وظائف مهندس ديكور في تونس

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Creates and reviews test technology local work instructions</p><p>Supports:</p><ul><li>test equipment and test tools development (design, test modules, specific processes, etc.)</li><li>technical error analyses for customer claims and complaints</li><li>the identification of root causes in case of process disturbances and searching for solutions</li></ul><p>Creates and develops the test sequences and programs according to requirements</p><ul><li>for building of test tables, test boards and vision tests, internally or externally</li><li>for installation and validation of test equipment</li><li>in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management)</li></ul><p>Ensures test programs and tests parameters used during initial setup</p><p>Provides feedback to Production Technology related to test modules functionality and design</p><p>Ensures backup of test programs and test parameters</p><p>Implements lessons learned, best practice and actively shares the information within the Production Management network</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University Degree</li><li>2 years in the automotive industry are appreciated</li><li>Microsoft Office</li><li>Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; result-orientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork</li><li>Equipment Maintenance /Preventative and Predictive Maintenance /Equipment Repair /Machine Operations /Machine Tools/Maintenance of electrical control panels and/or preparation</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>&nbsp;Challenge requirements that lead to:</span></p><br><br><ul><li><span>Over‑customization</span></li><li><span>Unmaintainable solutions</span></li></ul><p>&nbsp;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.&nbsp;</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.&nbsp;</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p><strong>LEONI is a global provider of products, solutions, and services for energy and data management in the automotive industry. With around 87,000 employees in 21 countries and EUR 5 billion in sales in 2024, we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</strong></p><br><p><strong>We believe that meaningful connections drive innovation and success. At LEONI, you will join a diverse, international, and collaborative team shaping the future of mobility, from autonomous driving to alternative drives and smart charging solutions.</strong></p><br><p><strong>Since mid‑2025, we have been part of the Luxshare Group, one of the world’s leading solution providers for consumer electronics, communications and data centers, automotive, and medical industries, based in China. Join us and help shape the future of connectivity together.</strong></p><br><br><br>Job Description<p>- Creates and reviews test technology local work instructions<br></p><br><p>- Supports: - test equipment and test tools development (design, test modules, specific processes, etc.) - technical error analyses for customer claims and complaints - the identification of root causes in case of process disturbances and searching for solutions<br></p><br><p>- Creates and develops the test sequences and programs according to requirements - for building of test tables, test boards and vision tests, internally or externally - for installation and validation of test equipment - in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management)<br></p><br><p>- Ensures test programs and tests parameters used during initial setup<br></p><br><p>- Provides feedback to Production Technology related to test modules functionality and design<br></p><br><p>- Ensures backup of test programs and test parameters<br></p><br><p>- Implements lessons learned, best practice and actively shares the information within the Production Management network</p><br><br><br>Qualifications and Experience<ul><li><strong><em>Level of Education :</em></strong>&nbsp;University Degree</li><li><strong>Branch of study :&nbsp;</strong>Electrical - Mechanical - Mechatronics or similar</li><li><strong>Experience :</strong>&nbsp;2 years in the automotive industry are appreciated&nbsp;</li><li><em><strong>IT:</strong></em>&nbsp;Microsoft Office</li><li><strong><em>Social competences:</em></strong>&nbsp;Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; result-orientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork</li><li><em><strong>Professional competences:</strong></em>&nbsp;Equipment Maintenance /Preventative and Predictive Maintenance /Equipment Repair /Machine Operations /Machine Tools/Maintenance of electrical control panels and/or preparation</li></ul><br> </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"> <b>Position:</b>Applications Engineer<br><b>Job Description:</b><p><span><b><span>What You’ll Be Doing:</span></b></span></p><br><br><ul><li><p><span>Designs and develops software solutions to meet business requirements. Manages full software development life cycle including testing, implementation, and auditing. Performs product design, bug verification, and beta support, which may require research and analysis. Operates under moderate supervision. Usually reports to the Manager of Software Development. </span></p><br><br></li><li><p><span>Execute, assess, and troubleshoot software programs and applications. Analyze and amend software errors in a timely and accurate fashion. </span></p><br><br></li><li><p><span>Coding, developing, and documenting software specifications throughout the project life cycle. Participate in software upgrades, revisions, fixes and patches as mandated by the vendor.</span></p><br><br></li></ul><br><p><span><b><span>What We Are Looking For:</span></b></span></p><br><br><ul><li><p><span>Typically requires 5–7 years of related experience with a 4 year degree; or 3 years and an advanced degree; or equivalent work experience.</span></p><br><br></li><li><p><span>Requires in-depth knowledge and experience </span></p><br><br></li><li><p><span>Solves complex problems; takes a new perspective using existing solutions </span></p><br><br></li><li><p><span>Works independently; receives minimal guidance </span></p><br><br></li><li><p><span>Acts as a resource for colleagues with less experience </span></p><br><br></li><li><p><span>Represents the level at which career may stabilize for many years or even until retirement </span></p><br><br></li><li><p><span>Contributes to process improvements </span></p><br><br></li><li><p><span>Typically resolves problems using existing solutions </span></p><br><br></li><li><p><span>Provides informal guidance to junior staff </span></p><br><br></li><li><p><span>Works with minimal guidance</span></p><br><br></li></ul><br><p><b><span>Work Arrangement: </span></b><span><span>Fully In Office: Monday-Friday&nbsp;</span></span></p><br><br><br><p><span><b><span>What’s In It For You:</span></b></span></p><br><br><p><span>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.&nbsp;</span></p><br><br><br><ul><li><p><span><span>Medical, Dental, Vision Insurance&nbsp;</span></span></p><br><br></li><li><p><span><span>401k, With Matching Contributions&nbsp;</span></span></p><br><br></li><li><p><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></p><br><br></li><li><p><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options&nbsp;</span></span></p><br><br></li><li><p><span><span>Growth Opportunities&nbsp;</span></span></p><br><br></li><li><p><span><span>Tuition Reimbursement</span></span></p><br><br></li><li><p><span><span>Short-Term/Long-Term Disability Insurance&nbsp;</span></span></p><br><br></li><li><p><span><span>Climate controlled environment with excellent break room facilities&nbsp;</span></span></p><br><br></li><li><p><span><span>Located in central Reno, near public transportation (RTC Route 56)</span></span></p><br><br></li><li><p><span><span>And more!</span></span> ​</p><br><br></li></ul><br><p>Are you being referred to one of our roles? If so, ask your connection at Arrow about our Employee Referral Process!&nbsp;</p><br><br><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$87,900.00 - $115,115.00<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-NV-Reno, Nevada (Maestro Dr)<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>Information Technology<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"> <span>Description Smeetz is an AI-powered unified commerce platform for the European leisure and entertainment industry.<br> Theme parks, family entertainment centres, museums, zoos, and theatres run their ticketing, seating, F&amp;B, and payments on us.<br> This role owns our two AI surfaces: the Smeetz MCP server and the AI chatbot.<br> You own them end to end.<br> You talk to the venues using them, you decide what to build next, you write the production code, and you watch what happens once it is live.<br> There is no product manager between you and that decision.<br> Reports to the VP of Engineering.<br> No direct reports.<br> The authority in this role is over a surface area, not over people.<br> Key responsibilities A product engineer owns a piece of the product end to end: choosing what to build, building it, and improving it once real customers are using it.<br> Here that piece is our AI surfaces.<br> Own the Smeetz MCP server and the AI chatbot.<br> Both are yours end to end: the tool surface, the agent behaviour, and the guardrails on what they are allowed to do.<br> Decide what to build next.<br> Run discovery on your own area.<br> Talk to venue operators, read the traces, pick the work, write the spec yourself, ship it, then measure it.<br> Own reliability and performance.<br> Latency, error rates, and the call patterns clients actually generate.<br> You get full observability data to work from and the mandate to act on it.<br> Build the eval layer.<br> Make prompt and model changes measurable before they ship, not after a customer notices.<br> Write things down.<br> The surfaces you own should be understandable by the next engineer without you in the room.<br> Documentation sits in your objectives, not in the gap at the end of a sprint.<br> Raise the bar on AI-native delivery.<br> Extend our shared Claude Code skill library so the rest of engineering ships the way you do.<br> A published dual career ladder.<br> Grow to Staff AI Product Engineer without becoming a manager, on pay bands comparable to the management track.<br> Full ownership of two AI surfaces that are core product, not a side project.<br> Direct contact with the venue operators who use what you build.<br> Modern AI-native tooling: Claude Code with a shared internal skill library.<br> Fully remote position.<br> Competitive salary based on experience.<br> Band to confirm.<br> Professional requirements Minimum 5 years shipping production code, including at least one system you owned end to end with the on-call that comes with it.<br> Minimum 2 years building LLM features that reached real users: tool calling, structured outputs, evals, cost and latency control, and the failure modes that only appear in production.<br> Prototypes do not count.<br> Demonstrated expertise in an AI-native SDLC.<br> You work in Claude Code or an equivalent agentic environment every day, and you build your own skills, hooks, and automations rather than using AI as autocomplete.<br> Be ready to show what you automated and what it replaced.<br> Experience designing an API or tool surface for agents rather than for humans: naming, granularity, and error messages a model can recover from without a human stepping in.<br> You run discovery yourself.<br> Bring customer conversations you led, specs you wrote, and success metrics you set and were measured against.<br> Fluent in English.<br> Additional preferred skills Langfuse, or another LLM observability tool such as LangSmith, Braintrust, or Phoenix.<br> Ours is Langfuse and it is already wired into the MCP server.<br> The MCP specification itself, beyond having used it as a client.<br> The Anthropic Claude API and tool use.<br> Most of what we build sits on Claude.<br> Retrieval and evals over a support knowledge base.<br> Intercom Fin experience is directly relevant.<br> Guardrails for agents with write access: permissions, confirmation steps, prompt injection, PII.<br> French or German.<br> Personal attributes Owner: Defaults to ownership.<br> The surface works because you are in the seat.<br> AI-native: Lives inside Claude and agents.<br> Treats AI as leverage, not as a side project.<br> Product-minded: Starts from the operator's problem, not from the ticket.<br> Decisive: Kills their own ideas and can say what they gave up and why.<br> Writer: Leaves the codebase better documented than they found it.<br> At ease in ambiguity: There is no groomed backlog for this area.<br> That is the appeal, not the problem.<br> Measured: Defines success before building and accepts the number.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Participate in risk analysis and classify industrialization criticality. Conduct manufacturability and inspectability analysis of the product. Formalize the preliminary production scheme (development and series). Identify preliminary industrialization needs and requirements, and initiate the industrial validation file (DVI). Contribute to the development of the industrialization plan. Pilot or actively participate in FMEA process. Design the series manufacturing and assembly process: Formalize the production scheme. Identify key process characteristics. Define series acceptance test procedures. Validate production Bills of Materials. Draft specifications for manufacturing, assembly, and inspection tooling. Draft specifications for series test benches. Validate product packaging and preservation specifications. Contribute to the production preparation plan. Implement necessary actions to mitigate identified risks. Contribute to technical analyses and expertise in case of product or process issues. Actively participate in technological watch related to their scope of activity.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Agile</li><li>Solution-oriented</li><li>Realistic</li><li>Analytical skills</li><li>Synthesis skills</li><li>Good listener</li><li>Team spirit</li><li>Rigor</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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.&nbsp;</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.&nbsp;That’s&nbsp;why we offer competitive financial compensation, including various compensation plans and a solid benefits package.&nbsp;</p><br><br><ul><li><p>Medical, Dental, Vision Insurance&nbsp;</p><br><br></li></ul><ul><li><p>401k, With Matching Contributions&nbsp;</p><br><br></li></ul><ul><li><p>Short-Term/Long-Term Disability Insurance&nbsp;</p><br><br></li></ul><ul><li><p>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options&nbsp;</p><br><br></li></ul><ul><li><p>Paid Time Off&nbsp;(including&nbsp;sick, holiday, vacation, etc.)&nbsp;</p><br><br></li></ul><ul><li><p>Tuition Reimbursement&nbsp;</p><br><br></li></ul><ul><li><p>Growth Opportunities&nbsp;</p><br><br></li></ul><ul><li><p>And more!&nbsp;</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. &nbsp;</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.&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> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Main duties: System Specifications management: Deep dive analyzes of system specifications and issues et inconsistency detection. System Modeling: create detailed modeling of systems based on structure diagrams, sequence diagrams and state machine diagrams. Ensuring the right traceability between the model and the specifications. Troubleshooting and resolving technical issues within assigned function. Validation of the model through simulations and issue analyses to ensure system and model reliability. Leading discussions and managing workflows between different teams, including development, suppliers and others. Delivering detailed testing reports and progress updates to stakeholders. Working to improve the function and deliver the best possible product for customers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Level : Bac + 5</li><li>Schools : ENIS, ENIG, ENIT, ENISo</li><li>Diploma : Engineer</li><li>Option : Electric, Electronics, - Electromechanics, Automatic</li><li>Required experience : 0 5 years</li><li>Languages : Frensh, English</li><li>Software skills : Rhapsody, EWM, Visio</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Define deliverables for each milestone or change window, ensuring clear objectives. Check and validate activities to reach milestones and resolve issues. Active participation in status / review meeting with stakeholders. Ensure communication and escalation within the program team and management. Identify, anticipate and manage technical discussion to drive for issues resolution. Ensure the availability of component s packages and coordinate development with interface components. Handle suppliers management in critical situations. Create and maintain projects overview. Coordinate Review and follow up development activities of components and data files to match Top Hat Milestone. Delegate responsibilities to appropriate stakeholders for efficient execution. Control cost, timing, performance, and quality to meet program targets. Document meeting outcomes (MoM) with key discussions, assigned actions, and next steps. Document lessons learned to improve future project execution. Guarantee on-time delivery.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Level : Engineer</li><li>Schools : Engineering Schools</li><li>Diploma :Electrical/Mechanical engineer</li><li>Option : Electrical/Mechanical</li><li>Required experience: Beginner/Junior</li><li>Languages : English/Frensh</li><li>Software skills : Problem solving,Time Management ,Communication, Team-work, Result-oriented (prioritize efficiency, performance, and productivity), Root-cause Analysis (Ability to synthesize and analyze),Decision-making, Leadership skills and Team Management.</li></ul><p></p></section>

<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>&nbsp;</p>