Вакансии

- Розробка нової апаратної частини; - Проєктування принципових схем, підбір електронних компонентів, компонування плат;

Location: London; Dublin; New York; Sofia; Switzerland; Poland Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re hiring Site Reliability Engineers to set the reliability standard across everything we build. Businesses and developers build their own products and customer experiences on our platforms, from live customer conversations to content production, much of it real time and latency-sensitive. Our reliability is part of theirs, so there is very little room for downtime. You’ll join our dedicated Reliability team and own how we design for resilience, respond to incidents and keep improving. You’ll work directly with product and engineering teams to define reliability targets, build the tooling to measure them, and shape the architecture and practices behind them. - Design and run disaster recovery programmes, setting ambitious recovery targets and testing against them regularly. - Define SLAs and SLOs with each product team, and build the tooling to track them by product and customer. - Own how we detect, respond to and learn from incidents, including alerting design, the incident process and post-mortems, and our on-call process. - Build AI-assisted investigation and auto-resolution, from agent-led diagnosis to automated remediation. - Embed with product teams to shape architecture and engineering practices for resilience at scale. REQUIREMENTS - Hands-on experience running production systems at scale as an SRE, infrastructure engineer or similar, with a track record of measurably improving reliability. - A strong background in backend development, and a habit of solving reliability problems with code and automation. - Experience owning incident response, on-call and post-mortems, and driving fixes through to completion. - Experience with observability and alerting, and with defining and tracking SLOs or SLAs. - Solid grounding in Kubernetes and cloud infrastructure (GCP and AWS preferred) LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

— Разработка и оптимизация высокопроизводительных систем на Rust для генерации и верификации ZK-доказательств. — Проектирование архитектуры нод и сетевых протоколов Lagrange.

-Проектировать структуры операционных хранилищ и модели мастер-данных. -Разрабатывать процессы загрузки, обработки, хранения и передачи данных.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the United States or Canada. The Opportunity: Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on Prometheus , Grafana Alloy , Mimir proxies , and OpenTelemetry. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability. Take an active role in influencing our roadmap and your own career objectives. Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers. Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope. Be a part of your team’s on-call rotations and take ownership of the services you’re running. Mentor and support other team members, participate in design discussions, and collaborate with the team. Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system. As we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs . Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively. Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must. Requirements: Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well. Some experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way. Some experience with developing software that runs in the Cloud or some experience with systems engineering. Experience writing clean, robust, and performant software that is easily maintained by others. Bonus Points For: Experience writing low level code for databases, storage layers, or query engines. Experience working with Kubernetes. Been a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects). Exposure to microservices architecture and distributed systems, or a desire to learn. Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,500 to AUD 223,500.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has two sub-squads, Ingest and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across three major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They likely are engaged in a larger project with another engineer, as well as mixing in some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing? Take a very active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What are we looking for in you? You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a Squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Some experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem Nice to haves: Experience working with Kubernetes is highly desirable Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Exposure to microservices architecture and distributed systems, or a desire to learn Familiarity with the concept of infrastructure as code In the United States, the base compensation range for this role is USD 174,500 -  USD 209,000 . 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. This role is available for candidates located in the United States or Canada. The Opportunity: Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on Prometheus , Grafana Alloy , Mimir proxies , and OpenTelemetry. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability. Take an active role in influencing our roadmap and your own career objectives. Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers. Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope. Be a part of your team’s on-call rotations and take ownership of the services you’re running. Mentor and support other team members, participate in design discussions, and collaborate with the team. Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system. As we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs . Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively. Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must. Requirements: Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well. Some experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way. Some experience with developing software that runs in the Cloud or some experience with systems engineering. Experience writing clean, robust, and performant software that is easily maintained by others. Bonus Points For: Experience writing low level code for databases, storage layers, or query engines. Experience working with Kubernetes. Been a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects). Exposure to microservices architecture and distributed systems, or a desire to learn. Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code. Compensation & Rewards: In Australia, the Base compensation range for this role is CAD 164,500 to CAD 197,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has two sub-squads, Ingest and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across three major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They likely are engaged in a larger project with another engineer, as well as mixing in some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing? Take a very active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What are we looking for in you? You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a Squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Some experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem Nice to haves: Experience working with Kubernetes is highly desirable Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Exposure to microservices architecture and distributed systems, or a desire to learn Familiarity with the concept of infrastructure as code In the United States, the base compensation range for this role is USD 154,000 -  USD 185,000 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Argentina; Ukraine; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You’ll be working hands-on with Snowflake and dbt — designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders. This is a delivery-oriented role with real ownership. You’ll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions. WHAT YOU’LL DO - Design, develop, and optimize data models and transformation workflows using Snowflake and dbt. - Contribute to the design and implementation of scalable data architecture covering raw through semantic data layers. - Support modernization of existing Oracle-based ETL and reporting processes. - Investigate and address data performance, consistency, and reconciliation challenges. - Develop and maintain data processing, transformation, and automation solutions using Python. - Participate in solution design discussions and contribute to architectural decisions. - Support DevOps-related activities including deployment, configuration, and operational aspects of the data platform. - Take ownership of assigned technical components and deliverables within the team. - Participate actively in client-facing technical discussions and project meetings. REQUIRED SKILLS & EXPERIENCE - Strong hands-on experience with Snowflake — data transformation, modeling, and performance optimization. - Solid understanding of data modeling principles, data architecture, and scalable data solution design. - Practical experience with dbt for developing and maintaining data transformation workflows. - Proficiency in Python for data engineering, scripting, and automation. - Experience with ETL/ELT processes and modern data pipeline development. - Familiarity with DevOps practices and containerized environments including Kubernetes. - Strong analytical and troubleshooting skills around data quality, performance, and reconciliation. - Good communication skills — able to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams. - English proficiency sufficient for regular technical discussions with US-based teams. PREFERRED QUALIFICATIONS - Experience with Oracle databases, Oracle ETL, and legacy reporting environments. - Prior involvement in data platform modernization or migration from Oracle to Snowflake. - Experience with Power BI and semantic reporting models. - Snowflake professional certification. - Experience designing and optimizing analytical data models for enterprise reporting. - Experience working with distributed, cross-functional engineering teams. - Background in insurance, reinsurance, or financial services. - Availability for occasional business trips to St. Louis, USA — approximately once every three weeks for one to two days. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Ищем SRE-инженера в команду, которая занимается разработкой и поддержкой высоконагруженных продуктов для крупных международных компаний, преимущественно в сфере развлекательных онлайн-сервисов. - Оптимизировать доставку контента: от CDN до конечного пользователя.

-Разрабатывать computer vision и machine learning решения для архитектурных чертежей, технических документов, CAD и BIM-данных. -Строить пайплайны, объединяющие растровые изображения, векторную геометрию, структурированные инженерные данные, OCR и ML-модели.

Развитие классификатора данных для полей БД (Tabular ML). Развитие существующей ML-модели (RandomForest), которая выявляет ПДн в полях баз данных на основе метаданных и значений.

5+ лет с многоплощадочными корпоративными сетями, 2+ проекта аудита или обследования.

- Experience as a Full Stack QA Engineer for 3+ years. - Experience in functional, integration, API, and E2E testing across the full user journey: onboarding and consent, task queue, data capture and upload, review, earnings, and payouts.

-Ручное тестирование веб-сайтов, сервисов и интеграций. -Проверка API (Postman, Swagger).

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs $500M+ per year in ad spend and has grown 5× since March. The AI marketing engineer role involves owning the client's marketing targets and improving metrics by automating media buying. Задачи: — Onboard clients by connecting their full-funnel data and ad accounts, setting business context including unit economics, P&L, products, geos, funnels, and media buying playbook. — Adapt and build automation skills and rules from Plurio's catalog or create new ones as needed, backtesting on historical data before deployment. Rules are deterministic SQL with campaign logic and guardrails. — Explain agent decisions and methodology changes to clients' Heads of UA and CMOs, assist marketers in running the agent, and handle discussions about spend and KPIs. — Standardize successful approaches into reusable templates and methodologies for future clients. Требования: — Managed approximately $500K+/month in ad spend hands-on on one or multiple channels (Meta, Google, TikTok). — Deep understanding of buying mechanics: account structure, optimization events, creative testing thresholds, scaling, burnout, budget allocation, attribution windows. — AI-native with experience automating parts of buying via rules, scripts, or skills in Cursor, Claude, or platform APIs. — Systems thinking: ability to logically chain goals, plan roadmaps, and clearly explain processes. — Client-facing experience communicating with Heads of UA, defending ideas with data and experiments, and maintaining relationships. — Ability to convert proven results into templates and methodologies for scaling. — Strong English communication skills. Условия: — Competitive base salary plus performance bonus based on client results. — Two grades hiring: Middle ($72,000–$96,000/year) and Senior ($102,000–$126,000/year) on-target earnings, gross. — Remote work worldwide within timezones up to UTC+5. — Provided laptop, software, and AI tools including Cursor, Claude, Codex, and shared AI infrastructure. — 50% coverage of relevant educational costs. — Vacation: two weeks twice a year plus holidays. — Employment via Deel contract. Процесс отклика: — Apply via the "Apply for this role" button on the linked page with social media and contacts. — Recruiter contacts within two days. — Calls with leadership and CPO including background, methodology, compensation, math, and AI mechanics. — Presentation of a built project. — Offer.

Full-Stack разработчик с опытом более 4 лет в создании и запуске цифровых продуктов под ключ — от проектирования архитектуры и UI/UX до backend-разработки, деплоя, оптимизации производительности и SEO.

Location: Warsaw, Poland On behalf of FinTech Client #3 , SD Solutions is looking for a talented Backend Engineer This position offers a unique opportunity to work at the intersection of technology, compliance, and data. As a Senior BE Engineer , you will take ownership of ensuring the integrity of critical processes - such as Compliance Control, Due Diligence, Legal Automation, and more. You will be responsible for the full lifecycle of these systems, driving both architectural modernization and day-to-day stability. Your work will range from designing new automated capabilities to rigorously refactoring existing flows, deep-diving into complex logic to optimize alerts, and ensuring our production environment remains robust at scale. We are looking for someone who enjoys diversity, wants to understand the "business behind the code," and is eager to replace manual operations with sophisticated, event-driven automation. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Design & Build : Lead the design and implementation of backend systems and scalable microservices that ensure regulatory compliance and legal process automation (e.g., IVV, Due Diligence). Data Integrity & Scale : Work with large datasets and oversee complex data pipelines, ensuring absolute data integrity across critical financial systems. Drive Modernization : Lead engineering modernization efforts, including significant refactoring of legacy code and migration to a modern, distributed architecture to improve system resilience. Automation & Integration : Replace manual operations with event-driven automation (Kafka) and maintain robust integrations with third-party providers (Verdata, Salesforce, and more) to support business scale. Cross-Functional Collaboration : Collaborate closely with Legal, Compliance, and engineering teams to translate complex regulatory requirements into accurate, high-quality technical solutions. Requirements: 5+ years of experience in Software Development (Backend focused). Strong proficiency in Java or Kotlin in production environments. System Design : Experience in building scalable APIs, working with microservices, and understanding distributed systems. Experience with AWS and cloud-based infrastructure. Ownership Mindset : We don’t just resolve tickets; we look at the bigger picture, understand the business logic, and take responsibility for the quality of our delivery. Excellent problem-solving and system design skills. B.Sc. in Computer Science or equivalent practical experience. Fluent in English, both written and spoken. Advantages: Strong proficiency in SQL and experience working with relational databases . Python. Experience with Snowflake, Spark, or DBT . Experience with Event-Driven Architecture and Kafka . Background in Fintech , Banking , or regulatory environments . Experience with AI development tools like Cursor and Claude Code . About the company: A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.