Refrigeration And Air Conditioning Engineer Jobs in Tunisia

<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"> <p>Venari Security is looking for a senior platform-minded integration engineer, architect, or independent consultant who can take ownership of complex integration capabilities from specification through design, build, validation, and delivery.</p><br> <p>This is not a narrow coding assignment. You will define and deliver production-grade integrations that connect Venari’s Adaptive Cryptographic Intelligence Platform with leading cloud providers, cybersecurity platforms, enterprise systems, and SaaS solutions. The ideal candidate can understand an existing platform architecture, identify the right extension points, specify the subsystem to be built, and deliver it autonomously with the right security, reliability, and operational foundations.</p><br> <p>You will work at the intersection of platform engineering, cloud architecture, API design, and integration security, helping Venari build a scalable integration layer for AWS, Azure, major cybersecurity ecosystems, and high-value SaaS environments.</p><br> <p><span>Mission and Scope of Work</span></p><br> <ul> <li>Own the end-to-end delivery of integration subsystems: clarify requirements, write technical specifications, design the architecture, build the services, validate behavior, and prepare production release.</li> <li>Design scalable integration patterns for major cloud providers, especially AWS and Azure, including secure access, discovery, data ingestion, event handling, and operational monitoring.</li> <li>Build robust APIs, connectors, webhooks, and integration services for cloud platforms, cybersecurity tools, CMDBs, SIEMs, vulnerability management platforms, identity providers, and enterprise SaaS solutions.</li> <li>Implement secure authentication, authorization, and secret-management flows using standards such as OAuth2, OpenID Connect, SSO, RBAC, API keys, signed requests, and cloud-native identity mechanisms.</li> <li>Understand Venari’s platform architecture and build on top of it without creating isolated, hard-to-maintain components.</li> <li>Deliver integration configuration workflows and UI components that make setup, testing, monitoring, and troubleshooting simple for users.</li> <li>Build for production from the start: observability, retries, rate-limit handling, caching, error handling, auditability, automated tests, documentation, and deployment readiness.</li> </ul> <p><span>What You Will Deliver</span></p><br> <ul> <li>Clear technical specifications for each integration subsystem, including architecture, data flows, security model, edge cases, and delivery plan.</li> <li>Production-ready backend services, APIs, connectors, and integration components aligned with Venari’s platform architecture.</li> <li>Secure cloud and SaaS integration capabilities for AWS, Azure, and selected enterprise platforms.</li> <li>Authentication and authorization modules covering OAuth2, OpenID Connect, SSO, RBAC, token lifecycle, and secure credential handling.</li> <li>Configuration screens, validation workflows, and operational views that allow users to configure, test, and monitor integrations.</li> <li>Automated tests, CI/CD readiness, logging, metrics, deployment notes, and technical documentation that allow the core team to maintain and extend the work.</li> </ul> <p><span>What We Are Looking For</span></p><br> <ul> <li>A senior engineer, architect, or technical consultant with more than 10 years of experience delivering enterprise software solutions at scale, with proven ability to specify, build, and deliver systems or subsystems autonomously, not only implement assigned tickets.</li> <li>Strong ability to understand an existing SaaS platform architecture, identify reusable platform capabilities, and build extensions that are coherent, maintainable, and scalable.</li> <li>Hands-on experience with cloud integrations on AWS and Azure, including IAM, service APIs, event services, networking constraints, credentials, permissions, and security boundaries.</li> <li>Strong API engineering background, including REST APIs, webhooks, asynchronous integration patterns, API gateways, rate limiting, pagination, retries, versioning, and backward compatibility.</li> <li>Deep understanding of integration security: OAuth2, OpenID Connect, SSO, RBAC, least privilege, token handling, secrets management, encryption in transit, audit logging, and secure error handling.</li> <li>Strong backend engineering experience, ideally with Spring Boot, microservices, containers, automated testing, and production-grade observability.</li> <li>Ability to communicate architecture decisions clearly, write practical technical documentation, and collaborate with product, frontend, backend, infrastructure, and security stakeholders.</li> </ul> <p><span>Experience That Will Stand Out</span></p><br> <ul> <li>Delivered integrations with AWS services, Azure services, identity providers, security tools, observability platforms, CMDBs, SIEMs, vulnerability management tools, or enterprise SaaS products.</li> <li>Built integration platforms, connector frameworks, developer-facing APIs, or extensibility layers used by multiple customers or product teams.</li> <li>Experience with event-driven architectures, queues, streaming, scheduling, sync engines, data pipelines, Kafka, CrateDB, PostgreSQL, or similar technologies.</li> <li>Hands-on experience with Docker, Kubernetes, Terraform, Helm, cloud-native deployment models, and CI/CD automation.</li> <li>Strong product sense: able to translate an integration use case into a reliable user workflow, not only a technical connector.</li> </ul> <p><span>Why This Is Interesting</span></p><br> <ul> <li>You will help shape the integration layer of a platform focused on cryptographic discovery, crypto agility, and the security challenges created by modern encrypted infrastructure.</li> <li>You will build integrations at scale with the platforms that matter most to enterprise customers: cloud providers, cybersecurity ecosystems, identity platforms, and SaaS solutions.</li> <li>You will have real ownership: define the right approach, make architecture decisions, deliver working subsystems, and leave behind a foundation the product team can extend.</li> <li>You will work on a technically meaningful problem where cloud security, API design, platform architecture, and product usability meet.</li> </ul> <p><span>Engagement Details</span></p><br> <ul> <li>Contract Type: Project-based (Independent Consultant / Contractor)</li> <li>Duration: Initial 3-month engagement, with extension subject to review of progress and delivery quality.</li> <li>Location: Hybrid</li> <li>Start Date: ASAP</li> </ul> <p><span>About Venari Security</span></p><br> <p>Venari Security provides organisations with advanced visibility into their encrypted attack surface, ensuring regulatory compliance and privacy adherence through our cryptographic discovery tool. Our focus is on crypto agility which helps you assess both external and internal cryptographic risks, preparing your business now and for the quantum future.</p><br> </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>

<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>• Administer Windows and/or Linux server environments, virtualisation platforms, storage and associated infrastructure services.<br> • Monitor availability, capacity and performance; investigate alerts and restore service within agreed priority and escalation procedures.<br> • Plan and execute approved patching, configuration changes, hardening and lifecycle maintenance.<br> • Maintain server inventories, configuration records, operating procedures, diagrams and technical runbooks.<br> • Support incident, problem and change management, including root-cause analysis and corrective actions.<br> • Coordinate infrastructure dependencies with network, cloud, backup, cybersecurity, application and database teams.<br> • Support discovery, baseline assessment and transition activities for on-premises and any subsequently approved hosted environment.<br> • Participate in agreed on-call coverage for critical infrastructure incidents.<br> • Minimum 6 years of relevant infrastructure and server administration experience.<br> • Strong hands-on experience with Windows Server and/or enterprise Linux, Active Directory and virtualisation technologies.<br> • Practical knowledge of monitoring, patch management, storage, capacity planning and security hardening.<br> • VCP, MCSE/Microsoft role-based certification, RHCSA or Server+ preferred.<br> • Ability to produce clear technical documentation and work within controlled change processes.<br> • Experience operating hybrid on-premises and cloud environments.<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><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>

<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>

<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>

<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>

<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"> About the job Ingénieur Solutions Junior - TBML <p>L'Ingénieur(e) Solutions Junior participe à la mise en œuvre de notre solution TBML chez nos clients internationaux : préparation des environnements, intégration des données, tests, mise en production et accompagnement des utilisateurs. Le poste combine des dimensions techniques, fonctionnelles et relationnelles, en lien direct avec les clients, en français et en anglais, et en collaboration étroite avec nos équipes Produit, R&amp;D, QA et DevOps.</p><br> <p><strong><br>À propos de Vneuron et de Reis RCS</strong></p><br> <p><strong>Vneuron</strong> est une entreprise RegTech de premier plan, spécialisée dans la transformation de la conformité en matière de lutte contre la criminalité financière. Sa solution avancée, <strong>Reis RCS</strong>, optimise la gestion des risques, le filtrage AML et sanctions, et assure la conformité grâce à une supervision en temps réel, une détection des risques par IA et une gestion intégrée des dossiers.</p><br> <p>En 2025, Vneuron a été reconnue parmi les <strong>Top Innovators du FinCrimeTech50</strong>, a remporté le prix de la <strong>Meilleure solution de Compliance as a Service</strong> aux <strong>RegTech Insight Awards Europe</strong>, et figure dans l'<strong>AIFinTech100 2025</strong>. Elle est également distinguée pour la quatrième année consécutive dans le <strong>RegTech100</strong>.</p><br> <p>Chez Vneuron, nous construisons l'avenir de la conformité financière.</p><br> <p><strong>Notre culture et nos valeurs</strong></p><br> <p>Chez Vneuron, le développement de notre équipe est au cœur de nos priorités. Nous offrons un <strong>environnement de travail agréable et confortable</strong>, au sein d'une organisation <strong>collaborative</strong> et à structure <strong>plate</strong>, avec un management accessible et impliqué.</p><br> <p>Nous sommes portés par une équipe <strong>jeune</strong>, passionnée et engagée, où règnent le respect et l'esprit de partage. Vous évoluerez aux côtés d'<strong>experts chevronnés</strong> qui vous accompagneront dans le développement de votre carrière, tant sur le plan technique que personnel.</p><br> <p>Notre ambition est de diffuser nos technologies innovantes à l'échelle mondiale pour contribuer à un impact positif durable.</p><br> <p>Parce que nous croyons que chaque personne est unique et précieuse, nous valorisons l'<strong>écoute active de vos idées et propositions</strong>. Vous jouerez un rôle essentiel dans la réalisation de nos prochaines étapes stratégiques.</p><br> <p><strong><br>Missions principales</strong></p><br> <ul><li>Installer, configurer et déployer la solution TBML dans différents environnements : cloud, on-premise, test et production</li><li>Préparer les environnements et vérifier les prérequis techniques avant chaque installation</li><li>Participer à l'intégration des données, documents et flux Trade Finance provenant des systèmes clients</li><li>Configurer les différents composants de la solution, les référentiels et les scénarios de détection selon les besoins du projet</li><li>Contrôler la qualité et la cohérence des données intégrées dans la plateforme</li><li>Réaliser les tests techniques et fonctionnels, les sanity checks et les validations avant mise en production</li><li><span>Diagnostiquer et résoudre les problèmes liés à l'installation, à la configuration, aux données ou aux environnements</span></li><li>Participer aux ateliers de cadrage, démonstrations, recettes et réunions de suivi avec les clients</li><li>Présenter clairement l'état d'avancement, les résultats obtenus, les difficultés rencontrées et les prochaines étapes</li><li>Accompagner les utilisateurs dans la prise en main de la solution et répondre à leurs questions fonctionnelles ou techniques</li><li>Assurer le suivi des demandes et incidents clients jusqu'à leur résolution</li><li>Recueillir les retours des utilisateurs et les transmettre de manière structurée aux équipes Produit et R&amp;D</li><li>Rédiger et maintenir les procédures d'installation, guides de configuration, comptes rendus et documents d'exploitation</li></ul> <p><strong>Profil &amp; compétences</strong></p><br> <ul><li>Diplôme d'ingénieur en informatique, systèmes d'information, data ou domaine équivalent</li><li>Première expérience, stage ou projet significatif en développement, intégration, support applicatif ou mise en œuvre de solutions logicielles</li><li>Bonnes bases en Linux, Docker, bases de données, SQL et applications web</li><li>Aisance avérée avec les outils d'IA</li><li>Connaissances en Java, Spring Boot, Angular, PostgreSQL, Elasticsearch ou technologies similaires appréciées</li><li>Capacité à comprendre rapidement une architecture technique, des flux de données et des problématiques fonctionnelles</li><li>Très bon niveau de français et d'anglais, à l'écrit comme à l'oral</li><li>Aisance pour échanger avec des interlocuteurs techniques et métiers<br>Capacité à expliquer simplement un sujet technique, à poser les bonnes questions et à reformuler un besoin client</li><li>Esprit d'analyse, curiosité, rigueur et sens des responsabilités</li><li>Autonomie, polyvalence et capacité à intervenir sur des sujets variés</li><li>Disponibilité ponctuelle pour accompagner des mises en production ou des déplacements chez les clients</li></ul> <p><strong>Ce que nous recherchons</strong></p><br> <p>Nous recherchons avant tout une personne <strong>polyvalente</strong>, capable de comprendre un besoin client, de prendre en main une solution technique, d'intégrer des données, de participer à un déploiement et d'investiguer les éventuels problèmes.</p><br> <p>Le poste nécessite également une bonne <strong>qualité de communication</strong> : savoir écouter, expliquer, rassurer, rendre compte de l'avancement et maintenir une relation professionnelle avec le client tout au long du projet.</p><br> <p>Une connaissance de l'<strong>AML</strong>, du <strong>Trade Finance</strong> ou du <strong>TBML</strong> est un plus, mais n'est pas obligatoire. Une formation fonctionnelle et technique à la solution sera assurée.</p><br> <p><strong><br>Avantages</strong></p><br> <ul><li>L'opportunité d'évoluer dans des environnements stimulants et de contribuer à un impact positif à l'échelle mondiale.</li><li>Perspectives de développement de carrière.</li><li>Avantages santé et bien-être pour vous et votre famille.</li><li>Un environnement de travail agréable et évolutif, favorisant l'épanouissement personnel et professionnel.</li><li>Des conditions optimales pour vous permettre de vous concentrer sur ce que vous aimez faire.</li><li>Une équipe soudée, fondée sur le respect, le partage et la passion du métier.</li><li>Une politique d'égalité des chances, sans distinction de genre, de religion ou de culture.</li></ul> <p><strong>Prochaine étape</strong></p><br> <p>Si vous avez l'ambition de dynamiser votre carrière à travers de nouveaux défis, tout en valorisant votre potentiel et votre soif permanente d'apprentissage, ce poste est fait pour vous.</p><br> <p><strong>Postulez dès maintenant</strong> et devenez le prochain <strong>Spark</strong> !</p><br> <p>Suivez-nous sur LinkedIn pour en savoir plus sur l'équipe Spark et nos solutions Spark.</p><br> <p>Nous serons ravis de vous rencontrer et de vous fournir davantage d'informations.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Job Description<br><br><ul><li><strong>Key missions of the position: </strong></li><li>Ensure effective supervision of production operations to meet daily output and delivery targets</li><li>Drive adherence to safety, quality, and process standards across the shop floor</li><li>Manage manpower allocation and ensure optimal utilization of resources</li><li>Monitor production performance and take corrective actions for deviations</li><li>Support continuous improvement activities and maintain operational discipline</li><li>Ensure proper communication and coordination between teams and management</li></ul><p><strong>Measurement</strong></p><br><p><strong>Q: </strong>Production output and process compliance<br><strong>C:</strong> Productivity efficiency and manpower utilization<br><strong>D:</strong> On-time completion of production targets and adherence to schedules</p><br><ul><li>Daily production target achievement</li><li>Productivity and manpower utilization</li><li>Rework / rejection control and issue closure</li><li>Safety compliance and incident reduction</li><li>Process adherence (SOPs, work instructions)</li><li>Kaizen implementation and improvement initiatives</li></ul><ul><li><strong>Main responsibilities:</strong></li></ul><p>Production Supervision &amp; Execution</p><br><ul><li>Supervise day-to-day production activities and ensure smooth workflow across assigned lines or areas</li><li>Ensure production targets are achieved as per plan and schedule</li><li>Monitor execution of work as per assembly instructions, routing cards, and standard operating procedures</li><li>Ensure adherence to defined cycle time and productivity standards</li></ul><p>Manpower Management</p><br><ul><li>Allocate manpower based on production requirements and skill matrix</li><li>Monitor operator performance and ensure effective utilization of resources</li><li>Guide and support operators in resolving day-to-day production issues</li><li>Ensure discipline, attendance, and team coordination on the shop floor</li></ul><p><strong>Process &amp; Compliance</strong></p><br><ul><li>Ensure adherence to safety, quality, and operational standards across all activities</li><li>Verify availability and proper usage of tools, equipment, jigs, and fixtures</li><li>Ensure all start-up checks and safety procedures are followed before production begins</li><li>Ensure compliance with ERP/system-based production tracking and reporting</li></ul><p><strong>Issue Management</strong></p><br><ul><li>Identify production issues, deviations, and bottlenecks during operations</li><li>Escalate issues promptly and ensure timely resolution and closure</li><li>Coordinate with quality, maintenance, and support teams to resolve process disruptions</li><li>Track recurring issues and support preventive actions</li></ul><p><strong>Performance Monitoring &amp; Control</strong></p><br><ul><li>Monitor daily production performance and take corrective actions to bridge gaps</li><li>Ensure adherence to KPIs such as productivity, efficiency, and output targets</li><li>Maintain production records and ensure proper documentation</li><li>Conduct regular follow-ups to ensure action closure</li></ul><p><strong>Continuous Improvement</strong></p><br><ul><li>Drive Kaizen and continuous improvement initiatives at the shop-floor level</li><li>Encourage team participation in process improvements and productivity enhancement</li><li>Support implementation of lean practices such as 5S and standard work</li><li>Identify opportunities to improve efficiency, reduce waste, and optimize processes</li></ul><p><strong>Cross-Functional Coordination</strong></p><br><ul><li>Coordinate with quality, fulfilment, warehouse, and PPC teams for smooth operations</li><li>Ensure material availability and readiness for production activities</li><li>Communicate production status, issues, and updates to higher management</li><li>Support implementation of organizational and operational initiatives</li></ul><p><strong>People Management &amp; Development</strong></p><br><ul><li>Supervise and guide operators and technicians on the shop floor</li><li>Train and support new employees on processes, safety, and quality requirements</li><li>Ensure skill development as per skill matrix and training plans</li><li>Promote team discipline, accountability, and teamwork</li></ul><p>People Management: YES ¨&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; NO ¨</p><br><p>If People Management, how many employees are managed? &nbsp;No</p><br><p>Number of people&nbsp;: Nil</p><br><p>Budget Management:&nbsp; YES ¨&nbsp; NO ¨</p><br><p>NO</p><br><p><strong>Required Candidate Profile</strong></p><br><p><strong>Education/Training</strong></p><br><ul><li><em>Bachelor’s Degree in Mechanical / Electrical Engineering</em></li></ul><p><strong>Professional</strong><strong> Experience</strong></p><br><ul><li><strong>5–7 years of experience</strong> in production / assembly operations</li><li>Hands-on experience in manufacturing environment and shop-floor supervision</li></ul><p><strong>Key Competences (Transversal/Professional)</strong></p><br><p><strong>Competence</strong></p><br><p><strong>Level</strong></p><br><p>Production Management &amp; Operational Execution <strong>4</strong></p><br><p>Safety &amp; Compliance <strong>4</strong></p><br><p>Quality Management <strong>3</strong></p><br><p>Lean &amp; Continuous Improvement <strong>3</strong></p><br><p>People / Stakeholder Management <strong>3</strong></p><br><p>Presentation &amp; Communication Skills <strong>3</strong></p><br><p><strong>Languages</strong></p><br><ul><li>English</li><li>Hindi</li></ul><p><strong>Other Specifications</strong></p><br><p><strong>Behavioural and Skills</strong></p><br><ul><li>Demonstrates strong ownership and accountability in managing production activities</li><li>Shows practical decision-making ability in handling shop-floor challenges</li><li>Maintains discipline and ensures adherence to processes and standards</li><li>Exhibits people management skills with the ability to guide and support teams</li><li>Proactive mindset with a focus on problem-solving and continuous improvement</li></ul><br>Additional Information<br><br><p><strong>What could you accomplish in a place that puts People First?</strong></p><br><p>At Wabtec, it’s not just about a job - it’s about the impact you make. When our people come together, we’re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.</p><br><p>If you’re ready to revolutionize how the world moves for future generations, Wabtec is the place for you.<br>&nbsp;</p><br><p><strong>Who are we?</strong></p><br><p>Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it’s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together – are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.</p><br><p>Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We’re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com.</p><br><p><strong>Culture powers us and the possibilities.</strong></p><br><p>We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We’re building a culture where leadership, inclusion and your unique perspective fuel progress.</p><br><p><br>We’re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.</p><br><p>Need accommodation? Just let us know - we’ve got you.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Job Description<br><br><ul><li><strong>Key missions of the position: </strong></li><li>Ensure effective and systematic production planning, scheduling, and execution to meet customer delivery commitments</li><li>Optimize capacity utilization and streamline level loading across manufacturing workstations</li><li>Ensure material availability and proactively mitigate shortages impacting production schedules</li><li>Drive production efficiency through inventory control and lean methodologies</li><li>Ensure adherence to Master Production Schedule (MPS) and improve overall operational reliability</li></ul><p><strong>Measurement</strong></p><br><p><strong>Q:</strong> Production adherence and quality compliance<br><strong>C:</strong> Inventory optimization and cost efficiency<br><strong>D:</strong> On-time production scheduling and delivery performance</p><br><ul><li>MPS (Master Production Schedule) Adherence</li><li>Customer OTIF (On Time In Full)</li><li>Plan vs Actual production performance</li><li>Inventory turnover and accuracy</li><li><strong>Main responsibilities:</strong></li></ul><p><strong>Production Planning &amp; Scheduling</strong></p><br><ul><li>Schedule production for different workstations by taking into account demand forecasts, operational priorities, and available resources to ensure smooth and uninterrupted manufacturing flow</li><li>Perform level loading of manufacturing activities in a structured manner to maintain a balanced workflow across all work centres and avoid overburdening or underutilization</li><li>Plan and allocate work shifts efficiently by evaluating production requirements, workforce availability, and shift-wise capacity constraints</li><li>Align production schedules with the Master Production Schedule (MPS) to ensure consistency between planning and execution</li></ul><p><strong>Capacity &amp; Resource Management</strong></p><br><ul><li>Monitor and manage plant capacity utilization by continuously assessing machine loading, manpower allocation, and production efficiency levels across departments</li><li>Optimize resource allocation across machines and manpower in order to achieve maximum productivity while maintaining operational stability and quality</li></ul><p><strong>Material Planning &amp; Availability </strong></p><br><ul><li>Ensure material availability for uninterrupted production by closely monitoring inventory levels and coordinating with Fulfilment team &nbsp;</li><li>Track and resolve material shortages in a proactive manner by collaborating with procurement, warehouse, and planning teams to avoid production delays</li><li>Maintain end-to-end visibility of inventory levels and consumption patterns to support effective and informed production planning decisions</li></ul><p><strong>Order Management</strong></p><br><ul><li>Release manufacturing orders through ERP systems in alignment with approved production plans and scheduling timelines</li><li>Re-schedule manufacturing orders dynamically based on changing priorities, urgent requirements, or unforeseen disruptions in operations</li><li>Monitor order execution progress regularly to ensure timely completion and strict adherence to delivery commitments</li></ul><p><strong>Production Control</strong></p><br><ul><li>Monitor Plan vs Actual production performance on a continuous basis and conduct detailed analysis of variances to identify gaps and improvement areas</li><li>Implement corrective measures and follow-up actions to ensure alignment with defined production targets and schedules</li><li>Ensure strict adherence to planned schedules by coordinating with shop floor teams and resolving execution-related challenges</li></ul><p><strong>Inventory Management</strong></p><br><ul><li>Manage raw material (RM), work-in-progress (WIP), and finished goods inventory with a focus on maintaining operational continuity</li><li>Ensure optimum stock levels are maintained by balancing production requirements with inventory holding costs and storage limitations</li><li>Work towards reducing excess and obsolete inventory through effective planning, monitoring, and control mechanisms</li></ul><p><strong>Process Improvement</strong></p><br><ul><li>Apply lean methodology principles to improve operational efficiency by identifying waste and streamlining production processes</li><li>Identify opportunities for process enhancement by analysing existing workflows and recommending practical improvements</li><li>Support continuous improvement initiatives aimed at enhancing productivity, reducing inefficiencies, and improving overall process effectiveness</li></ul><p><strong>Systems &amp; Tools</strong></p><br><ul><li>Work on ERP systems for production planning, scheduling, and execution tracking to ensure data-driven decision-making</li><li>Utilize MS Excel for preparing reports, performing data analysis, and supporting operational reviews</li><li>Ensure accuracy and reliability of data within planning systems to enable effective monitoring and reporting</li></ul><p>People Management: YES ¨&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; NO ¨</p><br><p>If People Management, how many employees are managed? &nbsp;No</p><br><p>Number of people&nbsp;: Nil</p><br><p>Budget Management:&nbsp; YES ¨&nbsp; NO ¨</p><br><p>NO</p><br><p><strong>Required Candidate Profile</strong></p><br><p><strong>Education/Training</strong></p><br><ul><li><em>Diploma / B. Tech</em></li><li><em>Bachelor of Engineering – Mechanical (Preferred)</em></li></ul><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong>Professional Experience</strong></p><br><ul><li>4–6 years of relevant experience in PPC</li></ul><p><strong>Key Competences (Transversal/Professional)</strong></p><br><p><strong>Competence</strong></p><br><p><strong>Level</strong></p><br><p>Production Planning &amp; Scheduling<strong> 3</strong></p><br><p>Supply Chain &amp; Operations Management <strong>3</strong></p><br><p>Digital &amp; Systems Capability <strong>3</strong></p><br><p>Problem Solving &amp; Continuous Improvement <strong>3</strong></p><br><p>People / Stakeholder Management <strong>2</strong></p><br><p>Strategic Thinking <strong>2</strong></p><br><p><strong>Languages</strong></p><br><ul><li>English</li><li>Hindi</li></ul><p><strong>Other Specifications</strong></p><br><p><strong>Behavioural and Skills</strong></p><br><ul><li>Demonstrates strong analytical and problem-solving skills with the ability to interpret complex production data and derive actionable insights</li><li>Possesses effective communication and coordination skills to collaborate efficiently with cross-functional teams across production, procurement, and supply chain functions</li><li>Ability to work under tight deadlines and manage multiple priorities simultaneously while maintaining accuracy and consistency in output</li><li>Shows high attention to detail and a structured approach towards planning, execution, and monitoring of production activities</li><li>Exhibits a result-driven mindset with a proactive approach towards identifying issues and implementing timely corrective actions</li></ul><br>Additional Information<br><br><p><strong>What could you accomplish in a place that puts People First?</strong></p><br><p>At Wabtec, it’s not just about a job - it’s about the impact you make. When our people come together, we’re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.</p><br><p>If you’re ready to revolutionize how the world moves for future generations, Wabtec is the place for you.<br>&nbsp;</p><br><p><strong>Who are we?</strong></p><br><p>Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it’s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together – are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.</p><br><p>Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We’re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com.</p><br><p><strong>Culture powers us and the possibilities.</strong></p><br><p>We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We’re building a culture where leadership, inclusion and your unique perspective fuel progress.</p><br><p><br>We’re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.</p><br><p>Need accommodation? Just let us know - we’ve got you.</p><br> </div>