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Location: Spain (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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Spain, the Base compensation range for this role is EUR 73,000 -  88,000.  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: Republic of Ireland (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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the ROI, the Base compensation range for this role is EUR 92,000 -  110,000.  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: Germany (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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Germany, the Base compensation range for this role is EUR 85,000 -  102,000.  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: 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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Canada, the Base compensation range for this role is CAD 145,000 - 178,000.  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: San Francisco, CA • New York, NY • United States 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! Production Engineering embeds with product and platform teams across Figma to help them deliver reliable products faster. Our work spans the stack, from browser performance to backend services and infrastructure. We build tools and practices that reduce operational complexity, clarify important signals, and leave teams confident operating their systems. We value curiosity, thoughtful engineering, and practical progress on problems that matter to the business. As Engineering Manager, you’ll own the team’s strategy, priorities, delivery, and people development. You’ll work with product and platform leaders to decide where the team can make the biggest difference, balancing immediate production needs with lasting improvements. You’ll use your technical judgment to challenge assumptions and assess risk while giving engineers room to lead. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Coach and develop production engineers, including experienced technical leaders, through direct feedback and opportunities to shape technical strategy and lead work across teams Set priorities and guide delivery for the team’s embedded work with Figma’s product and platform organizations. Align partners on outcomes, responsibilities, and tradeoffs, and resolve competing demands Guide improvements to observability, incident response, and production tooling that reduce recurring toil, surface actionable signals, and make services easier for product teams to understand and operate Partner with engineers on long-term technical direction, design, and production reviews, supporting their ownership of technical decisions and holding the team accountable for delivery Anticipate reliability and scaling challenges alongside partner-team leaders, and prioritize improvements that support upcoming product goals Turn lessons from work with product teams and production incidents into reusable tools and practices that strengthen partner teams’ ownership and make on-call more sustainable We’d love to hear from you if you have: Experience managing engineering teams and developing senior engineers, helping them grow their technical judgment, leadership, and impact Experience building and operating complex software systems at scale, with the technical judgment to guide decisions across the stack and learn unfamiliar systems Experience leading complex initiatives across engineering teams and cross-functional partners, earning trust beyond your reporting line, resolving competing priorities, and delivering shared business goals Sound judgment about reliability, security, and sustainable operations, with clear communication and respect for engineers’ technical ownership While it’s not required, it’s an added plus if you also have: Experience building shared reliability platforms, observability or distributed tracing systems, or tooling that reduces toil across multiple engineering teams Familiarity with traffic management, service discovery or service meshes, container orchestration, infrastructure as code, or capacity and performance engineering Experience improving incident response processes and reducing on-call burden 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD 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.

Location: United States Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. This position is required to be in the US Eastern Time Zone.   WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.   WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar.   OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States Remote; Canada Remote; United Kingdom Remote Workplace: Remote ABOUT THE TEAM The Mural Compose team is ambitious and fast-moving. We are passionate builders who love to experiment and iterate. Our project is seeking to leverage the latest technology in AI to acquire new customers and expand our revenue base as broadly as possible. This team is at the front of our product strategy and future growth.   YOUR MISSION You'll lead the team behind one of Mural's most important bets. In the near term, you'll take our AI native product from early access to a product that customers rely on every day, raising quality, reliability, and speed as more users come on board. Expect a very hands-on role. You'll review PRs, set the technical standards the team builds to, and stay close to the code and architecture decisions. You'll also keep the team's pace high and sustainable while building a high-performing team in a remote-first way.   WHAT YOU'LL DO -  Lead, hire, and grow a team of full-stack engineers through regular 1:1s, clear expectations, coaching, and performance management. - Own delivery end to end with a fast, experimental loop: ship early to real users, measure what works, and iterate quickly without losing reliability. - Partner with Product and Design as co-owners of the Compose roadmap, using customer feedback and usage data to decide what to build, cut, or double down on. - Raise engineering craft across testing, observability, and AI-assisted development, and model Mural's remote-first, work-in-public culture at a sustainable pace. WHAT YOU'LL BRING -  2+ years managing software engineers directly, with responsibility for hiring, coaching, and performance management. - 5+ years of prior experience as a software engineer building and operating production applications, with hands-on technical work in the last 3–4 years. - A solid technical foundation, enough to lead architecture discussions and review code with credibility. - A bias for experimentation: you make sound calls quickly, learn from data, and change course when the evidence says so. - A people-first approach: you lead with empathy, listen first, and build the trust and psychological safety that help each person do their best work. - Excellent communication skills, including explaining technical tradeoffs clearly to product, business, and customer stakeholders. - Experience leading a team that shipped LLM-powered features to production, including evaluation, quality monitoring, and cost management. - Experience building AI agents, retrieval systems, knowledge graphs, or familiarity with Model Context Protocol (MCP). Our Stack Azure OpenAI, React, Node, MongoDB EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

• Архитектура и стандарты: развивать архитектуру приложений, формировать стандарты разработки и проводить code review. • Базовый шаблон: развивать и поддерживать базовый Android-шаблон для быстрого запуска новых продуктов.

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 Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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 position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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 .

-Организация и координация работы scrum-команды разработчиков. -Постановка задач, контроль сроков и качества выполнения.

Location: Rio de Janeiro or São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia. What You’ll Do Design, implement, and maintain cloud infrastructure using Infrastructure as Code Support the platform architecture across private networking, containers, edge and CDN services, managed storage, IAM, and security boundaries Develop and maintain CI/CD pipelines, including federated identity, access controls, and separation between read and write operations Implement platform observability, monitoring, alerting, and operational dashboards Establish secrets-management and rotation processes Develop disaster-recovery, resilience, and business-continuity capabilities Build and maintain serverless functions and infrastructure automation using Python Establish security guardrails and operational standards for a multi-tenant development platform Collaborate with AI engineering teams to integrate agent capabilities and automated deployment workflows Support ephemeral cloud environments used for AI-powered application development Improve production readiness through documented, reviewable, and reversible infrastructure changes Troubleshoot complex platform issues and conduct root-cause analysis Take end-to-end ownership of platform stability, reliability, and operational performance Identify opportunities to reduce deployment friction and improve the developer experience Contribute to the continuous improvement of platform architecture, tooling, security, and operations What You Bring Experience designing, implementing, and operating cloud-native infrastructure within a public cloud environment Hands-on experience using Infrastructure as Code in production environments Experience with Go or Go-based infrastructure tooling Understanding of cloud networking, private networks, firewalls, containers, edge and CDN services, managed storage, and IAM Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions Knowledge of federated identity, authorization policies, least-privilege access, and secrets management Experience implementing observability, monitoring, alerting, and disaster-recovery strategies Proficiency in Python for infrastructure automation, serverless functions, or supporting services Experience supporting multi-environment architectures and production-grade platforms Understanding of platform security, resilience, scalability, and operational reliability Strong troubleshooting and root-cause analysis skills Strong written communication and technical documentation skills Professional English proficiency Ability to work effectively in ambiguous environments, make sound technical decisions, and take ownership of outcomes Nice to have Experience operating multi-tenant platforms for internal enterprise users Knowledge of cloud-security guardrails and software supply-chain security Experience with on-call operations, incident management, and production reliability Familiarity with AI-powered development platforms Exposure to agent-based engineering and deployment workflows Experience designing infrastructure to reduce blast radius and isolate failures Knowledge of controlled deployment, rollback, and change-management practices Experience supporting developer platforms or internal platform-engineering products English level Upper-Intermediate Work Type: Remote Location Requirement: Candidates must be based in São Paulo or Rio de Janeiro Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a critical member of our growing talent team, you will own building our sourcing engine to engage and hire world-class talent. This is an opportunity to partner directly with our talent dense Engineering teams. You will be the first point of contact for countless industry professionals, fully responsible for delivering an excellent candidate experience right from the start. *This is a full-time, 6 month contract position What You’ll Do - Innovate and operationalize creative sourcing strategies to deliver top technical talent to Ramp - Own talent mapping research, referral generation, and sourcing campaigns - Effectively align candidates’ motivations with Ramp's value proposition, roles, and expectations - Lead intake meetings with stakeholders to qualify and deeply understand requirements/qualifications for tech job profiles - Manage pipeline activity reports and analyze historical data to optimize hiring impact - Drive Ramp’s engagement across external conferences, networking events, and professional association partnerships - Partner closely with recruiting leadership to anticipate upcoming headcount and proactively understand how new hires will fit into the organization - Build networks and long-term relationship for potential candidates and communities What You’ll Need - 2+ years of technical sourcing experience in a similar role at a high-growth technology company or startup preferred - Familiarity with traditional and modern (AI) sourcing and search techniques - Excellent written and verbal storytelling communication skills - Ability to influence at various levels in an organization, anchoring on data-driven decision-making Nice to Haves - Demonstrated knowledge of Software Engineering job profiles - Experience with our suite of recruiting tools (Ashby, Claude Code, etc.) - Bachelor's degree from an accredited university BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Russia; Moscow; Perm Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. The role THE ROLE We are hiring a Senior Backend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows, logging in and signing transactions, and other Xsolla teams build on top of them. WHAT YOU WILL OWN The backend services of your product area end to end: design, implementation, release and production operation, including on-call Architecture across services: service boundaries, integration contracts and data ownership. You make these decisions and justify them in writing Reliability and security of critical flows: SLOs, failure handling, protection of user data and credentials Service performance and cost under load WHAT YOU WILL DO Design and build services and APIs (REST, gRPC) for authentication, account management and wallet operations Define service boundaries and integration contracts with other Xsolla teams Design data models and storage; optimize schemas and queries Build event-driven and asynchronous workflows Own observability: metrics, logs, tracing and alerting, and act on what production tells you Take part in on-call, incident response and post-mortems Improve the engineering environment: CI/CD, infrastructure-as-code, testing Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Responsibilities Language and platform 5+ years of commercial backend development Go: idiomatic code, concurrency (goroutines, channels, context and cancellation), memory and performance profiling (pprof) Data Relational databases (PostgreSQL, MySQL): schema design, indexes, query plans, transactions and isolation levels, safe migrations Caching (Redis): when to cache, invalidation, consistency trade-offs Distributed systems Service architecture and distributed-systems trade-offs: consistency, availability, idempotency, retries, failure modes Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing APIs Designing REST and gRPC APIs: versioning, backward compatibility, contract documentation (OpenAPI / Swagger, Protobuf) Security and identity Application security: common vulnerability classes (OWASP Top 10), secrets management, safe handling of user data OAuth 2.0 / OIDC from the server side: flows, tokens, sessions Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting; diagnosing incidents in production Engineering practices Testing: unit, integration, contract Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Nice to Have Web3 backend experience: blockchain integration, wallet infrastructure, account abstraction High-load systems Cloud platforms (GCP, AWS or Azure) and infrastructure-as-code NoSQL databases (MongoDB or similar) Domain experience in gaming, e-commerce, fintech or payments HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

This is a senior-level QA Automation position with a strong focus on test strategy, automation framework development, performance testing, CI/CD integration, and modernization of complex enterprise applications. You will work on improving test coverage, reliability, performance, and engineering quality across legacy and modernized software components.

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS Hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each. Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo.

• Разработка и поддержка backend-сервисов на Python; • Работа с очередями/брокерами: Kafka, RabbitMQ, Redis Streams, Celery;