Automotive Engineer Jobs in Tunisia
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<p>We are looking for a Systems Engineer to work closely with a sales representative in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales.</p><p>With us you will Lead all technical aspects of a sales cycle with customers, from the initial RFIs, through to RFPs & RFQs when required. This includes the project management and active participation in POCs in partnership with the relevant teams both internally and within the customer and/or commercial partner.</p><p>Have the ability to listen and to understand the technical requirements of the customer, reading between the lines to build a solution which outperforms the competitor offering.</p><p>Be the primary technical point of contact for the customer(s) and partners in close collaboration with your sales partner.</p><p>Continuously strive to improve knowledge around the Fortinet products and solutions, along with maintaining a deep understanding of the competitive landscape and Fortinet s ability to provide long lasting protection against the ever-evolving threats.</p><p>Have a strong ability to position Fortinet solutions to the customer, whether this be remotely or in person. This requires strong communication skills and the ability to confidently present through whiteboarding, technical white papers, technical plans or customer discussions.</p><p>Manage your time effectively when working on multiple deals simultaneously, ensuring a positive customer experience is maintained.</p><p><strong>Desired Candidate Profile</strong></p><h2>Apply if you</h2><ul><li>Have Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, VLAN, Network Security, Firewall, Intrusion Detection, and anti-virus.</li><li>Solid understanding of most of the following technologies and protocols: SD-WAN, SASE, ZTNA, SIEM, XDR, EDR, WAF, Email Security, NAC, CASB, RADIUS, PKI, IKE, Certificates, Strong presentation skills in French and in English</li><li>Are currently or have previously worked in a pre-sales engineer role, managing end to end technical aspects of deals, through to technical closure.</li><li>Can demonstrate your problem solving skills and how this has impacted key wins within your current organisation.</li><li>Understand and can demonstrate your ability to build and maintain customer relationships, including your ability to effectively communicate technically to a range of both external and internal stakeholders.</li><li>Fluency in English is a must</li></ul>
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<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 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> Compensation On this project, contributors can earn up to $25 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>
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<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 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> Compensation On this project, contributors can earn up to $25 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>
<p>Architect, develop, and maintain modern web applications using Next.js 15, leveraging App Router, Server Components, and server-side rendering (SSR) capabilities. Design and implement real-time user experiences using technologies such as Server-Sent Events (SSE) and WebSocket-based communication. Build scalable, schema-driven forms and multi-step workflows using modern validation frameworks and reusable UI patterns. Own application state management, authentication integration, and API communication layers to deliver secure and seamless user experiences. Design, develop, and integrate extensible mini-application frameworks, including secure sandboxing, dynamic module loading, and application verification mechanisms. Create, customize, and deploy AI-powered agents using vibecoding UI templates and platform development tooling. Collaborate with cross-functional teams to deliver responsive, high-quality, and innovative digital solutions that meet business objectives.</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, 5+ years of professional experience developing modern web applications using TypeScript and React.</li><li>Strong expertise in React development, including hooks, context API, component architecture, and server component patterns.</li><li>Hands-on experience with Next.js App Router, SSR, API routes, middleware, streaming, and modern frontend application architectures.</li><li>Proven experience implementing and maintaining scalable state management solutions, such as Redux Toolkit or equivalent technologies.</li><li>Experience building user interfaces with Tailwind CSS and modern component libraries such as Radix UI, shadcn/ui, or similar frameworks.</li><li>Solid understanding of real-time communication protocols, including SSE, WebSocket technologies, and event-driven UI development patterns.</li><li>Familiarity with Docker-based development workflows, CI/CD pipelines, and Kubernetes fundamentals.</li><li>Knowledge of AI-powered user experiences, LLM integrations, and agent-driven interaction models.</li></ul>
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<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 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> Compensation On this project, contributors can earn up to $25 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>
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<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 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> Compensation On this project, contributors can earn up to $25 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>
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<b>Position:</b>Microsoft AI Engineer - CCoE, NA<br><b>Job Description:</b><p>As a Microsoft AI Engineer, you will support partners, internal teams and end customers across North America with the development, integration and implementation of AI agents. You will help translate customer needs into practical solutions, contribute to proof of concepts and quick developments, and guide stakeholders on how Microsoft technologies can be used to deliver effective AI agent outcomes.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li><p>Support partners, internal teams and end customers across North America with the development and integration of AI agents.</p><br><br></li><li><p>Contribute to proof of concepts, demos and quick/simple developments that show how AI agents can address customer challenges.</p><br><br></li><li><p>Engage in customer and partner discussions to understand business needs and help define the best implementation approach for AI agents.</p><br><br></li><li><p>Provide guidance on Microsoft technologies, including Microsoft Copilot, Copilot Studio and related AI capabilities.</p><br><br></li><li><p>Help partners identify relevant AI agent use cases and translate them into practical, commercially relevant solutions.</p><br><br></li><li><p>Collaborate with internal sales, technical and vendor teams to support AI-related opportunities and customer engagements.</p><br><br></li><li><p>Share knowledge, best practices and learnings around emerging AI agent topics with internal teams and partners.</p><br><br></li><li><p>Support customer-facing conversations by explaining technical concepts in a clear and accessible way.</p><br><br></li><li><p>Maintain awareness of developments in Microsoft AI technologies, security considerations and the broader AI agent landscape.</p><br><br></li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li><p>Good understanding of Microsoft technologies, with strong Microsoft knowledge preferred.</p><br><br></li><li><p>Microsoft Certified Frontier Transformation Engineer is strongly preferred. Willingness/ability to obtain certification is required.</p><br><br></li><li><p>Experience with Microsoft Copilot, Copilot Studio or similar AI agent technologies is required.</p><br><br></li><li><p>Some development skills, including the ability to create quick prototypes or use “vibe coding” approaches to support proof-of-concept work.</p><br><br></li><li><p>Understanding of AI agent development and integration; this is not a pure developer role, but the successful candidate should be comfortable discussing and shaping AI agent solutions.</p><br><br></li><li><p>Ability to support partners and customers in defining practical implementation approaches for AI agents.</p><br><br></li><li><p>Customer-facing experience is preferred, although candidates with the right attitude, strong communication skills and stakeholder engagement ability will also be considered.</p><br><br></li><li><p>Strong communication skills and the ability to engage confidently with internal teams, partners and customers across different countries and functions.</p><br><br></li><li><p>Additional Microsoft certifications would be a plus.</p><br><br></li></ul><br><p><b>Work Arrangement</b></p><br><br><p>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></p><br><br><p>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><p>Medical, Dental, Vision Insurance </p><br><br></li></ul><ul><li><p>401k, With Matching Contributions </p><br><br></li></ul><ul><li><p>Short-Term/Long-Term Disability Insurance </p><br><br></li></ul><ul><li><p>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options </p><br><br></li></ul><ul><li><p>Paid Time Off (including sick, holiday, vacation, etc.) </p><br><br></li></ul><ul><li><p>Tuition Reimbursement </p><br><br></li></ul><ul><li><p>Growth Opportunities </p><br><br></li></ul><ul><li><p>And more! </p><br><br></li></ul><br><p>#LI-EK1</p><br><br><br><b>Annual Hiring Range/Hourly Rate:</b><p>$138,900.00 - $200,000.00 OTE</p><br><br><br><p>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. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested. </p><br><br><b>Location:</b>US-CO-Colorado (Remote Employees)<br><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. </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> </div>
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<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>
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<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>
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<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>
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<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>
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<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>
<p>Mechanical Engineer, with experience in heavy equipment, trucks, and vehicles, as well as solid knowledge of troubleshooting and supervising maintenance and repair operations.<br><br>The candidate must be capable of managing and overseeing the workshop and mechanics, organizing workflows, and ensuring maintenance quality. Strong character, quick decision-making abilities, and the capacity to assume responsibility and resolve problems are essential.<br><br>Practical experience and proficiency in handling equipment and technical teams are among the key requirements.</p><p> </p>
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<p>As a Senior Microsoft Fabric – Power BI Data Engineer, you will play a key role in building and evolving reusable, product‑oriented data and analytics solutions on Microsoft Fabric. You will work hands‑on from data ingestion and Python‑based transformations to analytics‑ready data models and Power BI semantic layers. You will design well‑structured, high‑quality Fabric reports and analytics, with strong attention to usability, clarity, and performance.</p><br><br><p>You will ensure solutions are scalable, maintainable, and standardized, avoiding one‑off custom implementations. You will apply strong engineering practices, using Git and GitHub to manage, review, and promote changes within Fabric, while collaborating closely with business and technical stakeholders to deliver trusted data products.</p><br><br><p><b>Key Responsibilities:</b></p><br><br><ul><li>Reporting & Data Products (Power BI/Fabric)<ul><li>Build end to end Power BI solutions:<ul><li>Semantic models</li><li>DAX measures</li><li>Dashboards and reports</li></ul></li><li>Focus on product thinking:<ul><li>Generic datasets reusable by multiple consumers</li><li>Clear contract between data model and reports</li></ul></li><li>Ensure reports are:<ul><li>Performant</li><li>Maintainable</li><li>Aligned with business KPIs</li><li>Aligned to the designed UI/UX</li></ul></li></ul></li><li>Data Modeling (Analytics Ready)<ul><li>Design scalable analytical models meant to be reused across reports:<ul><li>Star schemas (facts & dimensions)</li><li>Conformed dimensions and standardized KPIs</li></ul></li><li>Optimize models for:<ul><li>Performance</li><li>Governance</li><li>Long term evolution</li></ul></li></ul></li><li>Data Engineering & Transformation (Microsoft Fabric)<ul><li>Design and implement reusable data pipelines using:<ul><li>Microsoft Fabric Lakehouse</li><li>Dataflows Gen2</li><li>Notebooks (Python / PySpark)</li></ul></li><li>Build production ready transformations in Python:<ul><li>Data cleansing, enrichment, aggregations</li><li>Incremental loads, idempotent logic</li><li>Basic data quality and validation checks</li></ul></li><li>Apply Medallion architecture principles (Bronze / Silver / Gold)</li></ul></li><li>Engineering Practices & Product Mindset (Key Requirement)<ul><li>Work with a product oriented approach:<ul><li>Standardized data models and pipelines</li><li>Avoid one off custom logic per consumer</li><li>Favor configuration over customization</li></ul></li><li>Apply software engineering best practices to data:<ul><li>Modular code</li><li>Naming conventions</li><li>Documentation</li></ul></li><li>Contribute to shared patterns and internal data products</li></ul></li><li>Git, GitHub & CI/CD Integration<ul><li>Use Git and GitHub as the default way of working:<ul><li>Version control for notebooks, semantic models and pipelines</li><li>Proper branching and pull requests</li></ul></li><li>Work with GitHub integrated Microsoft Fabric:<ul><li>Code changes tracked and reviewed</li><li>Collaboration through PRs</li></ul></li><li>Basic understanding of:<ul><li>CI/CD concepts for data & Power BI</li><li>Promotion of changes across environments (dev / test / prod)</li></ul></li></ul></li></ul><p><b>Must‑Have</b></p><br><br><ul><li><b>5+ years</b>' experience in data, BI or analytics roles</li><li>Strong hands‑on experience with:<ul><li><b>Microsoft Fabric</b></li><li><b>Power BI</b> (semantic model, DAX, reporting)</li><li><b>Python</b> for data transformation (Pandas, basic PySpark)</li><li><b>SQL</b></li></ul></li><li>Solid understanding of:<ul><li>Data modelling for analytics</li><li>Data warehouse / Lakehouse concepts</li></ul></li><li>Experience using <b>Git</b> in a professional environment</li><li>Engineering mindset applied to data (not only reporting)</li></ul><br><p><b>Nice to Have (</b>Not Mandatory)</p><br><br><p>• Experience with Azure cloud services </p><br><br><p>• Exposure to: </p><br><br><p>o CI/CD pipelines (GitHub Actions, Azure DevOps)</p><br><br><p>Microsoft Fabric expertise is a plus, but we value strong fundamentals and engineering discipline above buzzwords.</p><br><br><p><span><b>Collaborate with</b>:</span></p><br><br><ul><li><span>Architects</span></li><li><span>Product owners</span></li><li><span>Lead Engineers</span></li><li><span>Business stakeholders</span></li></ul><p><span> Challenge requirements that lead to:</span></p><br><br><ul><li><span>Over‑customization</span></li><li><span>Unmaintainable solutions</span></li></ul><p> Promote <b>long‑term platform quality</b> over short‑term quick fixes<br></p><br><br><p><span><i>About FNZ</i></span></p><br><br><p><span><i>FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back. </i></span></p><br><br><p><span><i>We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution. </i></span></p><br><br><p><span><i><span>We partner with the world’s leading financial institutions, with over US$2.5 trillion in assets on platform (AoP).<br>Together with our clients, we empower nearly 30 million people across all wealth segments to invest in their future.</span></i></span></p><br><br><br> </div>
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<b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities </b></p><br><ul>
<li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li>
<li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li>
<li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li>
<li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li>
<li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li>
<li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li>
<li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li>
<li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li>
<li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li>
<li>Work on Gen AI related initiatives aligned with the company goals.</li>
</ul><br><p><b>Required Technical Skills</b></p><br><ul>
<li>PySpark - Batch and Streaming</li>
<li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li>
<li>NoSQL (preferably MongoDB)</li>
<li>Programming languages: Scala/Python</li>
<li>Great Expectation, or similar DQ framework</li>
<li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li>
<li>Understanding of Data Governance, Data Warehousing and Data Modelling</li>
<li>Good SQL knowledge</li>
</ul><br><p><b>Business</b></p><br><ul>
<li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li>
<li>Proactively identify and contribute with team development initiatives, and supporting junior members</li>
</ul><br><p><b>Good to have skills</b></p><br><ul>
<li>Infrastructure-as-Code, preferably Terraform</li>
<li>Docker and Kubernetes</li>
<li>Looker</li>
<li>AI / ML engineering knowledge</li>
<li>Lineage, or relevant tools e.g. Atlan</li>
<li>DBT</li>
</ul><br> </div>
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<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>
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<b>Who We Are</b><p><b>ABOUT ENOVIS™</b></p><br><p>Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outcomes and transform workflows. Powered by a culture of continuous improvement, global talent and innovation, the Company’s extensive range of products, services and integrated technologies fuels active lifestyles in orthopedics and beyond. For more information about Enovis, please visit www.enovis.com.</p><br><p><b>What You'll Do</b></p><br>Discovers, develops and evaluates new product ideas, enhancements to existing products or strategic product extensions, and translates research discoveries into usable and marketable products. Leads, plans and tracks all phases of the product life cycle, from inception to introduction into the marketplace. Appraises new product ideas to determine their potential to address customer needs and to achieve goals in revenue growth and market share. Establishes product specifications and coordinates with various functions, including Engineering, Manufacturing, Marketing and Sales, to ensure successful product development and implementation. Learns to use professional concepts, applications of basic principles, and theories. Solves routine problems of limited scope and complexity following established policies and procedures. Normally receives detailed instructions on most work. Typically requires a degree and little to no previous professional experience.<p><b><span>EQUAL EMPLOYMENT OPPORTUNITY</span></b><span><br>Enovis provides equal employment opportunities based on merit, experience, and other work-related criteria without regard to race, color, ethnicity, religion, national origin, sex, age, pregnancy, disability, veteran status, or any other status protected by applicable law. We also strive to provide reasonable accommodation to employees’ beliefs and practices that do not conflict with Enovis policies and applicable law. We value the unique contributions that every employee brings to their role with Enovis.</span></p><br> </div>
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About the job Support & Integration Engineer
<p><strong>Vneuron</strong> is a leading RegTech company at the forefront of transforming financial crime compliance. Our advanced solution, <strong>Reis RCS</strong>, streamlines risk management, enhances AML and sanctions screening, and ensures regulatory compliance through real-time monitoring, AI-powered risk detection, and seamless case management.</p><br>
<p>In 2025, Vneuron earned recognition as one of the <strong>Top Innovators in the FinCrimeTech50</strong>, was awarded <strong>Best Compliance as a Service Solution</strong> award at the <strong>RegTech Insight Awards Europe</strong>, and was named to the <strong>AIFinTech100 2025</strong> list. For the fourth consecutive year, we've been honored in the <strong>RegTech100</strong>, a global list of the most innovative companies in the industry.</p><br>
<p>At <strong>Vneuron</strong>, we're shaping the future of compliance and financial crime prevention. Join us in making a real impact in the world of RegTech.</p><br>
Our Culture & Values
<p>Vneuron puts the development of its team at the heart of its priorities. We provide a <strong>pleasant and comfortable work environment.</strong> Our organizational structure is <strong>flat</strong> and <strong>collaborative,</strong> and our management is <strong>available</strong> and <strong>present.</strong></p><br>
<p>We invite you to be part of a passionate and committed <strong>young</strong> team who values respect and sharing spirit. You will be surrounded by highly <strong>skilled technical and functional experts</strong> willing to guide you to evolve in all aspects of your career.</p><br>
<p>We believe that every person is unique and special. Thus, we provide <strong>attentive and active listening to your ideas</strong> and propositions as we believe that you will have an essential role in achieving our next milestone and shaping the future of Vneuron's value proposition.<br></p><br> Key Responsibilities
<p><strong>Application Support & Incident Management</strong></p><br>
<ul><li>Provide N2/N3 application support in compliance with established SLAs and processes.</li><li>Detect, diagnose, prioritize, and resolve application and deployment incidents.</li><li>Coordinate complex escalations with R&D and senior engineering teams.</li><li>Document incident resolutions and actively contribute to the internal knowledge base.</li></ul>
<p><strong>Infrastructure, Deployment & Operations</strong></p><br>
<ul><li>Install, configure, and maintain applications across Linux environments (Dev, Test, Prod).</li><li>Administer middleware and database stacks, including Apache Tomcat, Nginx, and PostgreSQL.</li><li>Manage secure remote access and operations via SSH/SFTP.</li><li>Handle Change Requests and support the delivery of new features to clients.</li></ul>
<p><strong>Automation & Security</strong></p><br>
<ul><li>Automate deployment and configuration processes using Ansible and scripting languages.</li><li>Implement security best practices and remediate vulnerabilities identified in security audits.<br></li></ul> Profile & Requirements
<ul><li>Strong customer-oriented mindset with the ability to build trusted client relationships</li><li>Excellent listening, problem-solving, and analytical skills</li><li>Clear written and verbal communication skills</li><li>Ability to work under pressure while respecting SLAs</li><li>Comfortable using AI tools to assist with incident analysis, log interpretation, knowledge base enrichment, automation of repetitive tasks, reporting, and productivity improvement</li><li>Highly organized, detail-oriented, and process-driven</li><li>Flexible, autonomous, and able to handle multiple tasks</li><li>Team player, comfortable working independently or collaboratively</li><li><p>Technical exposure or experience with:</p><br></li></ul> <p>- Apache Tomcat, Nginx, Postman<br>- PostgreSQL, JavaScript, ETL<br>- JIRA ITSM, Spring integration</p><br> <ul><li>Fresh graduates are welcome to apply</li></ul> What do we offer?
<ul><li>The opportunity to work in exciting contexts and to help generate a positive impact around the world.</li><li><strong>Career Growth opportunity</strong></li><li>Healthcare and wellness Benefits to you and your family</li><li>An evolving and pleasant environment that challenges you to develop new skills</li><li>Appropriate conditions to help you focus on what you love doing</li><li>A winning team that has relied on Respect, Sharing, and Passion for what it does</li><li>Equal Employment Opportunities no matter your gender, religious, culture, etc</li></ul> Your Next Steps
<p>If you have the ambition to stimulate your career with new challenges while capitalizing on your potential and your perpetual thirst for learning, this job is for you.</p><br>
<p><strong>Apply Now</strong> and become the next Spark!</p><br>
<p>Follow us on LinkedIn to <strong>learn more about the Spark team</strong> and our Spark solutions.</p><br>
<p>We would be delighted to meet you and give you much more information!</p><br> <br>
<br> </div>
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<p><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b><br><span>• Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions.</span><br><span>• Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration.</span><br><span>• Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality.</span><br><span>• Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices.</span><br><span>• Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling.</span><br><span>• Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews.</span><br><span>• Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence.</span><br><span>• Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</span><br><span>• Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</span><br><span>• Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</span><br><span>• Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</span><br><span>• Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</span><br><span>• Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</span><br><span>• Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</span><br><span>• Strong debugging, troubleshooting, and incident response capabilities in production environments.</span><br><span>• Experience contributing to collaborative software development processes using modern version control and DevOps practices.</span><br><b>Other Qualifications:</b><br><span>• Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</span><br><span>• Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</span><br><span>• Strong analytical thinking, problem-solving, and decision-making skills.</span><br><span>• Excellent communication and collaboration abilities in cross-functional team environments.</span><br><span>• Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</span><br><span>• Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available</span></b> <span>here</span><span><b><i>.</i></b></span></p><br> </div>
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<p><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b><br><span>• Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0.</span><br><span>• Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability.</span><br><span>• Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies.</span><br><span>• Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems.</span><br><span>• Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks.</span><br><span>• Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery.</span><br><span>• Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</span><br><span>• Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks.</span><br><span>• Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles.</span><br><span>• Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning.</span><br><span>• Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD).</span><br><span>• Experience working with API gateway platforms such as Kong, Apigee, or similar technologies.</span><br><span>• Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation.</span><br><span>• Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.</span><br><b>Other Qualifications:</b><br><span>• Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus.</span><br><span>• Knowledge of cloud-native architectures and modern distributed systems is preferred.</span><br><span>• Strong analytical, problem-solving, and communication skills.</span><br><span>• Demonstrated ability to learn emerging technologies and apply them in innovative business solutions.</span><br><span>• Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available</span></b> <span>here</span><span><b><i>.</i></b></span></p><br> </div>