Вакансии

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. The Opportunity: Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities. What You’ll Be Doing: Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners Leading technical engagement with partners to drive deal progression and close opportunities Delivering product demos, technical presentations, and hands-on enablement sessions Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services. Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams Shaping and expanding the reach of Grafana Partner University across multiple partner personas Collaborating with internal teams to provide product and competitive feedback Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners Run high impact workshops and 1:1 training to generate and progress pipeline Travelling up to 50% to support cloud partner events, workshops, and field activities What Makes You a Great Fit: Located: United States (Remote) 6+ years in pre-sales or solution architecture, ideally within the observability space Strong experience selling SaaS software across the NORAM region Proven use of MEDDIC or similar qualification frameworks Excellent communication and interpersonal skills, especially in remote, global teams Demonstrated ability to operate in a fast-paced, ambiguous, startup environment Strong judgement, leadership, and problem-solving abilities Passion for education, enablement, and helping others succeed technically Bonus Points For: Experience with CSP’s and a strong understanding of their core infrastructure services. Experience with cloud marketplaces, co-selling, or joint solution launches. Solid understanding of observability and cloud native tooling Background in OSS first companies Experience with Grafana, Prometheus, and Loki Hands-on experience deploying and operating Kubernetes Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience) Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000 . 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're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is CAD 170,247 - $204,297 .  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 . #LI-Remote #LI-Remote *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: 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 seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. 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 position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. 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: 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're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is USD $ 167,143 - $200,572 .  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 . #LI-Remote #LI-Remote *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 .

Требования: — Опыт коммерческой разработки на Java от 4 лет. — Java 11+, Spring Boot, Spring Cloud, Spring Data JPA, Hibernate. — SQL (PostgreSQL/Oracle), оптимизация запросов. — Многопоточность, REST API, JWT, Swagger/OpenAPI. — JUnit 5, Mockito, Git, CI/CD. — SOLID, Clean Code, паттерны проектирования. — Узбекский язык - обязательно, английский - желательно. — Умение проверять банковские продукты и воспроизводить реальные сценарии. — Будет преимуществом: Docker, Kubernetes. — Prometheus, Grafana. — Опыт с высоконагруженными интеграционными сервисами. — Понимание распределенных систем и TDD. — Настройка CI/CD (Jenkins, GitLab CI, CircleCI). Локация: Только для кандидатов с гражданством Узбекистана.

Location: All Cities Workplace: Remote Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. ROLE OVERVIEW We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client. You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable. This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively. As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy. KEY RESPONSIBILITIES - Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns - Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team - Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems - Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback - Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production - Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call - Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements - Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar QUALIFICATIONS - 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end - Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil - Hands-on experience designing modernising and operating CI/CD pipelines - Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation) - Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker) - Proficiency in at least one programming/scripting language for automation (Python / Go / Bash) - Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry) - Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation - A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals - Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices YOU WOULD IMPRESS US IF YOU HAVE - Prior experience working with Google Cloud Run - Experience introducing AIOps tooling into an existing observability stack - Background in performance and load testing. - Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR) OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Programme – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Требования: — Опыт работы от 4 лет. — Работа с production-инфраструктурой и AI-сервисами. — Стек: Linux, Docker, Kubernetes, Terraform, Ansible, Gitlab CI/CD, Bare metal, Prometheus, Grafana, Python, Bash. — Опыт с AI/ML инфраструктурой, LLM сервисами, деплоем моделей. — Английский язык для делового общения. Условия: — Удалённый формат работы.

Задачи: — Проектирование и поддержка инфраструктуры проектов (Highload / Enterprise). — Настройка и оптимизация CI/CD пайплайнов. — Автоматизация развертывания и управления конфигурациями. — Обеспечение отказоустойчивости и мониторинга систем. — Работа в тесной связке с командами разработки и QA. Требования: — Опыт работы DevOps/SRE/Infrastructure Engineer от 3-х лет. — Понимание принципов CI/CD, Immutable Infrastructure, IaC. — Опыт администрирования Linux-систем. — Знание сетевых технологий (DNS, HTTP/HTTPS, TCP/IP, балансировка). — Опыт работы с контейнеризацией. — Стек технологий (в разных вариациях): Cloud: Yandex Cloud, AWS, Google Cloud или приватные облака. — Оркестрация: Kubernetes (K8s), Docker Swarm, Nomad. — CI/CD: GitLab CI, Jenkins, TeamCity, GitHub Actions, ArgoCD. — IaC: Terraform, Ansible, Pulumi. — Мониторинг: Prometheus, Grafana, Zabbix, ELK/EFK, VictoriaMetrics. — Языки: Python, Go, Bash (для автоматизации). Условия: — Работа через ИП. — Удалённая работа или гибрид по желанию. — В основном заказчики работают по времени МСК. — Разнообразие задач — от стартапов на AWS до энтерпрайза на Yandex Cloud. — Оплата обсуждается индивидуально, зависит от уровня и проекта (выплаты стабильные, без задержек).

Location: Москва В команду сопровождения автоматизированных систем СБОЛ, требуется инженер на сопровождения шлюзовых решений. Наша команда занимается развитием, внедрением и далее поддержкой высокопроизводительных продуктов и интеграционных решений. В нашем распоряжении порядка 5 тысяч серверов, которые обслуживают ~400 тысяч запросов в секунду. Обязанности * разворачивание определенного архитектурой банка техстека, поддержка и развитие функционала, работающего под высокой нагрузкой Требования • опыт сопровождения прокси серверов, серверов приложений под управлением ОС Linux • базовый практический опыт администрирования ОС Linux • знание таких инструментов как Jira, Confluence, Bitbucket, Nexus, умение применять на практике приветствуется • знание в интеграциях систем, форматах XML, Json, SQL (Oracle, Postgress) и noSQL БД • знание инструментов мониторинга Prometheus – Grafana, HostMonitor, ASH Viewer, Zabbix • общие базовые знания сетевых технологий, стека TCP/IP • желателен опыт сопровождения высоконагруженных систем • понимание принципов обеспечения высокой доступности и масштабирования систем • желателен опыт успешных внедрений и эксплуатации разработанных приложений Условия * офисный формат работы Кутузовская 32к1 * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматология и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис на Кутузовской с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ (не применимо для сопровождения) * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм+, скидки от партнеров и сервисов группы компаний.

Задачи: — строить и оптимизировать масштабируемые системы обучения с подкреплением, конвейеры, инфраструктуру наблюдаемости и оценки. Требования: — опыт работы с reinforcement learning, machine learning. — знание Jax, Kubernetes, Grafana, Prometheus, Slurm, PyTorch, OpenTelemetry. Условия: — работа в офисе в Сан-Франциско, Калифорния. — зарплата $425,000 - $475,000 в год.

Location: Bengaluru, India We are looking for a DevOps Engineer who will focus on cloud infrastructure automation, CI CD pipeline management, and platform stability. You will work on a cloud based platform that supports reliable, secure, and scalable delivery of software systems across multiple environments. This role combines hands on engineering with close collaboration across development and quality teams. The project focuses on building and operating a shared cloud platform that enables teams to deploy and run applications in a consistent and automated way. The platform supports continuous delivery, infrastructure automation, and operational stability across cloud environments. Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code practices. Develop, maintain, and improve CI CD pipelines to support secure and efficient software delivery. Deploy and operate workloads in AWS and Azure, including networking, storage, and security configurations. Implement monitoring, logging, and alerting solutions to ensure platform reliability and performance. Perform root cause analysis and troubleshooting for infrastructure and CI CD pipeline issues. Collaborate with product owners, developers, and QA specialists to translate platform and delivery needs into technical solutions. Contribute to platform stability, standardization, and continuous improvement initiatives. Experience working with Azure and Terraform in a production environment. Hands on experience with CloudFormation for infrastructure automation. Experience using Docker for containerized applications. Practical experience with GitHub and GitHub Actions, including branching strategies and pull request workflows. Experience designing or supporting CI CD pipelines. Understanding of cloud networking, security, and operational best practices. Ability to document solutions and communicate technical decisions clearly in English. Experience working with Kubernetes. Programming or scripting experience with Python, Go, Java, Shell, or PowerShell. Experience with monitoring and observability tools such as Splunk, Datadog, Prometheus, or Grafana.

Задачи: — Создавать, настраивать и поддерживать отказоустойчивую, масштабируемую и безопасную инфраструктуру в облаке. — Описывать инфраструктуру как код (IaC). — Участвовать в переносе локальных (on-premise) сервисов или legacy-систем в облачную среду. — Настраивать системы отслеживания здоровья сервисов, метрик и алертинга. — Анализировать потребление ресурсов и оптимизировать расходы на облако. — Настраивать сетевую безопасность, управление доступами и политиками информационной безопасности. Требования: — Опыт работы DevOps-инженером или Cloud-инженером от 2-3 года. — Глубокое понимание архитектуры облачных сервисов (Cloud.ru приветствуется). — Уверенное владение Linux (Ubuntu/Debian, CentOS/RHEL) на уровне администрирования. — Понимание сетевых технологий: TCP/IP, DNS, VPN, NAT, балансировщики нагрузки (NLB/ALB), CDN. — Знания Terraform и Ansible. — Опыт работы с Docker и Kubernetes. — Опыт построения пайплайнов (GitLab CI/CD). — Опыт работы с системами мониторинга: Prometheus, Grafana, ELK/EFK Stack, Datadog или встроенными облачными инструментами мониторинга. Условия: — Гибридный или полностью удалённый формат работы. — Офис в Москве (5 минут от метро Новокузнецкая) с фитнес-залом, настольным теннисом, комнатой PS5 и регулярными активностями. — Офис в Санкт-Петербурге (10 минут от метро Маяковская) с PS5 и еженедельными вечеринками. — Работа в аккредитованной ИТ-компании со всеми предусмотренными государственными льготами, включая ИТ-ипотеку. — Полностью «белая» заработная плата. — Уровень дохода обсуждается индивидуально и зависит от опыта и экспертизы. — ИТ-отсрочка и бронь от мобилизации для сотрудников с критически важной инфраструктурой. — Корпоративные льготы на авиабилеты для сотрудника и членов семьи. — ДМС с первого рабочего дня с возможностью подключения семьи на льготных условиях. — Компенсация питания при работе из офиса. — Курсы, сертификации, профессиональные конференции. — Корпоративный сервис благополучия: консультации по юридическим, психологическим, финансовым вопросам и вопросам здоровья. — Корпоративные мероприятия и активности: спорт, киберспорт, мотопробеги и другие форматы внерабочего общения. — Дополнительно: кафетерий скидок, доступ к корпоративной библиотеке Alpina Digital, билеты на футбольные и баскетбольные матчи.

Задачи: — Участвовать в развитии и настройке CI/CD — Проектировать и разрабатывать конвейеры сборки и развертывания распределенных (многоЦОДовость, репликация) информационных систем — Поддерживать работоспособность компонентов платформы данных. — Участвовать в исследовании новых инструментов, фреймворков и практик в области работы с данными. — Разворачивать и настраивать эти инструменты. — Работать в распределенной команде с использованием инструментов аудио-видеосвязи и чата для проведения командных мероприятий (планирование, дэйли, обзоры, ретроспективы). Требования: — Понимание CI/CD процессов — Навыки работы с CI/CD, Jenkins, AWX, Ansible, BitBucket, Gitlab (или аналоги) — Навыки деплоя и развертывания приложений, в том числе в контейнерах — Навыки работы с инструментами визуализации метрик: Grafana, Prometheus, VictoriaMetrics — Владение системами контроля версий - Git — Уверенное использование ОС linux — Владение корпоративными инструментами для работы с задачами и ведения корпоративной базы знаний (Atlassian Jira, Atlassian Confluence, Яндекс.Трекер и т.д.): создание и модификация задач, отслеживание хода выполнения задач с помощью досок, сопровождение документации и обмен знаниями Условия: — Оформление согласно ТК РФ — Достойный уровень заработной платы + премии — График работы: 5/2 (3 в офисе /2 удаленно) — Дополнительный социальный пакет: телемедицина, полис для выезжающих за рубеж, страхование от несчастных случаев и рисковых заболеваний, доплата по больничным листам до 20 дней в году — Комфортный офис в центре: тренажерный и спортивный залы, лаунж-зона, микромаркеты, кухни с чаем, кофе и снеками на каждом этаже

Задачи: — Поддержка и развитие инфраструктуры на Ubuntu 22.04/24.04; — Настройка и сопровождение CI/CD в GitLab; — Управление кластерами Kubernetes и окружениями на Docker Compose; — Настройка серверов с GPU (драйверы NVIDIA, контейнерный рантайм, мониторинг утилизации); — Поддержка инфраструктур; — Управление стеком логирования; — Диагностика инцидентов (логи systemd, подов, пайплайнов, Graylog); — Написание документации и runbook'ов. Требования: — ОС и системное администрирование; — Уверенное администрирование Ubuntu 22.04 и 24.04 (установка, настройка, обновление, решение проблем); — Systemd: написание и отладка unit-файлов, работа с journalctl, таймерами, управление сервисами; — Docker: создание и оптимизация образов, понимание устройства контейнеров; — Docker Compose: запуск и поддержка многоконтейнерных окружений; — Kubernetes: опыт эксплуатации production-кластеров, Helm, работа с подами, сервисами, ingress, PVC, секретами; — GitLab CI/CD: построение пайплайнов, настройка раннеров, интеграция с Kubernetes; — Работа с драйверами NVIDIA под Linux: установка, отладка, решение конфликтов при обновлении ядра, настройка NVIDIA Container Toolkit; — Проброс GPU в Docker и Kubernetes; — Эксплуатация PostgreSQL: установка, настройка репликации, бэкапы, мониторинг; — etcd: понимание устройства, дефрагментация, бэкап и восстановление как для K8S так и для приложений; — RabbitMQ: настройка кластеризации, мониторинг очередей, управление пользователями и правами, помощь разработчикам; — Kafka: администрирование кластеров, работа с топиками, consumer groups, оффсетами, настройка репликации; — OpenSearch: установка, настройка репликации, бэкапы, мониторинг, настройка индексов, ILM-политик, шардирование, интеграция с Graylog; — Graylog: развертывание, настройка индексов, streams, pipelines, дашбордов, алертов; — Prometheus + Grafana: настройка сбора метрик, дашбордов, алертов; — Понимание TCP/IP, DNS, firewall (iptables/ufw), обратный прокси (nginx). Условия: — Удаленный формат работы; — Уровень оплаты после результатов собеседования; — Гибкий режим начало/конец рабочего дня.

Задачи: — Развёртывать и администрировать Kubernetes-кластеры (DropApp/OpenShift): настройка ресурсов, квот — Строить и поддерживать CI/CD-конвейеры (Jenkins + Bitbucket): от сборки Docker-образов до деплоя в prod — Настраивать GitOps-процессы (ArgoCD + Helmfile): declarative deployment, automated sync — Конфигурировать и поддерживать service mesh (Istio / Platform V SSM): mTLS, traffic splitting, egress control — Обслуживать мониторинг (Prometheus + Grafana) и логирование (PVS + Kafka): написание правил алертинга, dashboards — Писать и поддерживать Helm-чарты, стандартизировать шаблоны для продуктовых команд — Собирать и оптимизировать Docker-образы (buildKit) — Обеспечивать безопасность контейнеров: security contexts, network policies, оперативное устранение уязвимостей — Работать с заказчиками из продуктовых команд: собирать требования, предлагать решения, документировать изменнеия — Участвовать в incident response, проводить postmortem-анализ, внедрять preventive-меры — Поддерживать и развивать shared libraries для стандартизации пайплайнов Требования: — Kubernetes: уверенное знание (deployment, service, configmap, secrets, hpa, pvc), опыт от 2 лет — CI/CD: Jenkins pipeline DSL (Groovy), опыт написания shared libraries — GitOps: практический опыт работы с ArgoCD (проекты, application lifecycle) — Helm: написание и поддержка Helm-чартов, знакомство с Helmfile — Мониторинг: настройка и обслуживание Prometheus (scrape configs, recording/alerting rules), Grafana — Docker: написание и оптимизация Dockerfile, сборка образов, работа с container registry — Linux и сети: понимание принципов работы Linux, TCP/IP, DNS, load balancing — Системы управления задачами: опыт работы с issue tracking, написание фильтров и запросов Желательное: — Опыт работы с OpenShift — Знание Ansible (roles, playbooks) — Понимание принципов работы Istio / Service Mesh (VirtualService, DestinationRule, Gateway) — Опыт работы с системами сбора логов (PVS, ELK, OpenSearch) — Знание принципов безопасности Kubernetes (security contexts, network policies) — Опыт работы с IAM (OIDC, service accounts, RBAC) — Знание Kafka (event streaming, интеграция с логированием) Будет большим плюсом: — Опыт миграции приложений на новую платформу контейнеризации — Знание SRE-практик (SLO/SLI, error budgets, SLA) — Опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов — Инструментальное владение AI для анализа, генерации и автоматизации. Условия: — Комфортный современный офис рядом с м. Тульская — Возможность выбрать удобный график – офис/гибрид — Ежегодный пересмотр зарплаты и годовая премия — Корпоративный спортзал и зоны отдыха — Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — Подписка Прайм с возможностью совместного использования на трёх близких — Вознаграждение за рекомендацию друзей в команду Сбера

Задачи: — Проектирование, развертывание и сопровождение промышленной blockchain-платформы на базе Hyperledger Fabric в защищённом корпоративном контуре. — Развертывание и сопровождение Hyperledger Fabric. — Развертывание и сопровождение витрины, вспомогательных сервисов и chaincode в Kubernetes. — Развертывание и сопровождение PostgreSQL для прикладных и вспомогательных компонентов платформы. — Настройка TLS/mTLS, интеграция с PKI/УЦ, выпуск и ротация сертификатов. — Построение и сопровождение CI/CD для инфраструктуры и релизов платформы. — Автоматизация установки, конфигурирования, обновления и эксплуатации. — Настройка мониторинга, логирования, и сбора метрик. — Hardening серверов и контейнерной среды, настройка защищённого доступа, взаимодействие с ИБ и инфраструктурой. Требования: — Опыт работы в направлении DevOps от 5 лет. — Уверенное администрирование Linux (Alt, Astra), опыт эксплуатации сервисов на виртуальных машинах, понимание systemd, сетевой настройки, файловых систем, SSH, журналирования и базового hardening. — Уверенное знание Docker и/или Podman, практический опыт с Kubernetes в production, опыт работы с Helm, ingress controllers, secrets/configuration management. — Практический опыт развертывания и сопровождения PostgreSQL. — Опыт построения и сопровождения CI/CD, практический опыт с Jenkins и/или GitLab CI/CD. — Практический опыт с Ansible, Terraform или аналогами, опыт автоматизации установки, конфигурирования, обновления и эксплуатации инфраструктуры. — Уверенные навыки Bash и/или Python. — Опыт настройки мониторинга, логирования, сбора метрик (OpenSearch, Prometheus, VictoriaMetrics, Zabbix, Grafana). Условия: — Опыт работы в аккредитованной IT-компании над социально значимыми уникальными проектами. — Официальное трудоустройство с первого рабочего дня. — Гибридный формат работы для локаций с офисами (3 дня в офисе, 2 дня удалённо), для остальных локаций — удалённо. — Стабильный доход и квартальные премии. — Компенсация 9 видов расходов: от КАСКО до путевок на отдых. — Интересная программа внутреннего и внешнего обучения. — Прозрачные условия для развития и карьерного роста. — ДМС со стоматологией и международной страховкой.

Задачи: — Настраивать и совершенствовать Gitlab CI/CD пайплайны. — Запускать в эксплуатацию новые проекты на стеке Kubernetes, Docker, Docker Swarm, Python, PostgreSQL, Nuxt, nginx, Redis. — Развивать системы мониторинга и логирования на основе Prometheus, Loki, Mimir, Grafana, Sentry. — Поддерживать и развивать внутреннюю инфраструктуру компании: Gitlab, Mattermost, ActiveCollab, WireGuard VPN. — Заниматься автоматизацией рутинных задач при помощи Ansible, Shell и Python. Требования: — Опыт работы с Kubernetes, Docker, Docker Swarm. — Знание систем мониторинга и логирования: Prometheus, Grafana, Loki, Mimir, Sentry. — Опыт настройки CI/CD пайплайнов в Gitlab. — Навыки автоматизации с помощью Ansible, Shell и Python. — Будет плюсом: опыт работы с Deckhouse, HAProxy, nginx и его форками. Условия: — Официальное оформление по ТК РФ. — Гибкий график: начало рабочего дня с 9 до 11. — Гибридный формат работы для сотрудников из Москвы, удалёнка для сотрудников из других городов. — Подписка на сервис BestBenefit для льготных условий на обучение, спортзал и другие сферы. — После года работы — ДМС со стоматологией, психологическими сессиями, скидками в аптеках до 80% и др.