure clear ownership and accountability across System Integrators, vendors, internal teams, and support functions for infrastructure operations. Drive proactive issue identification, root cause analysis, corrective actions, and continuous improvement for infrastructure and platform-related issues. Ensure operational documentation, runbooks, support models, escalation paths, handover materials, and recovery procedures are complete and maintained. Act as the Digital execution owner for infrastructure operations, ensuring vendors operate under a consistent, controlled, and measurable model. Partner with ICC and operations teams to ensure infrastructure-related production issues are visible, actionable, and resolved with the right ownership Cloud Execution Alignment Ensure Digital infrastructure execution is aligned with Qiddiya enterprise cloud strategy, cloud standards, architecture guardrails, and governance requirements. Work with the central Cloud team to translate enterprise cloud direction into practical execution across Digital environments and assets. Implement approved cloud patterns, landing zone requirements, network designs, security controls, access models, and operational standards within Digital. Provide feedback to the central Cloud team on execution challenges, operational risks, cost impacts, and improvement opportunities observed across Digital. Ensure Digital cloud workloads are implemented in a secure, compliant, scalable, and cost-efficient way Avoid duplication of enterprise cloud governance by keeping the role focused on Digital execution, operationalization, and run management. Fin Ops & Cost Management Own Digital infrastructure cost visibility, optimization, and accountability. Establish and drive Fin Ops practices across Digital infrastructure services, environments, vendors, and products. Monitor infrastructure spend and ensure costs are aligned with business value, usage, capacity, and growth expectations. Drive cost optimization initiatives across compute, storage, networking, environments, observability tooling, Dev Ops tooling, and vendor-managed services. <br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field10+ years of experience with cloud engineering (Azure preferred) Understanding of IaC, monitoring and cloud security fundamentals Ability to collaborate with Dev Sec Ops and cyber stakeholders
<h3 >Faculty Position in Control and Instrumentation Engineering</h3>
<p >King Fahd University of Petroleum & Minerals (KFUPM) in Dhahran invites applications for full-time faculty positions within the Control and Instrumentation Engineering (CIE) areas. These roles are open at all academic ranks: <strong >Assistant, Associate, and Full Professor</strong>. KFUPM seeks candidates who demonstrate outstanding academic qualifications or significant industrial experience in relevant fields.</p> <h3 >Specialization Areas</h3>
<p >The department is particularly interested in candidates with expertise in the following areas:</p>
<ul >
<li >Process Modeling and Control</li>
<li >Dynamic Simulation</li>
<li >Instrumentation</li>
<li >Mechatronics</li>
<li >Robotics</li>
</ul> <h3 >Role Responsibilities</h3>
<p >Successful candidates will be expected to contribute significantly to the university's academic and research mission. Key responsibilities include:</p>
<ul >
<li >Teaching undergraduate and graduate courses.</li>
<li >Advising and mentoring students.</li>
<li >Supervising Master's (MS) and Doctoral (PhD) theses and dissertations.</li>
<li >Developing funded research programs aligned with their field of specialization.</li>
</ul>
<p >The successful candidate should demonstrate a strong commitment to quality education and active student interaction.</p> <h3 >Required Qualifications</h3>
<p >Applicants must meet the following criteria:</p>
<ul >
<li >An earned ** from a reputable institution.</li>
<li >A strong record of published research.</li>
<li >Experience in supervising the research of graduate students.</li>
<li >Relevant teaching experience at the university level.</li>
<li >Teaching and/or industrial experience in the respective areas of interest.</li>
</ul>
<p >KFUPM welcomes applications from both outstanding senior candidates and fresh graduates from all areas of specialization.</p> <h3 >Compensation and Benefits Package</h3>
<p >KFUPM offers a comprehensive benefits package for these full-time positions, including:</p>
<ul >
<li >A two-year renewable contract.</li>
<li >Competitive tax-free salaries based on qualifications and experience.</li>
<li >A free furnished, air-conditioned on-campus housing unit, including free essential utilities and maintenance.</li>
<li >Air ticket/s to Dammam upon appointment, and final repatriation air ticket/s for up to four persons.</li>
<li >Contribution towards local tuition fees for school-age dependent children, and a local transportation allowance.</li>
<li >Two months’ paid summer leave.</li>
<li >Medical insurance.</li>
<li >An end-of-service gratuity after two (2) years of continuous service.</li>
</ul> <h3 >University Environment and Resources</h3>
<p >The KFUPM campus provides a wide array of facilities designed to support faculty and their families. These include a medical and dental clinic, a health club with a swimming pool, an extensive library, advanced computing, research, and teaching laboratory facilities, a recreation center, and a private beach.</p>
<h3 >About the Role</h3>
<p >Saudi Air Navigation Services is seeking an <strong >Enterprise Platform Apps & Data Engineering Manager</strong> to join their team in Makkah, specifically covering Jeddah and Makkah cities. This is a full-time position for a professional with 5-10 years of experience, responsible for the strategic vision and delivery of ITOT directorate services.</p>
<h3 >Role Overview</h3>
<p >The Enterprise Platform Apps & Data Engineering Manager will define and execute the vision and roadmap for all existing and new services offered by the ITOT directorate. This role focuses on ensuring that solutions and requirements align with enterprise strategic needs across business processes, applications, information/data, infrastructure, and services.</p>
<h3 >Key Responsibilities</h3>
<ul >
<li >Define and deliver the vision and roadmap for all existing and new services within the ITOT directorate.</li>
<li >Manage each customer journey, including setting and achieving the organization’s shared customer-focused journey vision.</li>
<li >Identify solutions and analyze requirements prior to acquisition or creation.</li>
<li >Ensure solutions align with enterprise strategic requirements covering business processes, applications, information/data, infrastructure, and services.</li>
<li >Operate within established KPIs, agreed budgets, and adopted policies and procedures.</li>
</ul>
<h3 >Qualifications and Experience</h3>
<ul >
<li >A minimum of <strong >5 to 10 years</strong> of relevant professional experience.</li>
<li >Demonstrated ability to define and execute strategic roadmaps for IT services.</li>
<li >Experience in managing customer journeys and aligning solutions with enterprise strategies.</li>
</ul>
<h3 >Work Environment</h3>
<p >This is a full-time position based in the Makkah region, with responsibilities spanning Jeddah and Makkah cities. The role operates within the Saudi Air Navigation Services organization.</p>
<h3 >Application Process</h3>
<p >Interested candidates who meet the qualifications are encouraged to apply. Salary details will be discussed during the interview process.</p>
<h3 >About the Role</h3>
<p >Saudi Air Navigation Services is seeking an <strong >Enterprise Platform Apps & Data Engineering Manager</strong> to join their team in Makkah, specifically covering Jeddah and Makkah cities. This is a full-time position for a professional with 5-10 years of experience, responsible for the strategic vision and delivery of ITOT directorate services.</p>
<h3 >Role Overview</h3>
<p >The Enterprise Platform Apps & Data Engineering Manager will define and execute the vision and roadmap for all existing and new services offered by the ITOT directorate. This role focuses on ensuring that solutions and requirements align with enterprise strategic needs across business processes, applications, information/data, infrastructure, and services.</p>
<h3 >Key Responsibilities</h3>
<ul >
<li >Define and deliver the vision and roadmap for all existing and new services within the ITOT directorate.</li>
<li >Manage each customer journey, including setting and achieving the organization’s shared customer-focused journey vision.</li>
<li >Identify solutions and analyze requirements prior to acquisition or creation.</li>
<li >Ensure solutions align with enterprise strategic requirements covering business processes, applications, information/data, infrastructure, and services.</li>
<li >Operate within established KPIs, agreed budgets, and adopted policies and procedures.</li>
</ul>
<h3 >Qualifications and Experience</h3>
<ul >
<li >A minimum of <strong >5 to 10 years</strong> of relevant professional experience.</li>
<li >Demonstrated ability to define and execute strategic roadmaps for IT services.</li>
<li >Experience in managing customer journeys and aligning solutions with enterprise strategies.</li>
</ul>
<h3 >Work Environment</h3>
<p >This is a full-time position based in the Makkah region, with responsibilities spanning Jeddah and Makkah cities. The role operates within the Saudi Air Navigation Services organization.</p>
<h3 >Application Process</h3>
<p >Interested candidates who meet the qualifications are encouraged to apply. Salary details will be discussed during the interview process.</p>
<div dir="rtl"><h3 >About the Role</h3>
<p >كيلوج براون اند روت is seeking a <strong >Sr. Project Manager - Engineering</strong> to take bottom-line responsibility for the financial and technical success of projects. This full-time role involves managing all phases of project planning and execution, primarily for very large projects, typically valued at less than $500 million in total installed cost. The position operates with general autonomy and may also involve managing multiple smaller projects.</p>
<h3 >Key Responsibilities</h3>
<ul >
<li >Plan, organize, coordinate, and control domestic and international projects in adherence to company policies, procedures, systems, and approved requirements.</li>
<li >Maintain day-to-day contact and communication with clients, focusing on ensuring client satisfaction.</li>
<li >Supervise project personnel through subordinate leaders, ensuring effective team performance.</li>
<li >Manage and oversee contract performance for assigned projects.</li>
<li >Potentially serve as the proposal manager for major domestic and international project proposals.</li>
</ul>
<h3 >Project Scope and Accountability</h3>
<p >The Sr. Project Manager is independently accountable for a major profit/loss center. The role encompasses comprehensive oversight from project initiation through completion, ensuring adherence to financial and technical objectives. This includes managing projects that can be very large in scale, requiring a strong understanding of project lifecycle management and industry best practices.</p>
<h3 >Required Qualifications and Experience</h3>
<ul >
<li >A minimum of <strong >10+ years of relevant experience</strong> in project management within the engineering sector.</li>
<li >Demonstrated knowledge of the respective industry.</li>
<li >Proven ability to manage projects with significant financial and technical complexity.</li>
</ul>
<h3 >Skills and Attributes</h3>
<ul >
<li >Strong leadership and team supervision capabilities.</li>
<li >Excellent communication and client relationship management skills.</li>
<li >Proficiency in project planning, organization, coordination, and control.</li>
<li >Ability to manage financial and technical aspects of projects effectively.</li>
</ul>
<h3 >Work Environment</h3>
<p >This is a full-time position within كيلوج براون اند روت, offering significant autonomy in project management. The role requires a professional who can navigate complex domestic and international project environments while maintaining a focus on client satisfaction and project success.</p></div>
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>About The Role<br><br>You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br><br>Responsibilities:<br><br>Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem Build a reproducible Docker environment with pinned dependencies Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix Write an instruction.md that reads like a Jira ticket a developer would receive Write a reference solve.sh proving the task is solvable Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time Iterate based on feedback from expert QA reviewers Later: review other authors' tasks as a QA reviewer<br><br>Not in scope<br><br>Data labeling, prompt engineering Production code to ship — you design problems and verification for AI agents Leetcode puzzles — scenarios must look like real developer work Not every candidate task ships — quality over quantity<br><br>Requirements<br><br>3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth Python + pytest fluency — required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it English — B2+ written<br><br>Not a fit<br><br>Data Science, ML, or Computer Vision engineers without backend-engineering output Manual QA testers without automation or test authoring Frontend-only, low-code / no-code, IT Support, or Business Analysts Engineers who have never written pytest from scratch Junior, intern, or assistant as the most recent role<br><br>Preferred Qualifications<br><br>Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (Num Py / PyTorch / Sci Py), Dev Ops, or Git internals Modern Python tooling (uv, poetry, pyproject.toml) Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov) Fuzzing or property-based testing (Hypothesis) Prior contribution to agent-evaluation benchmarks or related frameworks<br><br>Process<br><br>Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br><br>Time commitment<br><br>Onboarding: :10 hours per first task Steady state: :5 hours per task, 2-4 parallel tasks per author Realistic weekly load: 8-20 hours. Higher volume available for top performers You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria<br><br>Compensation:<br><br>Paid contributions, rates up to $35/hour*Task-based compensation equivalent to hourly rate, depending on performance and volume Some projects include incentive payments Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project<br><br>Apply<br><br>Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a Git Hub profile link if available.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Responsibilities:</strong></p><ul><li>Strategic Thought Leadership Define the long term vision for log data acquisition, normalization, and analytics across all service lines. Publish whitepapers, best practice guides, and thought leadership content for internal and external audiences.</li><li>Enterprise Architecture & Governance Architect enterprise scale telemetry frameworks that span on premise, cloud, and OT environments.</li><li>Advisory & Client Engagement Serve as the senior technical advisor for strategic customers, presenting roadmap recommendations and risk assessments. Conduct executive level workshops and security posture reviews for tiering, identifying clients risks and delivering actionable recommendations. Evaluate and recommend emerging technologies (e.g., graph analytics, zero trust telemetry).</li><li>Performance & Quality Excellence Define KPIs for ingestion latency, data fidelity, and detection efficacy. Champion the implementation of automated quality gates and continuous improvement loops. Handle and train the team members for complex MDR integration tasks. Define operation standards, plans, guidelines and ensure team is in compliance with the defined procedure. Automate and optimize onboarding tasks.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>9+ years of experience with SIEM platforms, log engineering, and security operations.</li><li>Deep knowledge of SIEM architectures (e.g., Splunk, QRadar, Elastic, Azure Sentinel). Mastery of log formats, protocols, and data models (CEF, JSON, Syslog, OpenTelemetry). Advanced scripting/programming (Python, PowerShell, Bash, Go) and automation tools (Ansible, Terraform, Jenkins). Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, GCP).</li><li>Strong analytical, troubleshooting, and communication skills Ability to manage priorities and work cross-functionally in a fast-paced environment</li><li>CISSP, CISM, or equivalent. Vendor-specific SIEM certifications (e.g., Splunk Certified Architect). Cloud security certifications (CCSP, AWS Security Specialty)</li></ul><p></p></section>
Transguard Workforce Solutions is a leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.<br>We are currently recruiting for an Engineering Trainee- Saudization for our client to be based out of their Saudi Arabia- Dammam Office<br>Purpose-This product focused position performs established technical tasks at the sub-system and/or component level for current and future products within a given business unit or corporate area. This involves work across many steps in the product life cycle. Because of the product centered nature of this position, they are very often a central point of coordination and decision making between product line engineers, customer teams, systems engineers, purchasing, suppliers and manufacturing.<br>Responsibility- <br>Investigates product problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Main focus will include working in business processes of Product Preceding Technology (PPT), Value Package Introduction (VPI) or Current Product Support (CPS) and executing technical processes such as Engineering Standard Work (ESW), i DFMEA, Failure Incident Review Group (FIRG) while using tools such as 7-step problem solving, design review checklist and other specialized tools required to support the processes and enable high quality decision making. Obtains input from stakeholders such as technical managers, project leaders, other product and manufacturing engineers and supplier partners to deliver information and recommendations that lead to quality product decisions. Applies academic knowledge and existing experience to take action and make decisions that progress projects forward without sacrificing project quality expectations. Examples of these decisions include day to day project details, analysis or test work instruction details, coordination across discipline areas that are necessary to make quality progress. Owns problem resolution for moderately complex components, products, systems, subsystems or services with a greater degree of technical complexity and ambiguity over the entry level engineer level and with greater accountability to the project team. Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes. Involves minimal direct management of people, but could involve the coordination and direction of work amongst technicians and/or temporary student employees. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role.<br>Skills- Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Verification and Validation Management - Coordinates the development of design verification and system validation plans from a variety of inputs to identify failure modes while managing risk and relative priority; evaluates analytical and experimental test results following engineering principles to verify that products meet internal technical requirements and to validate that design solutions meet customer needs; produces recommendations with technical documentation to support product decisions. Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of products.
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation, and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are hiring for "AI Platform Engineering and MLOps/LLMOps Resident - Strong exp in NIM, Triton, NeMo, RAPIDS and GPU placement and CI/CD or Git Ops and environment promotion" for Riyadh KSA <br>Experience - 8 + Years<br>Job Summary:<br>·NIM, Triton, NeMo, and RAPIDS·Model registries and model/prompt/version traceability·CI/CD or Git Ops and environment promotion·Model evaluation, approval gates, monitoring, rollback, and retirement·RAG, embeddings, vector indexes, document processing, and retrieval evaluation·Endpoint observability, security controls, and service-level measures AI developer enablement and production-readiness coaching·Define reusable NIM and Triton deployment patterns across the H200 and L40S pools.·Establish templates for model packaging, endpoint configuration, resource requests, GPU placement, health checks, logging, metrics, security controls, and rollback.·Support controlled model customization and fine-tuning workflows using NeMo on dedicated H200 capacity.·Use RAPIDS where appropriate for GPU-accelerated data preparation, embeddings, document processing, and related pipeline stages.·Define the governed model lifecycle: experiment, register, evaluate, approve, deploy, monitor, rollback, and retire.·Establish evaluation gates for quality, grounded-answer rate, latency, concurrency, availability, safety, and operational readiness.·Define CI/CD or Git Ops patterns for repeatable promotion between development, validation, and production environments, subject to MOJ standards.·Create RAG and document-intelligence onboarding patterns covering data approval, ingestion, chunking, embeddings, vector indexes, access control, and rollback.<br>WHAT’S ON OFFERYou will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to saranya@aven-sys.com Your interest will be treated with strict confidentiality. CONSULTANT DETAILSConsultant Name: Saranya MAvensys Consulting Pte Ltd EA Licence 12C5759Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.