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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: 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.

Проектирование и разработка frontend- и backend-архитектуры платформы. Обязательные требования:

Location: Remote - AMER Workplace: Remote ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. ABOUT THE TEAM We're a passionate team that loves challenges and wants to make people’s lives better. We value openness, curiosity, and continuous improvement. We believe that empowering everyone in a company to do what they think is best can lead to great things. ROLE OVERVIEW As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving. KEY RESPONSIBILITIES TECHNICAL SALES & SOLUTION DESIGN - Lead technical discovery and solution design for prospective customers - Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) - Develop and support tailored Proof Schedules (deeply tailored, data-backed custom demo, similar to a “proof of value”) - Deliver technical presentations to both business and technical stakeholders - Serve as primary technical advisor during evaluation cycles - Troubleshoot and triage APIs, SDKs, and integration patterns - Willingness to tinker and build demo prototypes and tooling - Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity - Support RFP and RFI responses CROSS-FUNCTIONAL COLLABORATION - Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy - Contribute insights to the roadmap and the go-to-market strategy - Support enablement and training for sales teams - Help refine documentation, processes, and best practices within the SE function MARKET & INDUSTRY ENGAGEMENT - Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape - Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements - Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams) REQUIRED QUALIFICATIONS & SKILLS - 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles - Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools - Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling - Experience designing and running custom demos or pilots with clear, business-aligned success criteria - Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale - Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers - Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike - Ability to effectively articulate complex ideas to both technical and non-technical audiences - Ability to empathize with prospects’ challenges and goals - Skilled listener with innate curiosity - Passionate about innovative technology, technical sales, and articulating value to prospects - Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives PREFERRED QUALIFICATIONS - Experience in enterprise ecommerce or retail technology environments - Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends - Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic - Working knowledge of search and discovery concepts - Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires - Ability to build business value models that connect search improvements to revenue, conversion, or average order value - Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs WHAT SUCCESS LOOKS LIKE - Prospects clearly understand technical integration paths - Proof Schedules(deeply tailored, data-backed custom demo, similar to a “proof of value”) align tightly with business outcomes - Technical objections are addressed proactively and effectively - Sales cycles are accelerated through a strong technical partnership - Product and Engineering receive actionable, structured market feedback - Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent WORKING STYLE - Comfortable operating in a remote, distributed, and highly cross-functional environment - Able to manage multiple sales engagements and priorities simultaneously - A builder mindset that is proactive in creating structure in ambiguous environments - Highly collaborative with a strong sense of ownership and autonomy - Commercially aware and aligned with revenue and sales growth goals - Resourceful self-starter who can operate autonomously You’ll Thrive Here If… You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

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: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness. Some examples of our projects: Building a clear, reliable subscription view across the Customers Portal and related surfaces Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences What you'll do Design and build fullstack features across the post-purchase subscription journey. Contribute to the technical design and implementation of new subscription lifecycle capabilities. Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions. Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems. Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring. Participate in code reviews and provide thoughtful, constructive feedback. Identify and reduce technical debt and architectural risk in the subscription lifecycle. Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience as a fullstack engineer and confidence working across frontend and backend code. Our purchase applications use Ruby on Rails (Must have) and Vue.js. (preferred) or React. Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions. Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context. Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement. A focus on safe, incremental delivery given the revenue and customer impact of this work. The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions. Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment. Alignment with GitLab's values and a commitment to working in accordance with them. About the team The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the Monetization sub-department handbook . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being All remote, asynchronous work environment Flexible Paid Time Off Team Member Resource Groups Equity Compensation and Employee Stock Purchase Plan Growth and development budget Parental leave Home office support The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel Connect helps developers give agents and AI-built apps secure access to the data, tools, and events they need—without wrestling with OAuth, credentials, and integration complexity. We’re currently building two things: 1) a platform for managing agent identity, access and permissions and 2) a set of rich connectors for the 1000s of systems (like Linear, Slack, GitHub, Google, etc.) that agents will need to talk to. We’re solving core problems like agent identity and delegated access, tool approval and standards around making agents aware of changes on 3rd party platforms. As a senior engineer on this team you'll not only own our APIs, token infrastructure, authorization, SDKs, and more, but work with external companies to make it easier for developers to build agents that integrate with their products. You’ll need to balance both high uptime and fast performance with flexibility to allow for seamless connection to many systems that weren’t designed with agents in mind. If you’re looking for a role that will put you at the center of how agent identity and credentials work, this is it! This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What You Will Do: Ship provider integrations end to end — auth flows, token exchange, app registration, and the configuration UI — from generic API-key and OAuth presets through bespoke cases like Snowflake Partner Connect, Slack manager apps, and Microsoft Entra. Own and improve our infrastructure (uptime, performance, secure storage of credentials and keys) and developer experience for Connect Work with industry leaders within and outside of Vercel to propose and implement new authentication and authorization protocols for AI era Build and harden event forwarding — signature verification inbound, project-scoped identity outbound, delivered to the right deployment and environment. Make Connect the obvious way to give an agent a credential, extending the SDKs , consent-redirect flow, and framework adapters. Reduce the cost of the next hundred integrations, so most new providers become configuration rather than code. About You: 6+ years building and operating production backend or full-stack systems, with a track record of owning a service or platform surface rather than a feature. You deeply understand your users problems and work in a focused manner to address them, leveling up the product you’re working on over time. Deep, practical understanding of OAuth 2.0/2.1, OIDC, and JWTs — not just wiring up a client library, but reasoning about authorization codes, PKCE, refresh semantics, audience and scope restriction, token exchange, and what each of those actually protects against. A security instinct for integration code specifically — SSRF and DNS rebinding, confused-deputy and mix-up attacks, redirect-URI validation, webhook signature verification, tenant isolation. You've either found these bugs or fixed them. Strong TypeScript, and comfort developing backend and frontend components. Experience integrating with many third-party APIs, an appetite for the reality of it — undocumented behavior, non-compliant OAuth, inconsistent errors — and the judgment to absorb that mess behind a clean abstractions Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Ищем Senior QA Engineer с коммерческим опытом разработки автотестов на C# на крупный банковский проект в направлении корпоративного кредитования. ➖ Разработка, поддержка и развитие автотестов на C#;

Задачи: — Оптимизация веб-приложений и веб-сайтов — Доработка функциональности на .Net Core, ASP.Net, Angular — Работа над улучшением дизайна, функциональности — Внедрение новых сервисов, технологий приложений — Работа над архитектурными решениями — Проектирование и разработка API — Оптимизация сервисов с учётом требований к нагрузке — Интеграция с другими приложениями Заказчика — Написание технической документации — Участие в полном процессе разработки веб-приложений — Взаимодействие с другими командами для совместной интеграции компонентов Требования: — Высшее или средне специальное образование в области ИТ — Знание одной технологии из .Net Core, ASP.Net — Знание фреймворка AngularJs и его экосистемы — Знание HTML5/CSS3 — Знание архитектуры DOM-браузера — Знание реляционных баз данных и языка SQL, опыт написания сложных SQL запросов (знание баз NoSQL будет плюсом) — Понимание принципов работы RESTful HTTP API и Web APIs — Знание ORM .Net, EF Core, Dapper — Опыт работы с Git, LINQ — Понимание принципов ООП, MVC — Понимание работы и взаимодействия backend и frontend процессов Условия: — Постоянная работа в современном офисе — Премии к праздникам и по KPI — Обмен опытом с коллегами — Корпоративные и социальные мероприятия — 30 дней отпуска в год — Повышение квалификации за счет работодателя — Оформление согласно Трудового кодекса РК — Работа в офисе Пн-Пт 8:00-17:30, обед 12:00-13:30 — Дополнительная мед.страховка

Компания: Danelex Формат: remote Уровень ЗП: Конкурентная, в рублях (обсуждается) Занятость: full-time 🖥 Формат Удалённая, RU/BY 🕹 Работодатель Danelex — — 🕹 Список обязанностей: — Разрабатывать и поддерживать backend-сервисы и REST API на C#/.NET. — Развивать frontend-приложения на современных JavaScript/TypeScript-фреймворках (React/Angular).

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.

- Доработка бэкенд-логики на Java (если требуется), настройка RBAC/ABAC через API и Policies, кастомизация UI (темы, компоненты, страницы), добавление кастомных полей в формы.

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.

• Управление инженерной организацией: руководство Backend, Frontend, DevOps и QA, развитие технических лидов, повышение эффективности команд. • Опыт управления инженерной организацией размером примерно 20–50 человек и несколькими техническими лидами.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. You will specifically join VGP Team. VGP automates repetitive and high-volume growth tasks, starting with the distribution of over 25,000 creatives across multiple ad networks and campaigns per year, and continuously improves decision-making, performance monitoring, and playable ads production. The platform is evolving to integrate AI-driven campaign launches, bidding automation, and expanded network coverage. ROLE We’re looking for an Engineering Lead (TypeScript/Node.js) to join our Engineering & Data team. As an Engineering Lead, you'll combine strong individual technical contributions with team leadership. You'll be responsible for the technical direction of your squad, the growth of your engineers, and the delivery of high-impact projects. This is a hybrid IC/manager role — you'll still write code, but your leverage is through the team. - Lead the technical direction and architecture for your squad's domain - Drive design reviews, set coding standards, and ensure engineering excellence - Own the full delivery of complex, cross-team technical initiatives - Build, scale and operate Node.js/TypeScript backend services on AWS/EKS - Define the infrastructure and reliability strategy for your team's systems - Partner with Product and Data to translate business goals into technical roadmaps - Grow engineers through 1:1s, code reviews, mentorship and technical coaching - Identify systemic risks and drive improvements before they become incidents - Be an ambassador for engineering culture: psychological safety, pragmatism, and craft PROFILE (MUST HAVE) - 7+ years of professional software engineering experience - 2+ years of experience leading an engineering team (formal or informal) - Expert-level proficiency in TypeScript /Node.js - Good knowledge of industry best practices (SOLID, KISS, YAGNI, DDD, TDD...) - Proven ability to own and deliver large technical projects with cross-team dependencies - Excellent communication and stakeholder management skills - Track record of growing engineers and building high-performing teams - Ability to balance speed-of-delivery with long-term technical health PROFILE (NICE TO HAVE) - Advanced PostgreSQL — schema design at scale, performance tuning, migrations - Experience with VueJS or frontend architecture decisions - Experience with AWS infrastructure (EKS, Lambda, RDS/Aurora, SQS/SNS, CloudFront, ALB) - Infrastructure-as-code (Terraform, CDK, Helm) at scale - Observability and SRE practices: SLOs, error budgets, on-call management - Experience operating in a hyper-growth or gaming/consumer product company - Platform engineering or developer experience background OUR STACK - TypeScript ; Node.js ; AWS ; Terraform ; CDK ; Helm BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Задачи Анализировать входящие запросы на новые фичи, валидировать их и переводить в конкретные технические требования с учётом продуктовых и бизнес-целей. Взаимодействовать с другими командами разработки, чтобы обеспечить интеграцию решений и стабильную доставку функционала.

Открыта позиция веб-аналитика для настройки сквозной веб- и мобильной аналитики и работы с воронкой продаж на сайте и в приложении. - Настройка веб- и мобильной аналитики (Google Analytics 4, Amplitude, Firebase);