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Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it. As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows. - Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run. - Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand. - Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it. - Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on. - Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs. - Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics. - Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work. WHAT WE'RE LOOKING FOR - 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company. - Experience setting technical direction and raising the bar for a team. - Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end. - Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs. - Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems. - Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them. - Excellent technical writing. You know what world-class developer content looks like. - A track record of owning projects end to end with little direction. - Strong intuition for developer tools and a love of well-crafted user experiences. NICE-TO-HAVES - You've used Render before, professionally or on side projects. - Experience with AEO or SEO, or with measuring how content performs in LLM answers. - A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog. - Experience presenting workshops and technical talks. SOME PROJECTS YOU MIGHT WORK ON - A video series on building and deploying an MCP server on Render. - A sample app for an upcoming launch, built with Product and Engineering ahead of release. - An agent skill that turns a tutorial into a tested, deployable template. - Tracing why coding agents fail on a specific docs page, then shipping the fix. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About the role Our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources across Marketing, Developer Relations, Growth Programs, and Sales. Within Developer GTM, the Revenue Engineering team exists to build and evolve GTM infrastructure to support Cloudflare’s transition into a major cloud provider and drive Cloudflare’s AI transformation. We operate across data platform development, application platforms, core pipeline evolution, and novel internal product delivery enabling teams across the organization to move fast without accumulating unmaintainable technical debt. What You'll Do As a hands-on "player-coach" Engineering Manager on the Revenue Engineering team, you will balance technical leadership with direct execution, actively writing code, building pipelines, prototyping novel GTM applications, and debugging alongside your team. You will lead, coach, and grow a team of high-performing software and data engineers building mission-critical GTM software, data platforms, and internal developer tools on top of Cloudflare's own developer platform (Workers, Kubernetes, Go, TypeScript, SQL, and MCP). You will take ownership of our core platform strategy, balancing fast-paced feature delivery with platform maintainability, data integrity, and operational excellence. In this role, you will: Lead and Grow Engineering Talent (Player-Coach Model): Recruit, mentor, and develop a diverse team of talented software and data engineers while leading by example through active code contributions, hands-on technical guidance, and unblocking engineers directly in the codebase. Architect & Build Platform Primitives: Set the technical vision and actively write code for our GTM Data Platform, App Platform, and Model Context Protocol (MCP) integrations in Go and TypeScript, enabling internal teams to build and scale maintainable solutions. Prototype & Deliver High-Impact Applications: Directly build and prototype novel GTM applications (Signals, Customer Health, Cost Explorer), evolve core pipelines (Salesforce enrichment, customer contact ingestion, real-time consumption billing visibility), and implement data infrastructure migrations. Empower & Advise Business Builders: Act as a technical advisor and partner to non-technical teams, teaching them to self-serve using supported platform primitives rather than creating isolated, unmaintainable silos. Drive Operational & Engineering Excellence: Establish best practices for service observability, testing, schema evolution, and deployment while mitigating bus-factor risks and single points of failure across legacy and new systems. Cross-Functional Collaboration: Partner closely with leaders across Sales, Marketing, Developer Relations, BI, Security, and Product to align on business priorities, unblock dependencies, and turn complex business challenges into reliable software solutions. Examples of Desirable Skills, Knowledge, and Experience Hands-on Experience: Minimum 8 years of relevant software engineering experience, including at least 3 years in a formal engineering management or technical leadership role with a strong track record of remaining hands-on in the code. Technical Depth & Contribution: Strong background writing production code and debugging distributed systems, data pipelines, and web APIs across Go, TypeScript, Workers, Kubernetes, SQL, and MCP. Leadership & Team Building: Proven track record of recruiting, coaching, and developing senior technical talent while fostering an inclusive, high-trust engineering culture. Platform & Systems Ownership: Experience owning end-to-end service lifecycles, operational monitoring, incident management, and architectural strategy for complex internal or external platforms. Pragmatic Business Execution: Ability to navigate ambiguous problem spaces, balance rapid prototyping ("learning mode") with scalable platform architecture ("scale mode"), and translate business needs into robust technical roadmaps. Cross-Functional Communication: Exceptional collaboration skills with a track record of partnering effectively with non-technical business partners, GTM stakeholders, and executive leadership. Bonus Points Cloudflare Developer Platform: Experience building on or integrating with Cloudflare Workers, edge computing platforms, or serverless architectures. GTM & Growth Systems: Background in SaaS, Product-Led Growth (PLG) motions, sales analytics, or working with CRM/marketing automation integrations (Salesforce, Marketo). Applied AI & MCP: Hands-on experience developing Model Context Protocol (MCP) servers, LLM/AI integrations, or AI-driven developer workflow automation. Data Platform Scale: Experience with modern columnar databases / lakehouses (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg) or analytics engineering workflows. Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Senior Full Stack Engineer to build how developers and AI agents access our agentic web infrastructure. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf. The team owns the main API gateway, the customer platform (keys, usage, teams), identity and enterprise SSO , and the public interfaces to our product: the SDKs, CLI, MCP servers and other tools developers and agents use. You'll work closely with product, design and engineers across our R&D. In this position, your responsibility will be to: Design and ship features end to end, from the interface to the services and data behind it Build and improve the API gateway: high traffic, low latency, reliable Turn usage, billing and team data into fast, usable interfaces: tables, charts, filters and forms Shape the self-serve journey from signup through activation Build and operate identity and team access in production: OAuth and OIDC , role-based access, SAML SSO and SCIM , on providers such as Auth0, Okta, WorkOS or Clerk Control who gets which features, with feature flags for staged rollouts and entitlements after rollout Improve the public interfaces developers and agents use: the SDKs, CLI, MCP servers and docs You may be a good fit if you: Have 5+ years of full-stack engineering on customer-facing products or high-throughput APIs, in any mix of frontend and backend Are strong in backend engineering, ideally in Python. Go, C++ or C with some Python experience also fits Have built and operated latency-sensitive, high- QPS APIs: caching, async work, queues, retries and rate limiting, including long-running jobs and webhooks Have shipped production UI with a modern frontend framework such as React, Next.js or TanStack, ideally in TypeScript Have built data-heavy interfaces such as tables, charts and filters that stay fast Are effective in a mature, user-facing system: you have joined a complex codebase, ramped up fast, shipped safely under real traffic, and been on-call for it Have strong product and design sense, for interfaces and for APIs See your work through from design to production, explain trade-offs clearly to partners, navigate ambiguity, and use AI tools in how you build Strong candidates may also: Have led a project or mentored others Have taken a product from 0 to launch Have built API-key issuance and lifecycle Have built MCP servers or tools for AI agents Have worked on billing or usage metering with Stripe, Metronome, Orb or similar Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Platform Services team builds self-service platform products that simplify how development teams interact with infrastructure. Its goal is to let teams focus on delivering business value rather than on platform integrations and infrastructure complexity. Examples include: Access Management – Work towards a single source of truth for who can do what at DRW. Simplify engineering's approach to Identity and Access Management (IAM) by providing a platform that can be used to manage access across DRW's proprietary and third-party systems. Limit Monitoring – Create a platform for defining and monitoring firmwide trading limits across domains like Risk, Treasury, and Compliance. Data Tables – Provide a best-of-breed service for managing lightweight datasets, with built-in support for temporal (point-in-time) data, access controls, APIs, and front end. Usage – Normalize the collection, storage, and presentation of usage data to provide insight into how services and data are being used and why. As a Senior Software Engineer, you will define, develop, and own services that form the foundation of DRW's Unified Platform. Key Responsibilities: Architect and deliver complex features end-to-end with minimal oversight. Turn high-level requirements into solutions, drawing on a deep understanding of the business. Maintain a constant focus on testing, reliability, scalability, and maintainability. Design systems, model data, and write code across a variety of languages and technologies. Evolve legacy code alongside greenfield development. Learn and promote new technologies with a focus on best practices. Engage in on-call and production support activities. Contribute to system and architecture design discussions. Challenge ideas and participate in defining the path forward. Required Qualifications: 7+ years of experience in server-side development using major programming languages such as Java, Ruby, Python, Clojure, or C#. Strong understanding of system and architecture design principles, especially in the context of distributed systems. Ability to own projects, define requirements, and lead their development. Excellent problem-solving skills, with the capacity to work on both software development and support tasks. Strong communication and interpersonal skills. Desirable Qualifications: Experience with Platform as a Service (PaaS) and the transformation of services into products. Experience with IAM concepts such as RBAC/ABAC, OAuth 2.0/OIDC, or SCIM. Experience with temporal data modeling and designing APIs consumed by other teams. Experience building real-time or event-driven systems. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-MM1

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Developers increasingly pick their tools through AI assistants and coding agents. When someone asks ChatGPT, Claude, or a coding agent where to deploy their app, we want Render to be the answer. That depends on content that exists, is accurate, and stays current. As Render’s Senior Content Engineer, you’ll own the strategy and the system behind that content. You’ll find the gaps in our content catalog based on how Render shows up in LLM and answer-engine results, decide which gaps matter most, and build and run the content factory that fills them. The role sits close to DX Engineering and is fully focused on content. You’ll work directly with the Head of Developer Experience, the DX team, Render’s docs owners, and external content partners. The primary audience for this content is coding agents and LLMs. You’ll ship focused, technically grounded pieces that help them answer developer questions and cite Render: use-case articles, stack-specific guides, comparisons, and docs. The field is still taking shape, so you’ll test what works and help write the playbook. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Own Render’s content gap analysis. Use AEO benchmarks, citation tracking, and AI agent traffic data to find where Render is missing, wrong, or out-cited in LLM answers, and turn noisy signals into clear priorities. - Turn that analysis into a prioritized backlog across articles, guides, and docs, with clear reasoning for what ships first. - Build and improve Render’s content factory: the AI-assisted pipelines, built on Render Workflows, that research, draft, fact-check, and assist us in publishing technical content. Test changes with evals and keep the system reliable as output grows. - Own the review loop. Make expert review faster and cheaper, track factual accuracy, and keep the quality bar high at higher volume. - Run the refresh cycle for existing content so pages stay accurate as the product changes. - Manage day-to-day work with external content partners: briefs, feedback, quality, and output. - Partner with docs owners to expand docs coverage where it drives citations. - Define and report the metrics that show whether content moves Render’s visibility and signups. Volume published is one input among several. WHAT SUCCESS LOOKS LIKE - The content factory is reliable, well maintained, and keeps up as our content needs grow. - Render shows up more often in agent and LLM answers for the topics the content plan targets. - Content stays technically accurate, and expert review takes less time per piece as output grows. - The content plan responds to gaps in our catalog and to what we learn about Render’s visibility in agent and LLM answers. - We have a plan and a workflow to keep the catalog up to date as the product changes. WHAT WE'RE LOOKING FOR - 5+ years in technical content, developer education, content engineering, or software engineering with a strong content focus, ideally at a developer tools or infrastructure company. - A working understanding of AEO or generative engine optimization (GEO) and how answer engines choose sources. The field is new, so we care about what you’ve built and measured, and how fast you learn. - Strong working knowledge of AI agents. You use coding agents like Claude Code, Codex, or Cursor every day, and you know agent workloads (long-running tasks, tool calls, sandboxed code execution) well enough to judge whether content about them is correct. - A builder’s approach to AI. You’ve built content systems in code (scripts, pipelines, LLM and agent workflows) and use evals to understand what a change affects. Comfortable with Python or TypeScript, Git, and APIs. - Strong technical judgment. You can read a docs page or code sample and tell whether it’s correct. - Sharp editorial taste. You catch weak structure, generic AI-generated prose, and factual errors fast. - Comfort owning a system end to end and holding external partners to a quality bar. NICE-TO-HAVES - Experience running SEO or programmatic content at scale, especially for developer audiences. - Experience with LLM benchmarking or answer-engine measurement. - Experience building agents or MCP servers. - Familiarity with cloud hosting, deployment, or infrastructure products. - You’ve used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - Sizing the long tail of developer questions where Render should be cited and isn’t, then building the plan to cover it. - Adding an automated fact-check stage to the content pipeline that verifies claims against live Render docs. - Building a refresh system that flags stale content when the product changes. - Running a recurring survey of LLM answers to measure where Render appears and who gets cited instead. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Australia Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.   This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.   You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. _______________________________________________________________________   RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. _______________________________________________________________________   QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.   Visa sponsorship: Not available for this role. ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do Talk directly with developers, AI companies, publishers, and customers every day. Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. Passion for design details and polish. You raise the bar for sweating the details. External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

строить и поддерживать сквозную аналитику; проверять работу ивентов и backend-событий;

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary: The AI Engineering team builds and operates AI Platform — the common foundation every engineering team uses to ship AI capabilities. The team delivers the shared infrastructure, reference patterns, and guardrails that let software engineers across the company build AI agents, MCP servers, and GenAI solutions without reinventing the foundations: model access, orchestration, evaluation, observability, and responsible AI controls. Working in close partnership with product and engineering teams, it turns proven patterns into platform capabilities that compound across the product portfolio. Job Summary: The Senior AI Architect is the senior technical leader for PointClickCare’s AI Platform, owning the architecture that enables software engineers across the company to build AI agents, MCP servers, and AI solutions on a common foundation. This role is an enabler, not a product owner: its output is a platform other teams build on, and the patterns, standards, and guardrails that make those teams faster. The Senior AI Architect works closely with product counterparts to review product roadmaps and translate them into architectural designs and decision documents and guides the AI Engineering team in building a robust, scalable agentic platform for the future of PointClickCare. Key responsibilities: Design and evolve the architecture of PointClickCare’s AI Platform — the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services that engineering teams build on ensuring it scales with adoption across the product portfolio. Guide the AI Engineering team through architectural decisions, design reviews, and hands-on technical mentorship, raising the bar for how the platform is designed, built, and operated. Partner with product counterparts to review product roadmaps, translate upcoming AI capabilities into architectural requirements, and author architecture documents and decision records that de-risk delivery Enable software engineers across PointClickCare to build AI agents, MCP servers, and solutions on the platform by codifying reference architectures, reusable patterns, and paved-road templates — and by providing direct architectural guidance to consuming teams. Establish platform standards for security, responsible AI, evaluation, and observability, and run architectural review processes that keep solutions built on the platform consistent, compliant, and production-ready. Minimum qualifications and Skills: 12+ years of software engineering and platform architecture experience with deep cloud expertise (Azure preferred), including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale Hands-on expertise with agentic systems — agent frameworks, multi-agent orchestration, MCP (Model Context Protocol), tool use, RAG, vector databases, and production LLMOps Proven track record designing internal platforms that other engineering teams build on, including developer experience, APIs and SDKs, and self-serve patterns Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture Demonstrated ability to produce high-quality architecture documents and decision records, and to communicate design trade-offs clearly to engineering and product audiences Preferred qualifications and skills: Experience with the Azure AI stack (Azure OpenAI, AKS, APIM) and the Databricks lakehouse (Unity Catalog, model serving) Background in healthcare technology platforms or clinical workflows Experience guiding engineering teams as a senior architect or technical lead within a platform organization Expertise in advanced agentic patterns including multi-agent orchestration, tool and MCP server design, agent evaluation, and model fine-tuning pipelines Deep knowledge of AI governance, responsible AI practices, and model risk management in regulated environments   #LI-Av1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $183,000-$229,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary: The AI Engineering team builds and operates AI Platform — the common foundation every engineering team uses to ship AI capabilities. The team delivers the shared infrastructure, reference patterns, and guardrails that let software engineers across the company build AI agents, MCP servers, and GenAI solutions without reinventing the foundations: model access, orchestration, evaluation, observability, and responsible AI controls. Working in close partnership with product and engineering teams, it turns proven patterns into platform capabilities that compound across the product portfolio. Job Summary: The Senior AI Architect is the senior technical leader for PointClickCare’s AI Platform, owning the architecture that enables software engineers across the company to build AI agents, MCP servers, and AI solutions on a common foundation. This role is an enabler, not a product owner: its output is a platform other teams build on, and the patterns, standards, and guardrails that make those teams faster. The Senior AI Architect works closely with product counterparts to review product roadmaps and translate them into architectural designs and decision documents and guides the AI Engineering team in building a robust, scalable agentic platform for the future of PointClickCare. Key responsibilities: Design and evolve the architecture of PointClickCare’s AI Platform — the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services that engineering teams build on ensuring it scales with adoption across the product portfolio. Guide the AI Engineering team through architectural decisions, design reviews, and hands-on technical mentorship, raising the bar for how the platform is designed, built, and operated. Partner with product counterparts to review product roadmaps, translate upcoming AI capabilities into architectural requirements, and author architecture documents and decision records that de-risk delivery Enable software engineers across PointClickCare to build AI agents, MCP servers, and solutions on the platform by codifying reference architectures, reusable patterns, and paved-road templates — and by providing direct architectural guidance to consuming teams. Establish platform standards for security, responsible AI, evaluation, and observability, and run architectural review processes that keep solutions built on the platform consistent, compliant, and production-ready. Minimum qualifications and Skills: 12+ years of software engineering and platform architecture experience with deep cloud expertise (Azure preferred), including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale Hands-on expertise with agentic systems — agent frameworks, multi-agent orchestration, MCP (Model Context Protocol), tool use, RAG, vector databases, and production LLMOps Proven track record designing internal platforms that other engineering teams build on, including developer experience, APIs and SDKs, and self-serve patterns Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture Demonstrated ability to produce high-quality architecture documents and decision records, and to communicate design trade-offs clearly to engineering and product audiences Preferred qualifications and skills: Experience with the Azure AI stack (Azure OpenAI, AKS, APIM) and the Databricks lakehouse (Unity Catalog, model serving) Background in healthcare technology platforms or clinical workflows Experience guiding engineering teams as a senior architect or technical lead within a platform organization Expertise in advanced agentic patterns including multi-agent orchestration, tool and MCP server design, agent evaluation, and model fine-tuning pipelines Deep knowledge of AI governance, responsible AI practices, and model risk management in regulated environments   #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $161,000-$201,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Middle Full-Stack разработчик IT Вакансии Мы ищем Middle Full-Stack разработчика, который будет проектировать, разрабатывать и поддерживать современные облачные веб-приложения. Вы будете работать по всему стеку - от backend-сервисов на .NET и облачной инфраструктуры до отзывчивых frontend-интерфейсов.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role JDC Warehouse Specialist Position Overview The Warehouse Specialist runs day-to-day warehouse operations at a Nebius data center site. The role receives, stores and issues high-value hardware (GPU racks, servers, network equipment, spare parts), keeps stock and asset records accurate, and provides equipment to data center engineers on time. The specialist is the site's hands-on link to the wider logistics function: Transportation and Transport Coordination for arrivals and pickups, Logistics Planning and 3PL Planning for schedules, Back Office for system records, and the Project Office for new processes and tools. Key Responsibilities 1. Receiving & Dispatch •    Receive inbound shipments per the delivery schedule; check seals, packaging and contents against ASN, packing list and PO. •    Record damage and discrepancies with photos on arrival and hand them to Transport Coordination for insurance cases. •    Prepare outbound shipments and RMA returns: picking, packing, labelling, documents; hand over to carriers at the agreed pickup time. •    Follow handling standards for heavy, fragile and high-value equipment. 2. Provisioning to Data Center Operations •    Issue equipment and spare parts to DC engineers on time, according to requests and project priorities. •    Stage and kit hardware for rack deployments as agreed with ITDC and Project Managers. •    Keep a clear view of what is available on site and flag shortages to the Team Lead and Logistics Planning. 3. Inventory & Asset Control •    Post receipts, issues and transfers in ERP/WMS on the same day as the physical movement. •    Create inventory and asset records for received equipment, including serial numbers. •    Carry out cycle counts and annual stock takes; investigate and report discrepancies to Back Office. •    Keep the warehouse tidy, labelled and organized by location. 4. Security, Safety & Compliance •    Follow site security procedures for deliveries, access control and storage of high-value items. •    Apply safety rules for handling equipment and operating material handling equipment. •    Keep records complete and audit-ready (SOX, internal and external audits). 5. Process & Continuous Improvement •    Work according to global SOPs and site-specific instructions. •    Suggest improvements and report recurring issues to the Team Lead and the Project Office. •    Take part in pilots and rollouts of new processes and tools (WMS/TMS, automations) at the site. 6. Local Expertise •    Provide site-specific knowledge (access rules, dock limits, local carriers and customs specifics) to Transport, Planning and 3PL teams. •    Identify local operational risks and propose practical mitigation. 7. Add-on Roles (when assigned) •    + RMA: own RMA flows at the site — intake, documentation, return shipment, status tracking. •    + Key User (IRG / NetSuite / Project44): first-line support and training for colleagues on the system, test changes, collect feedback for the Project Office. Expectations Autonomy: Independently runs daily warehouse tasks at the site within SOPs; escalates discrepancies, damage and security issues to the Team Lead. Impact: Keeps DC engineers supplied with the right hardware on time and keeps site stock accurate. Communication: Clear, timely updates to the Team Lead, DC engineers and logistics teams. Travel: Occasional support to other sites during launches or peaks. Work Mode: On site; remote work not expected. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a disciplined, highly autonomous Middle Next.js Developer to build and ship product features for one of our core D2C subscription products. You will own features end to end across a TypeScript monorepo — a Next.js App Router client, a Fastify + Payload CMS API on PostgreSQL, and Cloudflare Workers at the edge — from the moment you receive a task, through breaking it down, estimating, implementing, testing, and observability, to a clean release to production and confirmation that it works for real users. This is a hands-on engineering role suited for someone who treats production as the standard, not the finish line. Half-tested code, silent failures, and unverified AI-generated output are not acceptable. The codebase is convention-heavy — a layered Feature-Sliced Design structure with strict import rules — and you are expected to work inside those conventions rather than around them. You are accountable for every task you take on and for every area of the product you touch: if it breaks, regresses, or stays half-finished, that is yours to see through. We expect maximum autonomy and real involvement in the product — you work independently within a sprint, communicate risks before they become blockers, and escalate architectural decisions to senior engineers rather than guessing. KEY RESPONSIBILITIES FEATURE DEVELOPMENT - Build features across the Next.js client and the Fastify + Payload CMS backend according to product requirements - Write code that follows the team's Feature-Sliced Design layering, naming, and import conventions - Ship changes behind feature flags and A/B experiments, fully localized across every supported locale - Integrate third-party providers — billing, email/CRM, analytics — over REST APIs and webhooks QUALITY & RELIABILITY - Cover functionality with unit, integration, and e2e tests at the level the team expects - Run a thorough self-review before code review, and review teammates' code with the same rigour - Fix bugs and perform root-cause analysis for recurring issues - Optimize page and endpoint performance — rendering and caching strategy, database queries, bundle size SECURITY & OBSERVABILITY - Apply secure development practices: schema validation, access control, safe handling of secrets - Follow observability practices — structured logging, metrics, and alerts — using existing tooling COLLABORATION - Break down, estimate, and ship your own tasks to production within the sprint — and stay accountable for them after release - Own the areas of the product you work in: their stability, performance, and follow-up fixes - Surface requirement clarifications, estimate changes, and risks early and in writing - Escalate complex architectural decisions and critical risks to senior engineers QUALIFICATIONS MUST-HAVE EXPERIENCE - 2+ years of commercial React experience, including 1+ year with Next.js (App Router, Server Components, route handlers, rendering and caching strategies) and solid TypeScript - Node.js backend experience on a typed HTTP framework (Fastify, Nest, or Express) with PostgreSQL — REST API design, schema migrations, integrations over REST and webhooks (signature verification, idempotency, retries) — plus a working understanding of HTTP/REST, auth mechanisms, and web security fundamentals - Hands-on with the modern client stack: TanStack Query, Zustand, React Hook Form + Zod, Tailwind CSS, and a React component library such as HeroUI, MUI, or shadcn/ui - Experience with a code-first headless CMS on PostgreSQL (Payload, Strapi, Directus, or equivalent) — collections, access control, generated types, migrations - Testing and delivery discipline: e2e tests (Cypress or Playwright) and unit/integration tests (Vitest or Jest), Git flow, code review, working with CI - Daily use of AI development tools (Claude Code or equivalents), including configuring them for a project — context, instructions, rules, MCP/integrations — with full ownership of the quality, security, and correctness of generated code - English — B1+ LEADERSHIP ATTRIBUTES - Owns the outcome — takes a task from requirement to production without waiting to be pushed, and stays accountable for the result and the area it touches - Maximally autonomous and involved — needs a goal, not step-by-step instructions, and cares how the product performs, not just whether the ticket is closed - Verifies before trusting — treats AI output, third-party responses, and your own code as unproven until tested - Structured communicator — surfaces risks, blockers, and estimate changes early, in writing, in a remote team - Knows the edge of their scope — escalates architectural and security decisions instead of improvising them - Learns from incidents — fixes the root cause, not just the symptom LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Bulgaria Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. Project Tech Stack .NET, C#, MS SQL Server (T-SQL), Angular (preferably v18+), CSS, Web Services, REST APIs, Azure, CI/CD pipelines, and DevOps workflows, Visual Studio What You’ll Do Participate in services design and design review Participate in implementing frontend services using Angular v.18, and CSS Work with database queries (T-SQL) Provide API exposure and management: create backend microservices used by front-end clients Make services cloud-ready as a part of a large product migration to the cloud (Azure) Work with security and data protection -> access/security/privacy Implement custom business logic in back-end services (.NET) Integration with other solution components and 3rd party business applications and servers What You Bring Extensive hands-on professional experience with C#/ .NET Experience with relational databases Knowledge of Angular, JavaScript Professional experience with Web Services, REST APIs Experience in service-oriented architecture and design patterns Hands-on knowledge of the Microsoft Azure platform Knowledge of CI/CD principles Demonstrated ability to give estimates for new features based on minimal requirements/specifications, to prioritize and break down work into milestones and sprints English level Upper-intermediate and higher Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Москва Workplace: Офис Мы разработали систему симуляции, которая позволяет тестировать новые версии компонент автопилота в виртуальной среде. Ищем сильного ML-разработчика. Откликайтесь, если знаете Python, имеете опыт работы с данными, занимались генеративным CV и обучали нейросети на распределённых кластерах. Больше о команде Ключевые критерии качества автономного автомобиля — безопасность, комфорт и эффективность. Оценивать их только на реальных дорогах долго, дорого, а для некоторых сценариев практически невозможно. Поэтому в Яндексе мы разработали систему симуляции, которая позволяет тестировать новые версии компонент автопилота в виртуальной среде и быстро оценивать, как меняется поведение автомобиля в разных дорожных ситуациях, погодных условиях и на разных территориях. Достоверность таких тестов определяется тем, насколько реалистично окружающая среда реагирует на действия автономного автомобиля. Для этого мы используем ML-модель, которая предсказывает движение других участников дорожного движения: машин, мотоциклов и пешеходов. Над этой моделью и предстоит работать будущему участнику нашей команды. Симулятор используют много команд, поэтому наши улучшения напрямую влияют на скорость и качество разработки автономного автомобиля Яндекса. Обязанности Улучшение качества и разработка новых функций модели Вам предстоит работать над повышением базового качества нейросети для генерации траекторий машин и пешеходов. Задачи включают улучшение датасета (сбор, фильтрацию и предобработку данных), архитектурные доработки моделей, оптимизацию процесса обучения и инференса, а также исследование возможностей внедрения inpainting, различных conditioning и guidance для решения продуктовых задач. Удачные наработки затем нужно будет внедрять в продакшен своими силами и силами бэкенд-команды. Разработка фреймворка приёмки моделей Вторым фокусом будет участие в построении надёжной и автоматизированной системы оценки качества и приёмки новых версий модели. Нужно будет реализовывать в продакшен-системе и train-цикле моделей метрики из SOTA-статей, разрабатывать собственные метрики для оценки краевых случаев и внедрять краудсорсинг в процессы приёмки для комплексной оценки моделей. Больше об ML в Яндексе — в канале Yandex for ML Требования * Программировали на Python * Работали с данными (сбор из сырых логов, формирование новых датасетов) * Занимались генеративным CV * Обучали нейросети на распределённых кластерах * Участвовали в ML-проектах полного цикла с привязкой к бизнес-потребностям Будет плюсом * Имеете практический опыт обучения диффузионных моделей * Внедряли модели в продакшен через FastAPI + Docker, Triton Inference Server или любой другой фреймворк * Участвовали в соревнованиях по ML или программированию (ACM ICPC, Codeforces, Topcoder, Kaggle и т. д.) * Умеете программировать на C++ * Знаете правила дорожного движения, водили автомобиль или мотоцикл

• Проектирование и развитие аналитического хранилища данных (DWH). • Разработка моделей данных (fact / dimension, агрегаты).