Вакансии

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 role is available for candidates located in the United States or Canada. The Opportunity: Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on Prometheus , Grafana Alloy , Mimir proxies , and OpenTelemetry. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability. Take an active role in influencing our roadmap and your own career objectives. Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers. Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope. Be a part of your team’s on-call rotations and take ownership of the services you’re running. Mentor and support other team members, participate in design discussions, and collaborate with the team. Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system. As we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs . Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively. Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must. Requirements: Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well. Some experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way. Some experience with developing software that runs in the Cloud or some experience with systems engineering. Experience writing clean, robust, and performant software that is easily maintained by others. Bonus Points For: Experience writing low level code for databases, storage layers, or query engines. Experience working with Kubernetes. Been a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects). Exposure to microservices architecture and distributed systems, or a desire to learn. Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code. Compensation & Rewards: In Australia, the Base compensation range for this role is CAD 164,500 to CAD 197,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 .

Ищем харизматичного Программиста / Аналитика 1С, который уже применил ИИ-ассистентов в своей практике и готов обучать этому других. Вести занятия: Проводить лекции, воркшопы или записывать практические видеоуроки (в зависимости от формата потока).

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 position. We are looking for candidates in the US and Canada. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has two sub-squads, Ingest and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across three major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They likely are engaged in a larger project with another engineer, as well as mixing in some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing? Take a very active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What are we looking for in you? You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a Squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Some experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem Nice to haves: Experience working with Kubernetes is highly desirable Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Exposure to microservices architecture and distributed systems, or a desire to learn Familiarity with the concept of infrastructure as code In the United States, the base compensation range for this role is USD 154,000 -  USD 185,000 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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. *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: Bengaluru, India Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a member of our Customer Operations & Support Team, you’ll be the voice of Figma as you help ensure our community has an exceptional experience across our different public platforms and touch-points (community forum, social, etc.) You’ll be engaging with our customers both directly and publicly, which will require critical thinking, an investigative mentality, and outstanding communication skills. We’re looking for a great teammate based in India who can cover weekdays and is technically inclined, eager to learn about design tools and community, and comfortable working across multiple workstreams in a startup-like environment. This role will be based out of our Bengaluru hub. What you’ll do at Figma: Monitor our community and social platforms (community forum, X, Reddit, etc.), handle escalations, and help with response and communication around incidents and support issues Provide outstanding technical support for new and experienced Figma users on community and social platforms Help moderate and organize our community forum, making sure it stays a healthy and safe space for our global community Identify trends and areas of improvement for our community forum and other community support initiatives Improve engagement and create a seamless one-to-many support experience Collaborate with our design and engineering teams to investigate and resolve complex issues, and work with our Technical Quality Support team to report and escalate technical issues to the appropriate teams Collect and consolidate customer feedback into meaningful recommendations for our product and research teams Close the feedback loop with users when bugs are resolved and feature requests are implemented We’d love to hear from you if you have: 2+ years’ experience in support or community roles for a technical SaaS product Familiarity with design processes and tools Strong technical and written communication skills, making complex ideas easy to understand Proactive, responsive, and detail-oriented, with strong prioritization skills Receptive to customer feedback, effective in public and direct responses, and adaptable to a fast-paced startup environment At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

-Проектирование, разработка и поддержка высоконагруженных микросервисов. -Участие в принятии архитектурных решений и оптимизации производительности.

Location: New York; New Jersey Workplace: hybrid Provectus is a Premier AWS partner and an Anthropic Preferred Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each rebuilds a critical business process front to back, shipped from working code. You'll learn the customer's job before you automate it. Most AI projects fail the same way: someone gathers requirements, someone writes a spec, and a team ships a workflow nobody uses. We think the requirements step is the bug. So we remove it. As an Associate Forward Deployed Engineer, you'll join each engagement paired with a Senior FDE. Together you'll spend time alongside the client to understand their workflow and business needs. Then you'll help rebuild that work from first principles, and write real production code for it. You won't start from zero: every engagement begins from a Blueprint that has already shipped for a customer in that industry, and what you learn in the field goes back into it. This role is for early-career engineers who want to learn how AI gets deployed in the real world — and who'd rather learn by building than by watching. What You'll Need: A degree in computer science, engineering or another STEM field 0–2 years of experience; internships, co-ops and research You built projects, where you integrated AI as a part of your SDLC (internship, research or hackathon entry) that you can walk us through in depth: what worked, what broke, and what you'd change Hands-on Claude Code basics Strong programming fundamentals in Python or TypeScript Curiosity and speed of learning — you pick up unfamiliar subjects quickly and ask good questions, especially about how real businesses work Good commication skills - ability to explain complex technical subjects to non-engineers Willingness to spend real time learning a client's job before you write code. It's the most unusual part of this role, and the most valuable Location & Work Arrangement: This role requires working on-site from our New York office 3 days per week Great If You Have: Cloud basics: AWS/Azure/GCP, containers, CI/CD AI/ML coursework or foundations Comfort with ambiguity — our engagements start open-ended by design Interest or coursework in financial services, insurance, healthcare or asset management Data pipelines or SQL; classical ML or MLOps (PyTorch, SageMaker, MLflow); infrastructure-as-code Open-source contributions, hackathon projects or public writing on applied AI Claude certification or AWS certification What You'll Learn: How to deploy LLM and agentic systems into regulated production — banks, insurers, health systems How to build evaluation harnesses: defining what "working" means, then measuring it Cloud delivery on AWS Claude Code in production, working toward Claude certification A real business domain — insurance underwriting, healthcare revenue cycle, asset management How to work with clients: their operators, engineers and executives Your first 90 days: Foundations — onboarding into our Blueprints, our delivery stack (Claude Code, AWS) and how we build evals, plus a primer on your first client's industry The seat — join an engagement with your senior FDE. Shadow the operator, then do the work yourself Your first piece — own a scoped part of a production system, with code review and your senior FDE beside you What You'll Do Take the seat — learn a client's function from the inside, and help redesign it alongside your senior FDE and the Forward Deployed Executive Build — ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines Build the evaluation harness before the feature — define what working means, then measure it Take systems to production on AWS, and feed what you learn back into the Blueprint Grow into ownership — your team is measured by the client's business results, not by hours. Drive adoption, because a system nobody uses hasn't shipped — and build credibility with the client's engineers and operators What you'll get: A senior FDE paired with you on every engagement, a named mentor accountable for your growth Regular feedback and a clear path to Forward Deployed Engineer Frontier delivery work across Cowork Activation, Agentic SDLC and Blueprint Activations in Financial Services and Healthcare Real production experience in regulated industries most early-career engineers never see Opportunity to work with cutting-edge AI and cloud solutions Full-time model Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Salary base range: $120-145k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. How We Hire Technical task — Complete a practical engineering task to demonstrate your programming fundamentals, problem-solving skills, and ability to work with AI-powered solutions. Intro conversation — Discuss your background, projects, and what you're looking for in your next role. Task discussion — Join a discussion about your approach to the task, what you'd build next, and how you'd evaluate whether it works. No LLMs are permitted during this session. Why we ask for a task We're growing and want to find the right fit. The task is a small investment of your time that gives you an opportunity to demonstrate your engineering skills, AI maturity, and ability to think independently. It also helps us verify that we're evaluating a real person rather than a bot. We're not using your work in our products or for client projects.

Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship How we hire Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion. We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Georgia; Washington State; Colorado; New Jersey; Texas Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to help enterprise customers turn automation from isolated workflow wins into a scalable operating model that drives measurable business impact. To do so, you’ll lead the business, adoption, and governance workstream across high-value enterprise deployments: DRIVE CUSTOMER OUTCOMES DURING DEPLOYMENTS - Lead the organizational workstream during focused on-site deployments, from executive kickoff to closeout. - Partner closely with a Forward Deployed Engineer to turn customer problems into adopted workflows that solve real operational pain. - Keep the engagement focused on the highest-value opportunities, not just the most technically interesting ones. BUILD THE AUTOMATION OPERATING MODEL - Guide customers in implementing the automation operating and governance model they need to scale n8n sustainably. - Help define ownership, decision-making, prioritization, enablement, and adoption practices across technical and business teams. - Leave customers more capable and confident by making automation part of how their organization works. IDENTIFY, PRIORITIZE, AND PROVE AUTOMATION OPPORTUNITIES - Map business processes to uncover high-impact automation opportunities across unfamiliar customer environments. - Develop and manage an automation roadmap with clear prioritization criteria, sequencing, and ROI logic. - Build business cases in the customer’s language by estimating impact, modeling value, and connecting automation to executive priorities. NAVIGATE ORGANIZATIONS AND SCALE WHAT WORKS - Build trust across technical teams, operators, executives, champions, skeptics, and the people who actually make decisions. - Identify upsell and expansion signals during engagements and hand them cleanly to the Customer Success team. - Feed learnings from every deployment into n8n’s internal playbooks, product feedback loops, and repeatable deployment motions. REQUIREMENTS MUST-HAVES - 🚀 Enterprise deployment experience: You have worked in deployment, implementation, consulting, solutions, or technical customer success roles at a B2B software company. - 🏢 On-site customer experience: You know what it takes to drive adoption with enterprise customers in complex, high-stakes environments. - 🧭 Business process mapping: You can walk into an unfamiliar operation, ask the right questions, and turn what you learn into clear automation opportunities. - ⚙️ Operating model thinking: You can help customers define the governance, ownership, and ways of working needed to scale automation sustainably. - 📊 ROI and prioritization: You can build value cases, estimate impact, and help customers prioritize an automation roadmap based on business outcomes. - 🛠️ Technical fluency: You do not need to write code, but you understand technical architecture, can demo convincingly, and can spot when a solution is not aligned with the customer’s needs. - 🤝 Organizational navigation: You know how to build trust across levels, manage competing priorities, and identify who can actually make decisions. - 🎙️ Storytelling: You can make complex technical concepts clear, compelling, and easy for senior stakeholders to champion internally. - ✈️ Travel readiness: You are willing to travel for on-site engagements roughly 30–50% of the time across Europe. - 🇬🇧 English fluency: You communicate clearly and confidently in English with technical, operational, and executive audiences. NICE-TO-HAVES - 🌍 European languages: You speak one or more additional European languages. - 🤖 Automation experience: You have helped customers adopt workflow automation, integration, AI automation, or internal tooling platforms. - 📚 Change management: You have guided teams through new operating models, governance processes, or technology adoption programs. - 🏗️ Enterprise transformation: You have worked on transformation initiatives where success depended on stakeholder alignment, enablement, and measurable business outcomes. - 🧩 Product feedback instincts: You know how to turn field learnings into crisp feedback that helps product and engineering teams build what customers actually need. Why join us? At n8n, you’ll help define how enterprise customers adopt automation in the real world — not through long consulting decks, but through focused deployments that create momentum, prove value, and make teams more capable. You’ll work at the intersection of strategy, technology, operations, and change management, partnering closely with Forward Deployed Engineers to turn complex customer environments into clear automation roadmaps. You’ll join a fast-growing, remote-first company with strong momentum, a passionate technical community, and a culture that values autonomy, experimentation, and ownership. Your work will shape how we scale enterprise deployments, build customer automation operating models, and turn what we learn in the field into repeatable playbooks for n8n. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Europe/Ukraine We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Requirements — Experience: 4+ years of professional experience in software engineering, where the last 2+ years was hands-on experience in the blockchain domain. — Strong production Golang: you write and ship services in Go, and you are comfortable reading, debugging and patching upstream Go codebases. — Blockchain Expertise: Extensive experience with Ethereum, including a deep understanding of its protocol, smart contract development, and associated technologies. — Hands-on experience in developing, deploying, and maintaining smart contracts on EVM chains (Solidity). — Understanding of L2s and optimistic rollup fundamentals: block derivation from L1, batch submission, state proposals, the withdrawal flow, and forced inclusion. — Understanding of OP Stack components and architecture. — Kubernetes and CI/CD: familiarity with Kubernetes for container orchestration and CI/CD tools for deployment automation. — Monitoring Tools: Familiarity with monitoring tools such as Prometheus and Grafana for performance tracking. — Cloud Platforms: Familiarity with cloud platforms (preferably AWS) and experience with containerization (Docker) is a strong plus. Would be a plus: — Rust at the level of reading and patching code. — Understanding of fault proofs: dispute games, bisection, FPVM, as well as ZK-based approaches. — Experience in conducting and successfully passing smart contract security audits. — Experience in developing blockchain nodes, bridges, indexers, etc. Responsibilities — Deploy, upgrade, and operate OP Stack components. — Set up monitoring and alerting: Prometheus, Grafana, PromQL dashboards, instrumentation of domain metrics (economic, bridge, sequencing). — Take part in the on-call rotation, drive incident response, and write post-mortems and runbooks. — Work with the smart contracts, security and product teams on launches, network upgrades and hard fork activations. — Foster collaboration, knowledge sharing, and professional growth. — Work closely with cross-functional teams to define project requirements and ensure alignment with business objectives. — Stay updated on advancements in blockchain technology and Ethereum, and apply new features and best practices to enhance our solutions. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Задачи: — Участвовать в разработке клиентских приложений; — Помогать тестировщикам в локализации ошибок; — Проводить code-review; — Разрабатывать unit-тесты. Требования: — Опыт разработки на Kotlin для Android более трёх лет; — Опыт работы с Kotlin Multiplatfrom (KMP) обязателен; — Опыт разработки BDUI; — Умение проектировать клиент-серверное взаимодействие; — Знание классических алгоритмов и структур данных; — Умение разбираться в чужом коде и не бояться его. Условия: — Официальное оформление с белой зарплатой, ежеквартальные премии по результатам работы; — Возможность работать удалённо или в гибридном формате; — Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья; — Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары, участие в конференциях, программы развития цифровых и управленческих навыков, корпоративный университет, школа наставников и многое другое; — Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к конференциям, сообщество авторов на Хабре; — Обмен опытом через 12 технических комьюнити от java до devops; — Яркая корпоративная жизнь с мероприятиями, конкурсами, творческими возможностями: митапы, демо-дни, открытые микрофоны, день IT-специалиста, волонтерство, корпоративное предпринимательство X5 Idea Challenge; — Забота о благополучии сотрудников: 7 спортивных сообществ (бег, футбол, волейбол, баскетбол, хоккей, лыжи, триатлон), ежегодная Неделя здоровья; — Скидки в экосистеме бизнесов Х5 («Пятёрочка», «Перекрёсток», «Много лосося», «Перекресток Впрок»); — Программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров); — Материальная помощь сотрудникам, попавшим в сложную жизненную ситуацию.

* Act as a key technical leader across site reliability, platform architecture, and infrastructure scaling. * Experience in effectively designing and operating large-scale cloud environments in a platform, SRE, or architecture team, with a focus on enabling self-service capabilities and a great user experience.

* Experience across support, implementation and pre-sales, and you're happy switching between them on the same day. * Technically capable: you can query and analyse data yourself and you're comfortable with integrations, APIs, permissions and data flows.

* Собирать и уточнять требования у руководителей проектов, портфельного офиса и заказчика: что должно быть в реестре, какие своды нужны руководству, кто что имеет право видеть и править. * Превращать требования в чёткие постановки для ИИ-агента и вести разработку через него: модели данных, API, экраны, отчёты, импорты.

Чем предстоит заниматься: • Разработка и поддержка кроссплатформенного мобильного приложения на React Native (TypeScript) • Проектирование архитектуры мобильного клиента с учётом требований безопасности, производительности и масштабируемости • Активно взаимодействовать с дизайнером и совместно искать и реализовывать лучшие UX решения;

Ищем креативного продюсера, который возьмёт на себя производство видео и статики для UA: выстроит конвейер, повысит долю «выстреливающих» креативов и будет замыкать цикл «гипотеза → ТЗ → продакшн → тест → разбор метрик». Твои задачи: Построить и вести систему производства креативов: бэклог гипотез, план тестов, приоритизация, контроль сроков и качества;

-Ревью кода разработчиков: смотреть архитектуру, качество, безопасность и соответствие стандартам 1С-Битрикс и Битрикс24, возвращать правки и доводить решение до приемлемого уровня. -Оценивать задачи в часах до старта работ и согласовывать оценку с менеджером проекта.