وظائف مهندسين سلامة وصحة مهنية في تونس

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><b>Basic Qualifications:</b><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles. Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments. Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices. Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services. Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms. Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration. Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions. Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices. Proficiency in automation scripting using Bash, Python, or similar languages.</p><b>Other Qualifications:</b><p>Experience with infrastructure-as-code and cloud automation technologies is a plus. Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and collaboration skills with cross-functional technical teams. Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</p>

<p><font dir="auto" ><font dir="auto" >Design, validate, and develop manufacturing and inspection documentation (routings, instruction sheets, bills of materials, allocations). Manage process modifications and ensure technical and documentary compliance. Analyze performance gaps and propose corrective and preventive action plans. Participate in risk analyses (FMEA, MFT, etc.) and the implementation of new processes. Contribute to the qualification and requalification of special processes. Ensure the industrialization/production handover and maintain operational readiness. Lead or co-lead Lean projects (VSM, 5S, SMED, line setup, visual management, etc.). Identify and prioritize areas for improvement on production lines. Contribute to a culture of continuous improvement and support technicians in implementing actions. Monitor performance indicators (OEE, scrap, non-quality, cycle time). Define production resource requirements (machines, jigs, tooling, etc.) and validate their technical conformity. Manage their commissioning, validation, and obsolescence. Coordinate technical training for operators and technicians on their use. Participate in the design or adaptation of workstations (ergonomics, safety, workflow).</font></font></p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" ><font dir="auto" >Analytical, synthesis and structuring skills</font></font></li><li><font dir="auto" ><font dir="auto" >Interpersonal communication</font></font></li><li><font dir="auto" ><font dir="auto" >Cross-functional project management (steering)</font></font></li><li><font dir="auto" ><font dir="auto" >Results orientation</font></font></li><li><font dir="auto" ><font dir="auto" >Group animation</font></font></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our company manages one of the largest Elasticsearch clusters in France, powering a high-performance search engine applied to one of the most exhaustive global patent databases on the market. Within the "Data as a Service" (DaaS) team, we are the software and architectural core of this platform. We design data structures (mappings), develop massive ingestion pipelines, write custom plugins for Elasticsearch, and manage the query and caching backend. The DaaS team is responsible for application performance, index optimization, and result relevance. As part of our business development in Tunisia, we are looking for an Expert Elasticsearch and Backend Java Engineer to become a technical expert in our local team and collaborate closely with the teams in France.</p><p>Your Missions:</p><p>Reporting to the DaaS team, your responsibilities will cover the entire data lifecycle and Elasticsearch performance, from development to production investigation:</p><p>1. Elasticsearch Design &amp; Performance:</p><p>Design, optimize, and evolve data modeling (mappings, tokenizers, analyzers, data types) to ensure fast searches on millions of large documents.</p><p>Develop specific extensions and plugins in Java directly integrated with Elasticsearch to meet complex business needs for patent processing.</p><p>Actively participate in the preparation, testing, and validation of major and minor versions of the ES cluster.</p><p>2. Backend Development &amp; Pipelines (Java):</p><p>Develop and maintain the Elasticsearch query management backend and high-performance caching systems.</p><p>Design and optimize data loading programs (massive / batch data ingestion) and real-time index update flows.</p><p>3. Monitoring, Optimization &amp; Production Support:</p><p>Analyze cluster performance (Search &amp; Indexing throughput, latencies, JVM usage, Garbage Collection, Heap) for proactive optimization.</p><p>Be the technical point of contact for production incident investigations (in collaboration with the Systems team): slow queries, unstable nodes, etc.</p><p>Ensure capacity planning from an application perspective (sizing of shards, segments, nodes).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><b>Technical Skills (Hard Skills):</b></li><li><b>Elasticsearch Expertise:</b> You have a mastery of Elasticsearch's internal architecture (Lucene, sharding, segments, index lifecycle, advanced aggregations). You know how to profile and optimize complex queries (Query DSL). You are familiar with indexing and searching text-based documents.</li><li><b>Java Development:</b> Perfect mastery of Java (Core, Concurrency, Performance) for backend development, pipelines, and ideally ES plugins.</li><li><b>Performance &amp; Internals:</b> Excellent knowledge of the JVM (tuning, GC log analysis, thread dumps, heap dumps).</li><li><b>Python Development:</b> Knowledge of Python and data manipulation libraries (pandas).</li><li><b>Data &amp; CI/CD Ecosystem:</b> Good knowledge of build and containerization tools (Maven, Git, Docker).</li><li><b>Human and Relational Qualities (Soft Skills):</b></li><li><b>Autonomy and Rigor:</b> Ability to propose optimizations and carry subjects end-to-end in a context.</li><li><b>Analytical and Investigative Mindset:</b> You enjoy digging into logs and metrics to solve complex performance issues (troubleshooting problems).</li><li><b>Communication:</b> Excellent level of French (written and oral) for daily interaction with the team based in France.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>CCoE, Cloud Architect<br><b>Job Description:</b><p>The Cloud and AI Center of Excellence is the technical resource for helping partners grow and manage their cloud business. As a member of this integral team you will be exposed to all the hyperscalers and many ISVs that reside in that ecosystem. You will also understand how partners work with these providers to design and implement innovative solutions for the SMB and Enterprise.<br>You will become a trusted advisor and guide for driving revenue at scale through ArrowSphere, our cloud management platform.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li>Consult, develop and implement technical and related sales enablement plans with partners and internal/external customers to support revenue and margin goals.</li><li>Provide Technical Support, complex sales tool configurations, and systems design to implement systems software solutions and/or products.</li><li>Conduct partner and sales technical team training. Assist Arrow customers and partners with technical certifications, or with product/technology demonstrations.</li><li>Obtain training and maintain knowledge of industry standards, new technologies and current issues.</li><li>This job profile requires the assignment and participation in a sales compensation plan. &nbsp;A portion of OTE will be variable and tied to specific sales-related goals as set forth by Arrow.</li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li>Certified Solutions Architect or Solutions Engineer in at least one of the major hyperscalers is required.</li><li>Experience and knowledge working with partners in the cloud ecosystem is required.</li><li>Required to travel up to 50% of the time.</li><li>Requires in-depth knowledge and experience</li><li>Solves complex problems; takes a new perspective using existing solutions</li><li>Works independently; receives minimal guidance</li><li>Acts as a resource for colleagues with less experience</li><li>Represents the level at which career may stabilize for many years or even until retirement</li><li>Uses best practices and knowledge of internal or external business issues to improve products/services or processes</li><li>Typically resolves complex problems or problems where precedent may not exist</li><li>Often leads the work of project teams; may formally train junior staff&nbsp;</li><li>Works independently</li></ul><p><br><b>Experience / Education</b></p><br><br><p>Typically requires a minimum of 5 years of related experience with a 4 year degree; or 6 years and an advanced degree; or equivalent experience.</p><br><br><br><p><b>Work Arrangement</b></p><br><br><p><span><span>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.&nbsp;</span></span></p><br><br><br><p><b>What's In It For You</b></p><br><br><p><span><span>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.</span><span>That’s</span><span>why we offer competitive financial compensation, including various compensation plans and a solid benefits package.</span></span></p><br><br><ul><li><span><span>401k, With Matching Contributions</span></span></li><li><span><span>Short-Term/Long-Term Disability Insurance</span></span></li><li><span><span>Medical, Dental, Vision Insurance</span></span></li></ul><br><ul><li><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options</span></span></li><li>Reinstatement return eligible</li><li><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></li><li><span><span>Tuition Reimbursement</span></span></li><li><span><span>Growth Opportunities</span></span></li><li><span><span>And more!</span></span></li></ul><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$115,800.00 - $160,050.00<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-CO-Colorado (Remote Employees)<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Nous recherchons un Ingénieur Géomatique maîtrisant ArcGIS et QGIS pour renforcer notre équipe SIG et accompagner nos projets de cartographie et d’analyse spatiale. Missions principales : Collecter, intégrer et mettre à jour les données géographiques (terrain, open data, données clients…). Produire des cartes,...</p> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</li><li>Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</li><li>Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</li><li>Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</li><li>Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</li><li>Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</li><li>Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</li><li>Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</li><li>Proficiency in automation scripting using Bash, Python, or similar languages.</li><li>Experience with infrastructure-as-code and cloud automation technologies is a plus.</li><li>Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</li><li>Strong problem-solving, troubleshooting, and analytical skills.</li><li>Excellent communication and collaboration skills with cross-functional technical teams.</li><li>Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>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>

<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>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>