وظائف مطورين بايثون في البحرين

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>VAM Systems </strong>is currently looking for <strong>Data Engineer (Offshore) </strong>for our<strong> Bahrain </strong>operations with the following skillsets and terms &amp; conditions:</p><br><p><strong>Years of Experience 7 - 10 years</strong></p><br><p><strong>Qualification: </strong>Bachelor's Degree, Computer Science, BE Computer Science and Engineering</p><br><p><strong>Tools Required</strong>: Data Engineering on Cloud, Big Data Architecture, AI/ML Data Pipelines</p><br><p><strong>Professional Certifications Required</strong>: Google Cloud Certified – Professional Data Engineer or equivalent</p><br><p><strong>Experience Required:</strong></p><br><ul><li>Ability to design and build scalable data pipelines</li><li>knowledge of data modeling and warehousing concepts</li><li>Familiarity with big data tools (e.g., Spark, Hadoop)</li><li>Experience with cloud platforms (e.g., Azure, AWS, GCP)</li><li>Ability to work with structured and unstructured data</li><li>Understanding of data governance and security</li><li>Ability to support AI/ML model deployment and data preparation</li><li>Proficiency in SQL, Python, and data orchestration tools</li></ul><p><strong>Job Responsibility:</strong></p><br><ul><li>Design and implement scalable data pipelines to support AI banking initiatives</li><li>Collaborate with data scientists to prepare and transform data for model training</li><li>Develop and maintain data lake and data warehouse solutions</li><li>Ensure data quality, integrity, and security across platforms</li><li>Integrate data from core banking systems, digital channels, and external sources</li><li>Optimize data workflows for performance and cost efficiency</li><li>Support real-time and batch data processing using modern data frameworks</li><li>Implement data governance policies and metadata management</li><li>Data Pipeline Development</li><li>Big Data Technologies</li><li>Cloud Data Engineering</li><li>SQL and Python</li><li>Data Modeling &amp; Warehousing</li><li>AI/ML Data Preparation</li><li>Data Governance &amp; Security</li><li>Agile &amp; DevOps Collaboration</li></ul><p><strong>The selected candidates shall join VAM Systems - Bahrain and shall be deputed to one of the leading Banks</strong><strong>in Bahrain.</strong></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>One of our biggest clients in the telecom industry is looking for a Data Migration Specialist/Developer .</p><p>Duties &amp; Responsibilities:</p><ul><li>Plan, design, and execute end-to-end data migration activities for Oracle Digital BSS transformation projects.</li><li>Migrate customer, billing, product, service, inventory, and order data from legacy telecom systems into Oracle Siebel CRM, Oracle BRM, Oracle UIM, and Oracle OSM.</li><li>Assess and profile source data to identify quality issues and define migration strategies.</li><li>Prepare source-to-target mapping documents and define data transformation rules.</li><li>Design, develop, and optimize ETL processes for extracting, transforming, and loading data.</li><li>Develop SQL, PL/SQL, and Python scripts to automate migration, transformation, and data processing activities.</li><li>Perform data cleansing, transformation, reconciliation, and validation to ensure data accuracy, completeness, and consistency.</li><li>Execute migration testing, analyze defects, and resolve data-related issues in collaboration with business and technical teams.</li><li>Optimize database and migration script performance to support high-volume data processing.</li><li>Support migration rehearsals, production cutover, Hypercare, and post-migration verification.</li><li>Produce migration documentation, execution reports, and technical deliverables in accordance with project standards.</li><li>Collaborate with business, architecture, development, testing, and operations teams to ensure successful migration delivery.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.</li><li>Minimum 5 years of experience delivering large-scale data migration projects, preferably within the telecommunications industry.</li><li>Proven experience migrating data from legacy telecom platforms to modern BSS/OSS solutions.</li><li>Strong understanding of the complete data migration lifecycle, including assessment, mapping, cleansing, transformation, loading, reconciliation, and validation.</li><li>Hands-on experience with Oracle Digital BSS applications, including Oracle Siebel CRM, Oracle BRM, Oracle UIM, and Oracle OSM.</li><li>Strong expertise in Oracle Database, SQL, and PL/SQL, with experience developing Python-based migration utilities.</li><li>Hands-on experience with ETL and data integration tools such as Oracle Data Integrator (ODI), Informatica, Talend, DataStage, or equivalent platforms.</li><li>Solid understanding of data architecture, data modelling, source-to-target mapping, data lineage, and data quality principles.</li><li>Experience with migration testing, reconciliation reporting, and defect analysis.</li><li>Strong analytical, troubleshooting, and performance optimization skills.</li></ul><p></p></section>

<ol><li><p><strong>Odoo Development:</strong> Build and customize Odoo modules to fit client needs.</p></li><li><p><strong>Coding & System Setup:</strong> Write clean Python, XML, and JavaScript for Odoo UI and QWeb reports.</p></li><li><p><strong>Database & Integration:</strong> Work with PostgreSQL databases and assist with API integrations.</p></li><li><p><strong>Requirements & Specs:</strong> Talk with clients to understand their needs and turn them into clear technical requirements.</p></li><li><p><strong>Documentation:</strong> Create straightforward project docs, tech specs, and user guides.</p></li><li><p><strong>Client Onboarding & Training:</strong> Walk clients through the software and lead training sessions so they’re set up for success.</p></li><li><p><strong>Teamwork & Growth:</strong> Work closely with the team, take feedback onboard, and keep learning.</p><br><p>*programming languages and frameworks change quickly. The Employee may be required to work with different programming languages, frameworks, and technologies as needed by the Company.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p><strong>Fresh Graduate & Bahraini National</strong></p></li><li><p><strong>Solid Tech Basics</strong></p></li><li><p><strong>True Passion for Tech</strong></p></li><li><p><strong>Strong & Confident Personality</strong></p></li><li><p><strong>Problem Solver & Fast Learner</strong></p></li></ol>

<p><h4>Job overview</h4> <p>We are seeking an experienced senior OpenShift / Linux engineer to manage, deploy, and optimize containerized environments using Red Hat OpenShift Container Platform. The ideal candidate will have strong Linux administration skills and hands-on experience in building scalable, secure, and highly available container platforms.</p> <h4>Key responsibilities</h4> <ul> <li>Deploy, configure, and manage Red Hat OpenShift Container Platform (OCP)</li> <li>Administer and maintain Linux-based systems (RHEL/CentOS)</li> <li>Design and support containerized applications and microservices architectures</li> <li>Manage Kubernetes clusters (via OpenShift) including scaling, upgrades, and monitoring</li> <li>Implement CI/CD pipelines and support DevOps practices</li> <li>Troubleshoot platform, container, and infrastructure issues</li> <li>Ensure system security, patching, and compliance standards</li> <li>Collaborate with development and infrastructure teams for application deployment</li> <li>Monitor system performance and optimize resource utilization</li> </ul> <h4>Requirements</h4> <ul> <li>Minimum 5+ years of experience in Linux system administration and container platforms</li> <li>Hands-on experience with: <ul> <li>Red Hat OpenShift Container Platform</li> <li>Kubernetes and Docker/containers</li> <li>Linux (RHEL/CentOS)</li> </ul> </li> <li>Strong understanding of: <ul> <li>Container orchestration</li> <li>Networking concepts (DNS, load balancing, ingress)</li> <li>Storage in container environments</li> </ul> </li> <li>Experience with scripting (Bash, Python, etc.)</li> <li>Familiarity with CI/CD tools (Jenkins, GitLab CI, etc.)</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description We are currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets and terms &amp; conditions:</p><p><strong>Key Responsibilities</strong></p><ul><li>Participate in defining and maintaining the Treasury analytics and reporting roadmap, aligned with business priorities and strategy</li><li>Establish a structured framework for data consumption, reporting, and dashboard evolution</li><li>Proactively identify opportunities to enhance analytics maturity and reporting capabilities</li><li>Collaborate with Treasury stakeholders (e.g., Trading, ALM, Investments, Risk) to gather requirements and translate them into technical specifications</li><li>Translate business needs into clear analytics use cases, KPIs, and reporting requirements</li><li>Identify high-value analytical opportunities to support decision-making</li></ul><p><strong>Detailed Breakdown</strong></p><p><strong>Dashboard Development &amp; Analytics Delivery (Core Focus)</strong></p><ul><li>Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools</li><li>Ensure solutions are: Dynamic and scenario-driven (what-if analysis, simulations, sensitivity analysis)</li><li>User-friendly, with drill-down and self-service capabilities</li><li>Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics</li><li>Continuously enhance dashboards based on user feedback and evolving business needs</li><li>Ensure timely and high-quality delivery of dashboards and reporting outputs</li></ul><p><strong>Insights, Analytics &amp; Advanced Capabilities</strong></p><ul><li>Develop actionable insights and analytics outputs relevant to Treasury, Investments, and Financial Institutions</li><li>Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences</li><li>Simplify complex analytics into actionable business insights for decision-making</li><li>Explore and implement: Automation of reporting and insight generation</li><li>Dynamic scenario simulations</li><li>Predictive analytics and AI-driven insights, where applicable</li></ul><p><strong>Data Management &amp; Integration</strong></p><ul><li>Coordinate with internal teams (IT, data engineering, finance systems) to: Extract and integrate required datasets</li><li>Ensure data availability, accessibility, and consistency</li><li>Integrate data from multiple sources (e.g., EDW, APIs, flat files) into unified models</li><li>Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function</li><li>Optimize SQL queries and ETL processes for performance and scalability</li></ul><p><strong>Data Quality &amp; Governance (Treasury Scope)</strong></p><ul><li>Identify data gaps, inconsistencies, and limitations, and work with upstream providers to improve data quality</li><li>Ensure compliance with data governance, security, and privacy policies (within Treasury scope)</li><li>Maintain proper documentation of data sources, transformations, and reporting logic</li></ul><p><strong>Stakeholder Enablement &amp; Team Contribution</strong></p><ul><li>Provide training and support to business users on BI tools and data interpretation</li><li>Communicate insights effectively to senior leadership and end users</li><li>Mentor team members and contribute to best practices and reusable analytics components</li></ul><p>Terms and conditions</p><p>Joining time frame: (15 - 30 days)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Education</strong>: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.</li><li><strong>Professional Experience</strong>: Minimum of 5-8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</li><li><strong>Certifications</strong>: Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</li><li><strong>Technical Proficiency</strong>: Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab. Strong command of SQL for querying, data modeling, and ETL development. Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server. Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage. Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</li><li><strong>Analytical &amp; Modeling Skills</strong>: Proven ability to work with large-scale datasets and deliver production-grade analytics solutions. Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables. Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</li><li><strong>Business Acumen</strong>: Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches. Experience in managing BI and analytics projects and collaborating with cross-functional teams.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Role Summary</strong></p><p>We’re seeking a hands-on Automation Engineer to program, commission, and support industrial control systems across customer sites. The ideal candidate has 2–3+ years of experience with Siemens, Allen-Bradley, Schneider Electric, or Mitsubishi Electric platforms, solid PLC/SCADA skills, and is flexible for site work and travel. </p><br><p><strong>Key Responsibilities</strong> </p><ul><li><p>Develop, modify, and troubleshoot PLC logic and HMI/SCADA screens. </p></li><li><p>Commission systems on-site: I/O checks, loop tuning, FAT/SAT, and start-up support. </p></li><li><p>Integrate instruments, drives, and third-party equipment; diagnose field issues. </p></li><li><p>Prepare technical documentation (FDS, FAT/SAT reports, as-built drawings). </p></li><li><p>Ensure compliance with safety and quality standards during design and commissioning. </p></li><li><p>Provide end-user training and post-go-live support.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Must-Have Qualifications</strong> </p><ul><li><p>B-Tech- Electrical and Electronics, Electrical or Instrumentation </p></li><li><p><strong>Experience</strong>: 2–3+ years in industrial automation.</p></li><li><p><strong>Platforms</strong> (at least one, ideally multiple): </p><p>o Siemens (S7-300/400/1200/1500, TIA Portal/Step 7, WinCC) </p><p>o Allen-Bradley/Rockwell (Compact/ControlLogix, Studio 5000/RSLogix, FactoryTalk View) </p><p>o Schneider Electric (Modicon, EcoStruxure/Unity Pro, Citect/AVEVA) </p><p>o Mitsubishi Electric (Q/iQ-R/FX series, GX Works, GOT HMI)</p></li><li><p><strong>Core Skills</strong>: PLC programming, SCADA/HMI configuration, panel/device troubleshooting, and instrumentation (sensors, transmitters, control valves, calibration, PID). </p></li><li><p><strong>Industrial Comms</strong>: PROFINET/PROFIBUS, EtherNet/IP, Modbus (RTU/TCP), OPC/OPC UA. </p></li><li><p><strong>Drives &amp; Motion:</strong> VFDs/servos setup and commissioning. </p></li><li><p><strong>Documentation Tools</strong>: AutoCAD/EPLAN (reading &amp; basic edits). </p></li><li><p><strong>Work Mode</strong>: Willingness to attend site works, overtime/weekends if required, and travel as needed.</p></li><li><p><strong>Education</strong>: Diploma/Bachelor’s in Electrical/Instrumentation/Mechatronics (or equivalent). </p></li><li><p><strong>Soft Skills</strong>: Strong troubleshooting, clear communication, and customer-facing professionalism. </p></li><li><p><strong>Nice to Have</strong> </p><p>• Safety standards (IEC 61131-3, IEC 61511/61508), risk assessments. </p><p>• Historians/MES/IIoT (Ignition, AVEVA, Kepware), SQL basics, scripting (Python/VB).</p><p>• Experience in water/WTP/WWTP, FMCG, pharma, oil &amp; gas, or manufacturing plants. </p><p>• Valid driving license and passport for regional travel. </p></li><li><p><strong>Work Conditions</strong> </p><p>• Field commissioning at customer sites; mix of office and on-site work. </p><p>• PPE adherence and HSE compliance mandatory.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>One of our reputed Clients committed to being the leading regional operator in the world of Fin-tech providing innovative solutions and advanced payments looking for a Talented &amp; Experienced IT Quality Assurance Specialist (Mobile Application, Web Portals, and Kiosks Testing)</p><p>As a IT Quality Assurance Specialist, you'll be the guardian of our product quality, responsible for testing our mobile wallet applications across iOS and Android platforms. As well as our web portal and Kiosks.</p><p>You'll design comprehensive test strategies, identify bugs before they reach users, and leverage cutting-edge AI tools to accelerate testing cycles without compromising thoroughness.</p><p>Your work will directly impact user trust and satisfaction in our financial services.</p><p><b>Duties &amp; Responsibilities:</b></p><ul><li><b>Mobile Application, Web Portals and Kiosks Testing</b></li><li>Perform comprehensive testing of iOS and Android mobile wallet applications across multiple devices, OS versions, and screen sizes.</li><li>Execute functional, regression, integration, and end-to-end testing for all new features and releases</li><li>Test critical payment flows including card transactions, peer-to-peer transfers, bill payments, remittances, and wallet top-ups</li><li>Validate user interface, user experience, navigation flows, and visual design consistency</li><li>Test application performance, load handling, responsiveness, and stability under various conditions</li><li>Conduct security testing to identify vulnerabilities in payment processes and data handling</li><li>Verify integration with third-party services including payment gateways, banks, and card networks</li></ul><ul><li><b>AI-Powered Testing:</b></li><li>Utilize AI testing tools (TestRigor, Applitools, Testim, Mabl, etc.) to automate repetitive test scenarios</li><li>Leverage AI assistants (ChatGPT, Claude, GitHub Copilot) to generate test cases, test data, and testing scripts</li><li>Use AI-powered visual testing tools to detect UI inconsistencies and regression issues</li><li>Implement AI-driven test optimization to identify high-risk areas requiring deeper testing</li><li>Explore and integrate emerging AI QA tools to continuously improve testing efficiency</li><li>Use AI to analyze bug patterns and predict potential problem areas.</li></ul><ul><li><b>Test Planning &amp; Documentation:</b></li><li>Create detailed test plans, test cases, and test scenarios for new features and releases</li><li>Design and maintain test case repositories organized by feature, priority, and test type</li><li>Document test results, defects, and quality metrics clearly and thoroughly</li><li>Develop testing checklists and quality gates for different release stages</li><li>Maintain up-to-date testing documentation and knowledge base</li></ul><ul><li><b>Bug Tracking &amp; Quality Assurance:</b></li><li>Identify, document, and track bugs with detailed reproduction steps, screenshots, and logs</li><li>Assign severity and priority levels to defects based on business impact</li><li>Collaborate with developers to clarify issues, verify fixes, and conduct retesting</li><li>Ensure all critical and high-priority bugs are resolved before release</li><li>Perform smoke testing and sanity checks on bug fixes</li><li>Monitor bug trends and quality metrics to identify systemic issues</li></ul><ul><li><b>Automation &amp; Continuous Improvement:</b></li><li>Build and maintain automated test scripts for regression and smoke testing</li><li>Implement continuous testing practices integrated with CI/CD pipelines</li><li>Identify opportunities to automate manual testing workflows</li><li>Recommend and implement tools, frameworks, and processes to improve QA efficiency</li><li>Stay current with mobile testing best practices and industry trends</li><li>Contribute to improving overall product quality culture within the organization</li></ul><ul><li><b>Cross-Functional Collaboration:</b></li><li>Work closely with product managers to understand requirements and acceptance criteria</li><li>Partner with developers during feature development to prevent defects early</li><li>Communicate testing progress, blockers, and risks to stakeholders</li><li>Participate in sprint planning, grooming, and retrospective meetings</li><li>Provide quality perspective in product design and technical architecture discussions.</li></ul><ul><li><b>AI Tools Proficiency:</b></li><li>Comfortable using AI assistants to accelerate work (test case generation, script writing, problem-solving)</li><li>Quick learner eager to explore and adopt new AI-powered testing tools</li><li>Ability to critically evaluate AI-generated test cases and outputs</li><li>Understanding of how to prompt AI tools effectively for QA tasks</li></ul><ul><li><b>Qualifications &amp; Experience:</b></li><li>Bachelor's degree in Computer Science, Engineering, or related field</li><li>ISTQB or similar QA certification</li><li>Experience with performance testing tools (JMeter, LoadRunner)</li><li>Knowledge of accessibility testing standards (WCAG)</li><li>Experience testing in Agile/Scrum environments</li><li>Previous experience in startups or fast-paced product companies</li></ul><ul><li><b>Mobile Testing Expertise:</b></li><li>2-4 years of experience in mobile application testing (iOS and Android)</li><li>Strong understanding of mobile app development lifecycle and release processes</li><li>Hands-on experience testing native mobile applications and hybrid apps</li><li>Knowledge of mobile-specific testing challenges including device fragmentation, network conditions, and OS compatibility</li><li>Experience with mobile testing tools (TestFlight, Firebase Test Lab, BrowserStack, Sauce Labs)</li></ul><ul><li><b>Technical Skills:</b></li><li>Proficiency with bug tracking and test management tools (Jira, TestRail, Zephyr, or similar)</li><li>Experience with automation frameworks (Appium, XCUITest, Espresso, Detox)</li><li>Basic programming/scripting knowledge (Python, JavaScript, or Java) for test automation</li><li>Understanding of API testing using Postman, REST clients, or similar tools</li><li>Familiarity with version control systems (Git)</li><li>Knowledge of CI/CD concepts and tools (Jenkins, GitHub Actions, CircleCI)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><b>AI Tools Proficiency:</b></li><li>Comfortable using AI assistants to accelerate work (test case generation, script writing, problem-solving)</li><li>Quick learner eager to explore and adopt new AI-powered testing tools</li><li>Ability to critically evaluate AI-generated test cases and outputs</li><li>Understanding of how to prompt AI tools effectively for QA tasks</li><li><b>Domain Knowledge:</b></li><li>Experience testing fintech, payment, banking, or financial services applications strongly preferred</li><li>Understanding of payment processing flows, transaction security, and compliance requirements</li><li>Knowledge of common security vulnerabilities (OWASP Mobile Top 10)</li><li>Familiarity with data privacy regulations and PCI DSS standards</li><li><b>Analytical &amp; Problem-Solving Skills:</b></li><li>Strong attention to detail with ability to spot subtle defects and edge cases</li><li>Logical thinking to design comprehensive test scenarios and coverage</li><li>Root cause analysis skills to understand why bugs occur</li><li>Ability to think from end-user perspective and anticipate user behavior</li><li><b>Qualifications &amp; Experience:</b></li><li>Bachelor's degree in Computer Science, Engineering, or related field</li><li>ISTQB or similar QA certification</li><li>Experience with performance testing tools (JMeter, LoadRunner)</li><li>Knowledge of accessibility testing standards (WCAG)</li><li>Experience testing in Agile/Scrum environments</li><li>Previous experience in startups or fast-paced product companies</li><li><b>Mobile Testing Expertise:</b></li><li>2-4 years of experience in mobile application testing (iOS and Android)</li><li>Strong understanding of mobile app development lifecycle and release processes</li><li>Hands-on experience testing native mobile applications and hybrid apps</li><li>Knowledge of mobile-specific testing challenges including device fragmentation, network conditions, and OS compatibility</li><li>Experience with mobile testing tools (TestFlight, Firebase Test Lab, BrowserStack, Sauce Labs)</li><li><b>Technical Skills:</b></li><li>Proficiency with bug tracking and test management tools (Jira, TestRail, Zephyr, or similar)</li><li>Experience with automation frameworks (Appium, XCUITest, Espresso, Detox)</li><li>Basic programming/scripting knowledge (Python, JavaScript, or Java) for test automation</li><li>Understanding of API testing using Postman, REST clients, or similar tools</li><li>Familiarity with version control systems (Git)</li><li>Knowledge of CI/CD concepts and tools (Jenkins, GitHub Actions, CircleCI)</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>VAM Systems is currently looking for Power BI Engineer (Offshore) for our Bahrain operations with the following skillsets and terms &amp; conditions:<br> Education:</p><br><p>•&nbsp;&nbsp; &nbsp;Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.</p><br><p>Professional Experience:</p><br><p>Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</p><br><p>Certifications:</p><br><p>•&nbsp;&nbsp; &nbsp;Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</p><br><p>Technical Proficiency:</p><br><p>•&nbsp;&nbsp; &nbsp;Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.<br> •&nbsp;&nbsp; &nbsp;Strong command of SQL for querying, data modeling, and ETL development.<br> •&nbsp;&nbsp; &nbsp;Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.<br> •&nbsp;&nbsp; &nbsp;Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.<br> •&nbsp;&nbsp; &nbsp;Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</p><br><p>Analytical &amp; Modeling Skills:</p><br><p>•&nbsp;&nbsp; &nbsp;Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.<br> •&nbsp;&nbsp; &nbsp;Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.<br> •&nbsp;&nbsp; &nbsp;Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</p><br><p>Business Acumen:</p><br><p>•&nbsp;&nbsp; &nbsp;Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.<br> •&nbsp;&nbsp; &nbsp;Experience in managing BI and analytics projects and collaborating with cross-functional teams.<br> Key Responsibilities</p><br><p>•&nbsp;&nbsp; &nbsp;Participate in defining and maintaining the Treasury analytics and reporting roadmap, aligned with business priorities and strategy<br> •&nbsp;&nbsp; &nbsp;Establish a structured framework for data consumption, reporting, and dashboard evolution<br> •&nbsp;&nbsp; &nbsp;Proactively identify opportunities to enhance analytics maturity and reporting capabilities<br> •&nbsp;&nbsp; &nbsp;Collaborate with Treasury stakeholders (e.g., Trading, ALM, Investments, Risk) to gather requirements and translate them into technical specifications<br> •&nbsp;&nbsp; &nbsp;Translate business needs into clear analytics use cases, KPIs, and reporting requirements<br> •&nbsp;&nbsp; &nbsp;Identify high-value analytical opportunities to support decision-making</p><br><p>Detailed Breakdown<br> Dashboard Development &amp; Analytics Delivery (Core Focus)</p><br><p>•&nbsp;&nbsp; &nbsp;Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools</p><br><p>Ensure solutions are:</p><br><p>•&nbsp;&nbsp; &nbsp;Dynamic and scenario-driven (what-if analysis, simulations, sensitivity analysis)<br> •&nbsp;&nbsp; &nbsp;User-friendly, with drill-down and self-service capabilities</p><br><p>•&nbsp;&nbsp; &nbsp;Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics<br> •&nbsp;&nbsp; &nbsp;Continuously enhance dashboards based on user feedback and evolving business needs<br> •&nbsp;&nbsp; &nbsp;Ensure timely and high-quality delivery of dashboards and reporting outputs</p><br><p>Insights, Analytics &amp; Advanced Capabilities</p><br><p>•&nbsp;&nbsp; &nbsp;Develop actionable insights and analytics outputs relevant to Treasury, Investments, and Financial Institutions<br> •&nbsp;&nbsp; &nbsp;Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences<br> •&nbsp;&nbsp; &nbsp;Simplify complex analytics into actionable business insights for decision-making</p><br><p>Explore and implement:</p><br><p>•&nbsp;&nbsp; &nbsp;Automation of reporting and insight generation<br> •&nbsp;&nbsp; &nbsp;Dynamic scenario simulations<br> •&nbsp;&nbsp; &nbsp;Predictive analytics and AI-driven insights, where applicable</p><br><p><br> Data Management &amp; Integration</p><br><p>•&nbsp;&nbsp; &nbsp;Coordinate with internal teams (IT, data engineering, finance systems) to:<br> •&nbsp;&nbsp; &nbsp;Extract and integrate required datasets<br> •&nbsp;&nbsp; &nbsp;Ensure data availability, accessibility, and consistency<br> •&nbsp;&nbsp; &nbsp;Integrate data from multiple sources (e.g., EDW, APIs, flat files) into unified models<br> •&nbsp;&nbsp; &nbsp;Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function<br> •&nbsp;&nbsp; &nbsp;Optimize SQL queries and ETL processes for performance and scalability</p><br><p>Data Quality &amp; Governance (Treasury Scope)</p><br><p>•&nbsp;&nbsp; &nbsp;Identify data gaps, inconsistencies, and limitations, and work with upstream providers to improve data quality<br> •&nbsp;&nbsp; &nbsp;Ensure compliance with data governance, security, and privacy policies (within Treasury scope)<br> •&nbsp;&nbsp; &nbsp;Maintain proper documentation of data sources, transformations, and reporting logic</p><br><p>Stakeholder Enablement &amp; Team Contribution</p><br><p>•&nbsp;&nbsp; &nbsp;Provide training and support to business users on BI tools and data interpretation<br> •&nbsp;&nbsp; &nbsp;Communicate insights effectively to senior leadership and end users<br> •&nbsp;&nbsp; &nbsp;Mentor team members and contribute to best practices and reusable analytics components</p><br><p>LANGUAGES:</p><br><p>•&nbsp;&nbsp; &nbsp;English<br> •&nbsp;&nbsp; &nbsp;Arabic</p><br><p>Terms and conditions</p><br><p>Joining time frame: (15 - 30 days)</p><br><p>.<br> &nbsp;</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

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

<p>Job Summary: The Manager - System Operations (Platform Engineering) will lead a team responsible for designing, implementing, and managing scalable infrastructure. This role involves developing CI/CD pipelines, managing observability tools, and automating resources using Infrastructure as Code. The manager will ensure system availability, security, and compliance, troubleshoot technical issues, and stay updated with industry trends.</p><p>Key Responsibilities:</p><ul><li>Lead the design, implementation, and management of scalable, secure, and resilient infrastructure across multi-cloud and on-premise environments.</li><li>Oversee the development and maintenance of CI/CD pipelines to automate the deployment and scaling of applications and infrastructure.</li><li>Implement and manage observability tools to monitor system performance, detect anomalies, and ensure high availability.</li><li>Utilize Infrastructure as Code to automate the provisioning and management of resources.</li><li>Collaborate with cross-functional teams to define and implement best practices for system architecture, security, and compliance.</li><li>Troubleshoot and resolve technical issues related to infrastructure, applications, and services.</li><li>Stay updated with industry trends and emerging technologies to maintain efficient infrastructure.</li><li>Mentor and develop team members, fostering a culture of continuous improvement and innovation.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in Computer Science, Information Technology, or a related field.</li><li>5-7 years of experience in platform engineering, system administration, or a related role, with at least 2 years in a leadership position.</li><li>Experience in managing and delivering projects.</li><li>Expertise in Cloud Services (AWS and Azure) and on-premise infrastructure management.</li><li>Experience with CI/CD tools such as Github Actions, GitLab CI, or similar.</li><li>Proficiency in observability tools like New Relic, Grafana, or similar.</li><li>Hands-on experience with Infrastructure as Code, preferably Terraform.</li><li>Proficiency in scripting languages such as Python, PowerShell, or Bash for automation and task management.</li><li>Understanding of system, security, and compliance best practices.</li><li>Strong problem-solving skills and the ability to work under pressure.</li><li>Excellent communication and collaboration skills.</li></ul><p>About Application Process If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s): Resume/CV Passport-size photograph</p>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a senior <strong>full-stack engineer</strong> to lead URZA deployment and customer-facing technical delivery across active customer programs. <strong>This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6)</strong> depending on demonstrated depth see leveling below.</p> <p>You will own URZA deployments end-to-end at customer sites primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing runbooks, deployment guides, ConOps documents, after-action reports.</p> <p><strong>What you'll do</strong></p> <ul> <li><p>Lead URZA deployments end-to-end at customer sites in DoW and military operating environments.</p></li> <li><p>Configure URZA for each customer's mission and ConOps.</p></li> <li><p>Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds).</p></li> <li><p>Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination.</p></li> <li><p>Build reusable engagement scaffolding (runbooks, ConOps templates, integration playbooks); mentor mid-level Solution Engineers.</p></li> </ul> <p><strong>Leveling Senior SE (L5) vs. Solution Architect (L6)</strong></p> <p><strong>Senior Solution Engineer (L5):</strong> Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.</p> <p><strong>Solution Architect (L6):</strong> Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and ConOps templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.</p> <p><strong>Skills &amp; Attributes</strong></p> <ul> <li><p>Systems thinker across compute, network, vehicle behavior, and ConOps.</p></li> <li><p>Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock.</p></li> <li><p>Documentation-disciplined.</p></li> <li><p>Customer-credible; holds technical authority without overstating or underselling.</p></li> <li><p>Self-directed; thrives in ambiguity.</p></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications</strong></p> <ul> <li><p>5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work.</p></li> <li><p>Strong proficiency in Python, C++, or Rust; advanced Linux fluency.</p></li> <li><p>Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers.</p></li> <li><p>Demonstrated deployment experience in DoW, military, or comparable operational environments.</p></li> <li><p>U.S. citizenship; able to obtain a security clearance.</p></li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li><p>Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV).</p></li> <li><p>Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS).</p></li> <li><p>Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence).</p></li> <li><p>Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure.</p></li> <li><p>Active security clearance.</p></li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>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.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $200\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>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.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<h4>What this is not:<\/h4>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<h4>What we look for:<\/h4>\n<li>8+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Compensation details are provided upon engagement. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for ensuring we have the correct inventory at the stores (No OOS or OVS) by analyzing the current inventory status and updating the ordering parameters. Daily monitoring of stock movement, running report of daily inventory adjustment. Maintaining parameters of the replenishment model and making sure it is accurately input into the system, including lead times, reorder point, economic order quantities, suppliers minimum order quantities, etc. Preparing demand forecasts and initiating ordering to the stores and tracking receipt of such orders Managing the relevant inventory in coordination with the Category Managers Ensuring timely and accurate analysis and reporting of inventory and purchase forecast Dispatching orders to suppliers and ensuring proper tracking Liaising with suppliers for improving collaborative forecasting planning and replenishment Ensuring maintenance of appropriate and accurate records of in-stock and inventory position are kept</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>You have at least 4+ years of experience in Demand Planning</p><p>You are very detail-oriented, structured and know how to prioritize -- you consider yourself as someone who delivers solutions and not bottlenecks to be solved.</p><p>You are able to interact with senior-level executives and can manage the expectations of multiple stakeholders.</p><p>You are someone energized by the unknown and look forward to learning each day on the job.</p><p>You have excellent analytical and communication skills, and always like to be hands-on with several tools such as SQL, G-Sheets/Excel, Claude / AI tools, and Python is a plus.</p><p>Additionally, you have robust interpersonal and intercultural skills.</p><p>You can inspire several teams and stakeholders to rally behind a mission.</p><p>Language skills: Fluent English and Arabic would be highly advantageous.</p><p></p></section>

<p><h4>Job description</h4> <p>Bank ABC seeks to recruit an IFRS9 & ECL Reporting Officer in the Group Risk Management Department based in our Head Office, in Bahrain. The primary responsibility of this role involves running the Moodys IFRS9 RCO on several environments/contexts for different units/subsidiaries as applicable.</p> <p>Regularly maintaining, updating, and monitoring the Expected Credit Loss (ECL) framework, including the calculation rules and engines in line with internal policies and regulatory requirements.</p> <p>The role requires a sound understanding of SQL and related database technologies and a high-level familiarity with statistical tools such as SAS. A strong knowledge of IFRS9 guidelines, Basel guidelines, and credit risk management tools is essential.</p> <h4>Responsibilities of the role</h4> <p>Reporting to the Head of IFRS9 & ECL Reporting, the job holder will be responsible for:</p> <ul> <li>Generation of IFRS9 ECL provision results on a quarterly basis through the Moodys RCO for both Group and Unit levels using different environments/contexts.</li> <li>Engaging with all ABC subsidiaries and business units to collect necessary data and ensure that the data provided is accurate by performing periodic checks.</li> <li>Generating analytical reports related to ECL from Strategic System.</li> <li>Define and validate the integration of the RCO with other risk management systems.</li> <li>Preparing and maintaining all internal standards, policies and rules on IFRS9. Active engagement, awareness and monitoring of any proposed or announced policy changes together with preparation for the impact of such changes.</li> <li>Providing support for other critical strategic risk management initiatives which include Risk MI Dashboard, Stress Testing, ICAAP, portfolio reporting, etc.</li> <li>Maintaining and monitoring ECL strategic system configuration for any required changes. Engage and perform any necessary UAT for changes in the RCO and assist with efforts to automate the ECL computation where applicable.</li> <li>Reporting P&L charge to GCC which includes reconciliation between Group Finance & Group Risk. Not limited to reconciliation of Stage 3 accounts with Group RLU.</li> </ul> <h4>Areas of knowledge, qualification and experience</h4> <ul> <li>2-5 years' experience in a similar function with a large regional or global financial institution.</li> <li>A graduate degree with banking & finance background.</li> <li>High level of data handling skills.</li> <li>Strong knowledge of IFRS9 regulations.</li> <li>Good knowledge of credit risk measurement techniques such as risk ratings.</li> <li>Strong, hands-on proficiency in SQL and related database technologies (i.e. SAS, R & Python) beyond basic or high-level understanding.</li> <li>Ability to learn and update skills on the job.</li> <li>Expert-level Excel skills, including data cleaning, advanced functions (e.g., VLOOKUP/XLOOKUP, INDEX-MATCH), and large-dataset management.</li> <li>Good organizational skills.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong>What's On Your Plate?</strong> </p> <ul> <li>Responsible for ensuring we have the correct inventory at the stores (No OOS or OVS) by analyzing the current inventory status and updating the ordering parameters. Daily monitoring of stock movement, running report of daily inventory adjustment.</li> <li>Maintaining parameters of the replenishment model and making sure it is accurately input into the system, including lead times, reorder point, economic order quantities, suppliers minimum order quantities, etc.</li> <li>Preparing demand forecasts and initiating ordering to the stores and tracking receipt of such orders</li> <li>Managing the relevant inventory in coordination with the Category Managers</li> <li>Ensuring timely and accurate analysis and reporting of inventory and purchase forecast</li> <li>Dispatching orders to suppliers and ensuring proper tracking</li> <li>Liaising with suppliers for improving collaborative forecasting planning and replenishment</li> <li>Ensuring maintenance of appropriate and accurate records of in-stock and inventory position are kept</li> </ul> <p> <strong>What Did We Order?</strong> </p> <ul> <li>You have at least 4+ years of experience in Demand Planning</li> <li>You are very detail-oriented, structured and know how to prioritize -- you consider yourself as someone who delivers solutions and not bottlenecks to be solved.</li> <li>You are able to interact with senior-level executives and can manage the expectations of multiple stakeholders.</li> <li>You are someone energized by the unknown and look forward to learning each day on the job.</li> <li>You have excellent analytical and communication skills, and always like to be hands-on with several tools such as SQL, G-Sheets/Excel, Claude / AI tools, and Python is a plus.</li> <li>Additionally, you have robust interpersonal and intercultural skills. You can inspire several teams and stakeholders to rally behind a mission.</li> <li>Language skills: Fluent English and Arabic would be highly advantageous.</li></ul></div></div></section>