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<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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 $150/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 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 $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 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 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 $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 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 $150/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 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 $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 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> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> 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.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</p><br><p>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</p><br><br><br>Job Description<p>Are you excited by the potential of AI, automation, and low-code tools to transform how people work?&nbsp;</p><br><p>As an&nbsp;AI Community Enabler&nbsp;–&nbsp;Tech Expert &amp; Change Manager, you will be&nbsp;both&nbsp;the technical backbone&nbsp;and&nbsp;the community catalyst of&nbsp;LEONI’s&nbsp;global citizen development and AI&nbsp;community. Your mission is to ensure that our AI and Citizen Development transformation is not only technically sound, but also understood, embraced, and actively driven by our global business users.&nbsp;</p><br><p>You will&nbsp;care about&nbsp;the tools, trainings, and technical expertise that enable business users to innovate and automate at scale – and at the same time engage, inspire, and support them so that adoption, impact, and sustainability are maximized. You’ll bridge the gap between business and IT, simplifying complexity, fostering engagement, and empowering people to see themselves as part of the transformation.&nbsp;</p><br><p>This role is ideal for someone who thrives in a hands-on, solution-oriented environment, enjoys working with people, and wants to make a real impact across a global organization.&nbsp;</p><br><p><strong>1. Technical enablement &amp; expertise</strong></p><br><ul><li>Evaluate, set up, and maintain a best-in-class citizen development toolkit for automation/RPA and AI (especially Microsoft Power Platform and 365 Copilot) to be used by business users.</li><li>Provide technical guidance and support to community members on solution design, architecture, and troubleshooting.</li><li>Support business users in translating their needs into scalable and robust technical solutions.</li><li>Beware of existing citizen dev solutions and business needs. Proactively help in transferring solutions to areas where it makes sense.</li><li>Review, curate, and expand our internal citizen developer tools, a to-be-created solution marketplace, ensuring quality, reusability, and compliance with standards.</li><li>Contribute to a to-be-created Citizen Dev Knowledge Hub with technical best practices, documentation, blueprints, and how-to content.</li><li>Continuously identify and introduce new technologies and approaches that can scale across the company.</li><li>Act as a thought leader by exploring emerging AI/automation trends and translating them into practical solutions for the business in the context of citizen development.</li></ul><p><strong>2. Community building, change &amp; adoption</strong></p><br><ul><li>Engage, inspire, and grow our (just-starting) global AI and Citizen Dev Community.</li><li>Design, organize, and run community initiatives such as global challenges, dashboards, expert-sharing sessions, office hours, and community meetups.</li><li>Develop and maintain a Knowledge Hub with best practices, FAQs, success stories, and training resources.</li><li>Design and deliver training programs for employees (from executives to citizen developers) to improve AI literacy, citizen development skills, and prompt engineering, either by yourself or with external partners.</li><li>Collect user feedback and translate it into actionable improvements for tools, processes, and training.</li><li>Continuously innovate and improve how we communicate AI and Citizen Dev transformation and foster engagement.</li><li>Act as a culture champion, promoting change adoption and storytelling that inspires people to see themselves as part of the transformation.</li></ul><p><strong>3. Collaboration between business, IT &amp; AI</strong></p><br><ul><li>Besides with your internal business users and citizen developers, you work closely with AI Engineers, IT Professionals, and your peer AI Community Enabler to ensure seamless support for business users.</li></ul><p>Bridge the gap between business and IT by clarifying and assessing business requests and requirements for AI and automation use cases</p><br><br><br>Qualifications and Experience<p><strong>Must-have :</strong></p><br><p>· Strong expertise in Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio, Power BI) and Microsoft 365 Copilot</p><br><p>· Experience with RPA tools and intelligent automation (MS Power Automate, plus awareness of other tools and their limitations).</p><br><p>· Solid understanding and broad knowledge of Generative AI and GenAI tools (especially MS 365 Copilot, Copilot Chat). Experience with GPT4All, open-source tools, ChatGPT (Enterprise), agentic AI is a plus.</p><br><p>· Basic understanding and experience with programming languages and scripting, especially Python and VBA; experience working with AI-assisted coding tools (GitHub Copilot, Cursor,…), APIs and relational/non-relational databases is a plus.</p><br><p>· Experience working with business users and translating their needs into technical solutions.</p><br><p>· Good communicator and storyteller, both verbal and written, with a knack for making complex topics feel simple and actionable.</p><br><p>· Empathetic mindset with strong user-centric thinking, especially when it comes to technology and change.</p><br><p>· Strong organizational and facilitation skills (e.g., running workshops, meetups, or training sessions).</p><br><p>· Motivation for change management, digital adoption, internal communications, or community building.</p><br><p>· Curious, self-driven, and eager to continuously improve, experiment, and learn new tools.</p><br><p><strong>Nice-to-have :</strong></p><br><p>· Experience with workflow and data automation tools (e.g. KNIME).</p><br><p>· Experience in scaling solutions and driving automation/AI programs at scale.</p><br><p>· Experience with design thinking, user journey mapping, or internal communication strategy.</p><br><p>· Knowledge about governance topics (responsible AI, data ethics, GDPR).</p><br><p>· Certifications in Microsoft Power Platform or AI/Automation tools.</p><br><br><br>Benefits<p>· You’ll be part of a cross-functional AI team with a startup spirit inside a global automotive supplier.</p><br><p>· You’ll work closely with colleagues (AI Community Enabler, AI Engineers, IT, community leads) to ensure both technical and change success.</p><br><p>· You will have the freedom to shape and grow a global citizen development and AI community, including its tools, technical foundation, and engagement formats.</p><br><p>· You’ll have the freedom to explore new tools and propose our citizen development tech stack.</p><br><p>· Your work can directly impact thousands of employees worldwide.</p><br><p>· Environment that values initiative, experimentation, and scalability.</p><br><p>· You’ll have room to grow, shape your role, and bring your own ideas to life.</p><br><p>· Opportunities for acquiring new, role-related certifications. · Hybrid/remote flexibility with occasional global travel.</p><br><br> </div>

<p>In the context of developing its Technology Risk activity, EY Tunisia is looking for Junior Auditors / Consultants specializing in Information Systems and innovative technologies. Technology Risk is also integrated within a larger department called Business Consulting, comprising approximately 220 people, thus allowing for more diverse opportunities and/or continuous evolution on complex mixed business and IS issues.</p><p><strong>The Opportunity</strong></p><p>Our Technology Risk team currently has more than 60 consultants and supports major companies in various sectors (Banks, insurance, industry, public sector, telecom, etc.) and different geographies (Tunisia/ Maghreb/ Africa/ Europe: France, Luxembourg, Germany, etc./ Middle East: Qatar, UAE, Saudi Arabia, Egypt, etc.) in transforming their IS to meet strategic, regulatory, and security challenges broadly.</p><p>By joining us, you will have the opportunity to develop various business and technical expertise by participating in various audit and consulting missions.</p><p>You will also benefit from training and close coaching throughout your professional career within the Firm.</p><p><strong>Your Missions</strong></p><p>You will be trained in our methodologies and will have the opportunity to work, according to your skills and aptitude, within multidisciplinary teams on various types of audit and consulting missions:</p><ul><li>Management and control of risks related to information systems and cybersecurity</li><li>Program/Project Risk Management</li><li>Information system audit across all SI layers: application, network (LDAP directories, Active Directory), infrastructure (servers, databases)</li><li>Review of IT system implementations, both on the application layer and the infrastructure layer (application server, database)</li><li>SOCR (Service Organizations Control Reporting) projects</li><li>Business Continuity Plan, Crisis Management</li><li>Cybersecurity readiness assessments</li><li>Support for the implementation of an information security management system</li><li>Regulatory audit and in accordance with standards and best practices (ISO27001/ ISO27002/ ISO22301/ NCA ECC/ SWIFT CSP/ NIST/ etc.)</li></ul><p><strong>Your Responsibilities:</strong></p><ul><li>You actively participate in the execution of missions with our clients in close collaboration with experienced consultants and managers.</li><li>You intervene at the core of companies and their business processes to provide advice aimed at helping them manage their operational or technological risks, particularly in the context of audit missions.</li><li>You support management in implementing their risk management frameworks (risk mapping, process modeling, other diagnostics...).</li><li>You base your work on qualitative and quantitative analyses from sometimes large and complex data.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Graduate of an engineering school, management school, or university, you have successful prior experience (internship, apprenticeship) in a company, audit firm, or consulting firm in the field of Information Systems.</p><p>Enthusiastic, dynamic, committed, you have a strong ability to adapt and enjoy working in a team.</p><p>Your rigor, interpersonal skills, and ease in oral and written communication will contribute to the excellence of our service to clients.</p><p>Advanced English</p><p>Good communication in French</p><p>International experience is a plus.</p><p>As part of its Diversity policy, EY considers all applications, including those from people with disabilities, on equal terms.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a versatile and talented Full-stack Developer to grow with our global development team.<br> You will be working remotely on the main Assima platform application.<br> Your key role will be to implement features and maintain our platform developed in C# and .<br>NET framework.<br> There will be opportunities to work on the future version of our application as a backend developer (Python) or frontend (React) , depending on priorities and skills.<br> Roles and Responsibilities Develop and maintain features for our main platform Deploy code to production and respond to live incidents in production Work closely with developers and QA testers to deliver and meet expectations Work in an international environment with teams in multiple time zones Think out of the box and solve unique problems Attention to detail Core skills 3+ years of experience with C# Strong experience with .<br>NET Framework (ASPX) and ASP.<br>NET Experience with .<br>NET Core / ASP.<br>NET Core Experience with Microsoft SQL Server Extensive experience with legacy ASP.<br>NET is mandatory Bonus Experience with Entity Framework (EF / EF Core) Experience with WCF (Windows Communication Foundation) services Experience with RabbitMQ or other message brokers Strong knowledge of JavaScript, HTML, CSS, JQuery Understanding of asynchronous programming and multithreading Experience with TFS (Team Foundation Server) / Azure DevOps Familiarity with non-relational databases such as MongoDB and Apache Solr Special Requirements for the Role Ability to work and communicate clearly and efficiently with team members, with strong English communication both written and spoken M.<br>S. Degree in Computer Science or similar Work within a successful, dynamic, small and growing team Availability to work during CET business hours</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Senior Cloud Solution Architect (OCI)<br><b>Job Description:</b><p><b>Role Overview</b>&nbsp;</p><br><br><p>We are seeking a Senior Cloud Solution Architect to lead solution design and technical strategy for Oracle Cloud Infrastructure (OCI) presales across a partner-led ecosystem, with a focus on Arrow Electronics and its channel partner network.&nbsp;</p><br><br><br><p>This role operates at the intersection of hyperscaler innovation with focus on Oracle Cloud Infrastructure (OCI), partner enablement, and customer transformation, driving scalable, repeatable cloud, data, AI, and security solutions through indirect sales motions.<br>The ideal candidate has an engaging people style while being an OCI strategist, architect, and field advisor, enabling partners to deliver high-impact solutions centered on Oracle Cloud Infrastructure (OCI), hybrid and associated hyperscalers supporting Arrow’s OCI go-to-market priorities.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li>Lead architecture design for Oracle Cloud Infrastructure (OCI) with related data, AI, and security solutions delivered through partners and resellers.</li><li>Work across OCI offering stack: OCI infrastructure architecture; data platforms, associated Oracle/Custom/ISV Applications</li><li>Develop repeatable solution frameworks and reference architecture aligned to Arrow and OCI priorities.</li><li>Support partner enablement, including technical workshops, architecture guidance, and co-selling motions.</li><li>Engage with customers, partners, and internal sales teams to shape complex opportunities and drive deals forward.</li><li>Collaborate with adjacent hyperscaler teams (for example, Microsoft and AWS teams) on architecture, co-sell opportunities, incentives, and GTM alignment with Arrow’s OCI business.</li><li>Drive adoption of Oracle Cloud Infrastructure (OCI), and related OCI-based solutions across the partner ecosystem.</li><li>Provide executive-level advisory to customers on OCI cloud strategy, modernization, and innovation.</li></ul><br><p>Partner &amp; Ecosystem Engagement</p><br><br><ul><li>Act as a trusted advisor to key partners, helping them build and scale cloud solution practices.</li><li>Enable partners on OCI architecture, CSP models and managed services delivery.</li><li>Support partner differentiation through solution packaging, IP development, and vertical use cases.</li><li>Participate in joint account planning and pipeline acceleration activities.</li></ul><br><p>Pre-Sales &amp; Revenue Contribution</p><br><br><ul><li>Partner with sales leadership to shape deals and influence technical win strategies.</li><li>Partner with Services in support of partner/client opportunities.</li><li>Contribute to proposals, RFPs, and solution designs that align with customer outcomes.</li><li>Accelerate pipeline through architecture validation, demos, and technical storytelling.</li><li>Drive revenue influenced through solution design and partner engagement.</li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li>A Certified OCI Architect Professional</li><li>Must have min 5-year track record of Oracle Cloud Infrastructure (OCI) experience.</li><li>8+ years of experience in cloud architecture, consulting, or sales engineering overall.</li><li>Experience and understanding of OCI’s strategy: Enterprise databases, AI infrastructure and High-Performance workloads.&nbsp;</li><li>Understanding of OCI workloads running on premises or hyperscalers (AWS, Azure, GCP)</li><li>Experience working in a partner/channel or CSP ecosystem.</li><li>Strong client-facing and executive communication skills.</li><li>Ability to influence partners, customers, and internal stakeholders.</li><li>Deep expertise in Oracle Cloud Infrastructure (OCI) (compute, networking, identity, security and data applications).</li><li>Strong understanding of hybrid cloud, Kubernetes and automation.</li></ul><p><br><b>Preferred Qualifications</b></p><br><br><ul><li>OCI certification is a must</li><li>Oracle related certifications</li><li>Data, Database or Data/AI certifications</li><li>AWS, Azure or GCP certifications.</li></ul><br><p><b>Work Arrangement</b><br>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.</p><br><br><br><p><b>What's In It For You</b><br>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.</p><br><br><ul><li>Medical, Dental, Vision Insurance</li><li>401k, With Matching Contributions</li><li>Paid Time Off (including sick, holiday, vacation, etc.)</li><li>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options</li><li>Growth Opportunities</li><li>Short-Term/Long-Term Disability Insurance</li><li>And more!</li></ul><br><b>Annual Hiring Range/Hourly Rate:</b><br>$126,300.00 - $200,200.00<br><p><span>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.</span></p><br><br><b>Location:</b>US-TX-Texas (Remote Employees)-Central Time Zone<br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Sales<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br><p><i><span>In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</span></i></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <p> <strong>Introduction</strong> </p> <p>Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants. </p> <p>IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.</p> <p>IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM s workplace culture at IOM workplace culture | International Organization for Migration </p> <p>This Vacancy Notice is part of IOM s competitive mobility exercise, open for applications from internal and internal-equivalent candidates only. </p> <p> </p> <p> <strong>Organizational Context and Scope</strong> </p> <p>Under the overall supervision of the Chief of Mission (CoM) and the direct supervision of the Head of Resources Management of IOM Libya Country Office (CO), the Information Management and Technology Officer will be responsible for managing, coordinating and implementing the activities of the Information and Communications Technology (ICT) unit in IOM Libya CO and its Sub-Offices.</p> </div> <div> <p> <strong>Required Qualifications and Experience</strong> </p> <p> <strong>Education</strong> </p> <ul> <li>Master s degree in Computer Engineering, Computer Science, Information Management, Information Technology, or a related field from an accredited academic institution with five years of relevant professional experience; or,</li> <li>University degree in the above fields with seven years of relevant professional experience.</li> <li>Certificate in any of the following: Cisco Certified Network Associates (CCNA), Microsoft Azure certifications, Microsoft Certified System Administrator (MCSA), Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE), is a distinct advantage.</li> <li>A certificate in project management (PMP or Prince2) andor IT service management (ITIL) is a distinct advantage.<br> </li> </ul> <p> <strong>Experience</strong> </p> <ul> <li>Experience in overseeing and management of the implementation and administration of Microsoft Windows and Serverless networks environment (LAN/WAN) and first-level network/desktop support in a large international organization is required;</li> <li>Experience in supervisory role and management of ICT functions in an international organization or an international agency in a field location; supporting emergency, complex/post-conflict Country Office;</li> <li>Progressively responsible experience in planning, design, development, implementation, and maintenance of computer information systems;</li> <li>Knowledge and demonstrated experience in cybersecurity compliance and security control implementation and maintenance, cybersecurity incident response and recovery. Extensive knowledge and experience in Microsoft 365 cloud-based applications and technologies; and,</li> <li>Experience providing policy advice to senior managers on systems development in a changing business environment and the implications of various alternatives, on business applications planned for future needs and other related issues.<br> </li> </ul> <p> <strong>Skills</strong> </p> <ul> <li>Advanced oral and written communication skills; refined soft skills and demonstrated ability to communicate with business leaders and those with limited technical background effectively is essential;</li> <li>Extensive knowledge of Windows Operating System, NetworkSystems administration, TCP/IP, Telecoms, Network Protocols, Cisco devices, Virtual Private Network (VPN), VoIP, MS Office 365 apps, Antivirus Software, and utilities;</li> <li>Knowledge of web-based development, geographical information systems, and/or mapping tools would be a distinctive advantage;</li> <li>Demonstrated ability to work with minimal supervision and demonstrate a high level of initiative, perseverance, and professional commitment to achieve high-quality results;</li> <li>Knowledge and demonstrated experience in database information systems and data processing tools;</li> <li>Knowledge of web-based development and other development tools and reporting, including future projections on the potentials of current and new technologies; </li> <li>Demonstrated ability to handle confidential data in a professional, responsible and mature manner; and, </li> <li>Demonstrated ability to coach individuals, to work effectively and harmoniously with colleagues within a team from varied cultures and professional backgrounds. <br> </li> </ul> <p> <strong>Languages</strong> </p> <p>For this position, fluency in English is required (oral and written).</p> <p>Working knowledge of Arabic and another official UN language (Chinese, French, Russian and Spanish) is an advantage.</p> <p>Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.</p> <p><br></p></div><ol><li> </li> </ol></div></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 $150/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 $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h3>ROLE OVERVIEW</h3>Hands-on senior full-stack engineering role combining AWS cloud-native development, technical ownership, architectural collaboration and delivery leadership.<br><br><h3>About the Role</h3> As a Senior Full-Stack Developer, you will play a key role in shaping the technical direction and implementation of partner-enabled services. You will work closely with Solution Architects, Project Managers, Full-Stack Developers, Designers, Product Managers, Business Analysts, and UI/UX specialists to enhance and scale the existing service portfolio, partner enablers, APIs, and developer platform. This is a hands-on position for an experienced engineer who can take technical ownership, contribute throughout the development lifecycle, and help create scalable, maintainable, secure, and high-performing solutions across back-end and front-end applications.<br><br><h3>Key Responsibilities</h3> <ul> <li><strong>Technical Leadership:</strong> Drive technical work together with the Project Manager and Solution Architect. Take ownership of development tasks, contribute hands-on, lead technical initiatives, conduct code reviews, provide technical guidance, and promote continuous improvement.</li> <li><strong>System Development &amp; Implementation:</strong> Design, develop, maintain, and evolve partner solutions, reusable components, service enablers, APIs, and full-stack applications using modern engineering practices.</li> <li><strong>Cross-Functional Collaboration:</strong> Work with architecture, product, design, business analysis, UI/UX, and development teams to understand requirements, define technical solutions, and ensure seamless front-end and back-end integration.</li> <li><strong>Architectural Support:</strong> Support the Solution Architect with application architecture and technical roadmap activities. Advocate scalable and maintainable designs and evaluate technologies and frameworks that can improve engineering efficiency and user experience.</li> <li><strong>Quality Engineering:</strong> Establish and follow coding standards, development best practices, automated testing strategies, code reviews, performance optimization, and engineering quality controls to deliver reliable solutions.</li> <li><strong>Documentation &amp; Knowledge Sharing:</strong> Create and maintain technical documentation, development guidelines, reusable patterns, and team standards. Participate in onboarding, workshops, and knowledge-sharing activities.</li> <li><strong>Innovation &amp; AI Enablement:</strong> Explore and apply modern engineering practices, including AI-assisted development, where appropriate to improve productivity, delivery speed, and software quality.</li> <li><strong>API &amp; Service Evolution:</strong> Help drive the evolution of partner service enablers and APIs, ensuring consistency, scalability, performance, reliability, and maintainability across applications.</li> </ul> <h3>Must-Have Skills</h3> <ul> <li>Strong professional experience with TypeScript and modern full-stack application development.</li> <li>Deep hands-on experience with AWS, including serverless architectures and cloud-native services.</li> <li>Hands-on development experience with Node.js and React.js.</li> <li>Experience designing, developing, and integrating REST APIs or comparable service interfaces.</li> <li>Experience with Infrastructure as Code (IaC); practical AWS CDK experience is strongly preferred.</li> <li>Understanding of scalable application architecture, reusable components, integration patterns, performance, and maintainability.</li> <li>Experience with automated testing, code reviews, coding standards, debugging, performance optimization, and software quality practices.</li> <li>Ability to take technical ownership and move development forward in collaboration with architects, project leads, and cross-functional stakeholders.</li> <li>Strong analytical problem-solving skills and the ability to break complex problems into manageable technical solutions.</li> <li>Fluent English communication skills, both written and spoken.</li> </ul> <h3>Good-to-Have Skills</h3> <ul> <li>Experience in the automotive industry or an automotive-related digital/service environment.</li> <li>Hands-on experience with AWS CDK, if IaC experience has primarily been gained with other tools.</li> <li>Experience with AI-assisted software development, generative AI tools, or other modern innovation practices that improve engineering productivity.</li> <li>Experience contributing to architectural design, technology evaluation, and application technical roadmaps.</li> <li>Experience creating reusable developer-platform components, partner enablers, SDKs, or service frameworks.</li> <li>Experience facilitating technical workshops, onboarding engineers, mentoring, or sharing development standards and patterns.</li> <li>Ability to create and present technical concepts and innovative ideas to both technical and non-technical stakeholders.</li> </ul> <h3>Location &amp; Work Model</h3> Primary location: Lindholmen Science Park, Gothenburg, Sweden. Hybrid work model, combining office-based work with working from home a few days each week. Candidates who are not EU citizens must hold a valid work permit for Sweden. Share<p><strong>Desired Candidate Profile</strong></p><h3>Education</h3> Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology, or another relevant field.<br><br><h3>Experience</h3> Recommended experience level: 6+ years of professional software development experience, with several years of hands-on full-stack development in complex production environments. Candidates should demonstrate senior-level technical ownership and strong practical experience with the core stack rather than only listed skills or certifications. The original requirement specifies several years of experience in complex software development without stating an exact number. The 6+ years threshold is therefore an appropriate recruiting benchmark for the level of technical ownership, hands-on delivery, code review, architectural participation, and guidance expected in this role.

<p>Essential Job Functions: Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0. Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability. Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies. Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems. Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks. Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery. Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks. Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles. Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning. Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD). Experience working with API gateway platforms such as Kong, Apigee, or similar technologies. Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation. Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.</p><p>Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus. Knowledge of cloud-native architectures and modern distributed systems is preferred. Strong analytical, problem-solving, and communication skills. Demonstrated ability to learn emerging technologies and apply them in innovative business solutions. Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.</p>

<p>Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions. Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration. Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality. Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices. Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling. Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews. Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence. Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</li><li>Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</li><li>Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</li><li>Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</li><li>Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</li><li>Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</li><li>Strong debugging, troubleshooting, and incident response capabilities in production environments.</li><li>Experience contributing to collaborative software development processes using modern version control and DevOps practices.</li><li>Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</li><li>Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</li><li>Strong analytical thinking, problem-solving, and decision-making skills.</li><li>Excellent communication and collaboration abilities in cross-functional team environments.</li><li>Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</li><li>Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</li></ul>