Вакансии

- 5+ лет опыта в QA / тестировании ПО. - Опыт написания автотестов на Go или Python.

Проведение аудита текущей ИТ-инфраструктуры предприятия; Сбор и формализация требований к инфраструктуре;

Мы ищем DevOps-инженера для администрирования Linux-серверов, кластера Kubernetes, CI/CD-пайплайнов и систем мониторинга….

Location: Kyiv, Ukraine We are looking for a Junior System Administrator to support workplace IT operations, user requests, and core infrastructure maintenance in the IT Services team. The candidate must be based in Kyiv. The IT Services project focuses on reliable day to day support for workplace technology, office infrastructure, and user access management. You will help maintain stable operations across workstations, servers, and network equipment while contributing to secure and well documented IT processes. Provide technical assistance, incident resolution, and request fulfillment for local and remote users Handle device deployment, OS imaging, enrollment, peripheral setup, and secure hardware decommissioning Oversee user account provisioning, role based access, and Active Directory and identity system maintenance Monitor, update, and maintain office servers, workstations, and local network equipment Conduct routine system health checks, software deployments, security patching, and post incident root cause analysis Maintain up to date IT documentation, inventory records, and adherence to corporate security policies 1 plus years of experience supporting an IT workstation fleet of 20 plus devices including hardware diagnostics and repair Strong troubleshooting skills across Windows OS Basic knowledge of macOS and Linux Experience administering Windows Server 2019, 2022, or 2025 Experience with Active Directory and GPO Solid grasp of networking fundamentals including TCP IP, DNS, DHCP, VLAN, VPN, and NAT Pre Intermediate English for written documentation and basic workplace communication Hands on experience with VMware ESXi, Hyper V, or Proxmox Familiarity with PowerShell for routine administrative tasks and system automation Experience configuring Windows File Server Resource Manager, quotas, NTFS permissions, and share level access control Exposure to Zabbix, Grafana, or ELK and Elastic Stack Intermediate English or higher for cross team collaboration with international colleagues

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands on Middle MLE Infrastructure Engineer to strengthen a shared Data and AI platform. You will focus on execution across CI/CD standards, cloud resource management, identity and access security, observability, and reliable deployments that support other teams. The Shared Services Platform organization builds and operates the core environment for Data and AI products. You will work on a platform that standardizes CI/CD, security, observability, and cloud resource management so product squads can deliver on reliable infrastructure. Define and maintain homogeneous CI CD standards and pipelines for data and AI across teams. Manage cloud resources, capacity, and cost through provisioning, autoscaling, and optimization. Own identity and access management and centralized credential governance. Automate security policies through infrastructure as code and SecOps practices. Run vulnerability scanning and incident response playbooks. Build observability through metrics, dashboards, and proactive alerting for platform and products. Ensure reliable versioning and deployment standards across the platform. Act as a platform enabler for product squads on environment and product infrastructure. Proven experience as a Platform Engineer, DevOps Engineer, or MLOps Infrastructure Engineer. Experience with infrastructure as code using Terraform and configuration automation. Experience with Docker, Kubernetes, and autoscaling. Experience with CI CD tooling such as GitHub Actions and GitLab CI. Experience with Git workflows including GitFlow. Experience with Google Cloud Platform resource management, GCP IAM, billing, and cost control. Experience with observability tools such as Prometheus, Grafana, Datadog, or similar monitoring solutions. Experience with IAM, vulnerability scanning, data masking, and policy management. Ability to communicate effectively with technical and non technical stakeholders. Experience working in Agile environments. Fluency in Spanish. Exposure to MLOps platforms, model registry, and model serving infrastructure. Experience with FastAPI or Flask. Familiarity with BigQuery, pipelines, and lakehouse or warehouse environments. Familiarity with GenAI tooling such as LangChain and Agents.

Location: Kazakhstan; Azerbaijan; Uzbekistan; Moldova; Tajikistan; Armenia Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a On-Call Infrastructure Engineer (DevOps) to join our team and provide exceptional customer support. About the client Our client develops software products across various business domains, including education, healthcare, business management, sports, and marketing. Engagement details This engagement involves occasional support, with only a few hours of active work expected per month in most cases. It can suit an engineer who already has a primary engagement and can combine it with on-call availability. Availability during an agreed coverage window of approximately 12 hours per day, aligned with the CET time zone Monitor email and alerts throughout the coverage window Acknowledge incoming incidents or requests within 30 minutes and confirm that they have been taken into work Begin troubleshooting and resolution promptly Only time spent actively working on incidents or requests is paid; standby time is unpaid Responsibilities Investigate and resolve production infrastructure incidents Troubleshoot AWS, Linux, Docker, and MySQL environments Diagnose and resolve MySQL replication issues Restore service availability and document resolution steps Perform root cause analysis where required Responsibilities Investigate and resolve production infrastructure incidents Troubleshoot AWS, Linux, Docker, and MySQL environments Diagnose and resolve MySQL replication issues Restore service availability and document resolution steps Perform root cause analysis where required Requirements AWS EC2 administration CloudWatch Linux administration, particularly Ubuntu Docker and Docker Compose MySQL administration MySQL replication troubleshooting Production incident response On-call support experience Application Load Balancers CloudFront Strong operational troubleshooting skills Strongly Preferred Terraform Packer Percona PMM PagerDuty Site24x7 Backup and recovery operations Root Cause Analysis (RCA) AWS infrastructure troubleshooting Nice to Have Java application troubleshooting PHP application troubleshooting Prometheus Grafana Datadog New Relic High-availability MySQL design Observability architecture

- Разработка новых микросервисов на Go. - Участие в проектировании архитектуры новых сервисов.

Location: New York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Location: Must reside in the Eastern Time Zone. WHAT YOU'LL DO Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world. Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.   THE OPPORTUNITY - Improve build and release pipelines in GitHub Actions: caching, parallelism, pinned toolchains, and required tests and scans before production - Manage AWS infrastructure as code with Terraform, and run services as containers on Nomad - Build deployment tooling with health checks and automated rollback, and make deploys safe around market sessions - Add metrics and alerts to the services you build, so you can see whether a deploy worked - Monitor systems, respond to alerts, and support daily operations such as settlement cycles - Fix the cause of production issues and write down what you learned - Build, test, and ship well-reviewed features and fixes in our services across the exchange, clearinghouse, and brokerage. Most of the code is Haskell - Understand the order, trade, clearing, and settlement flows end to end   WHAT YOU BRING - Hands-on experience with CI/CD pipelines, such as GitHub Actions or GitLab CI - Production experience with AWS and Docker, and infrastructure as code with Terraform - Strong Linux and scripting skills (Bash, Python, or similar) - 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++ - Solid computer science fundamentals, including distributed systems: failure modes, retries and idempotency, consistency, and how to observe them across services - Willingness to take part in on-call and operational shifts - Care and rigor with code that moves money - Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it - A habit of asking why before changing something - Sound judgment under pressure, with a calm and methodical approach when production is live - Collaboration across engineering, operations, risk, and compliance, with a habit of documenting   NICE TO HAVES - Financial knowledge or experience in trading, markets, or financial services - Bachelor's degree in computer science or a related field, or equivalent experience - Experience with Nomad or Kubernetes - Experience with Nix, Ansible, Vault, or Prometheus, Grafana, and Loki - Haskell experience Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

-разрабатывать и развивать интеграционные решения на микросервисной платформе с использованием Java 25, Spring Boot 4 и Kubernetes. -реализовывать интеграционные взаимодействия между сервисами и системами с использованием Kafka и других технологий обмена сообщениями.

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In the UK, the base compensation range for this role is GBP 74,342 - 89,210. 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: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 640,484 - SEK 768,580. 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: 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Spain, the base compensation range for this role is EUR 67,238 - EUR 80,686. 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: 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 84,048 - EUR 100,858. 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: 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Germany, the base compensation range for this role is EUR 78,336 - EUR 94,003. 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: Москва, гибрид или удалённая работа, RU; Россия О команде Мы — команда Automated Moderation в юните «Автомодерация» направления Trust & Safety. Развиваем инструменты доверия и безопасности на платформе: помогаем проверять контент и снижать риск появления материалов, которые нарушают правила Авито. Мы разрабатываем и поддерживаем ML-систему проверки объявлений: анализируем текст, фото и параметры, автоматизируем проверки и снижаем нагрузку на ручную модерацию. Основной проект — развитие LLM-модерации, около 80% рабочего времени. Система уже работает в продакшене: классические модели находят потенциальные нарушения, а LLM проверяют их по правилам Авито. Мы улучшаем промпты, дообучаем LLM- и VLM-модели, автоматизируем эксперименты с помощью AI-агентов. Ищем DS-инженера полного цикла, который будет вести решения от постановки задачи и работы с данными до инференса, мониторинга и оценки влияния на продукт. Помимо основного проекта, будут задачи автомодерации с текстом, изображениями и видео. Какие задачи вас ждут: развивать LLM-проверки: переводить регламенты модерации в инструкции для моделей, разбирать ошибки и улучшать качество решений; строить воспроизводимые эксперименты: сравнивать модели, промпты, состав входных данных и пороги принятия решений; применять и развивать автоматическую оптимизацию промптов, дообучать модели и LoRA-адаптеры там, где это оправдано качеством и стоимостью; готовить датасеты: организовывать сбор и разметку, проверять качество данных и репрезентативность выборок; встраивать решения в пайплайны автомодерации и обеспечивать стабильную работу в продакшене: учитывать качество, задержки, вычислительную стоимость и риски ошибок; настраивать мониторинг качества и деградаций, алерты и регулярные итерации улучшений; оценивать влияние решений на продуктовые и бизнес-метрики. Мы ждём, что вы: умеете проводить полный цикл ML-разработки: от работы с данными и моделью до продакшена, мониторинга и проверки влияния с помощью A/B-тестов или эквивалентных подходов; имеете большой опыт в NLP или значимый опыт вывода и сопровождения моделей в продакшене; работали с LLM в прикладных задачах и умеете проверять качество решений на данных; дообучали LLM и VLM, работали с LoRA, PEFT и оптимизацией инференса, например с vLLM; уверенно владеете Python и DS-стеком: NumPy, pandas, scikit-learn, CatBoost или аналогами, умеете работать с DL-фреймворками, например PyTorch; понимаете, как выбирать методы под задачу и аргументировать компромиссы между качеством, стоимостью, скоростью и рисками; умеете оценивать качество моделей при запуске и отслеживать его изменение во времени: дрейф, деградации, проблемы данных; пишете SQL-запросы на уровне, достаточном для анализа данных и диагностики качества; читаете англоязычную техническую литературу. Будет здорово, если вы: имеете опыт в модерации, Trust & Safety или антифроде; разрабатывали инструменты для AI-агентов, MCP-серверы или автоматизировали с их помощью ML-процессы; знакомы с практиками MLOps: Kubeflow, K8s, feature store, MLflow; настраивали мониторинг и алерты в Grafana, участвовали в A/B-тестах и канареечных релизах; использовали LLM в прикладных задачах; работали с CV или мультимодальными задачами, например VLM. Работа у нас — это: масштабный инженерный процесс, где вы можете участвовать во всех этапах работы над ML-решением; интересные развивающие задачи и влияние на продуктовые и бизнес-метрики; культура взаимопомощи и обмена опытом; прозрачный карьерный трек и инструменты для роста: семинары, менторство, митапы; расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.

Location: Санкт-Петербург SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов. Мы создаем собственные сборки платформ в рамках вендорозамещения и активно сотрудничаем со всеми блоками Сбера для решения их бизнес-задач: наши пользователи сделали уже свыше 6500 витрин. SberData внедряет лучшие практики работы с данными, снижает стоимость хранения данных, повышает скорость получения данных, внедряет AI-технологии. Нашими решениями пользуются свыше 30 тыс человек. Технологический стек: Python, pydantic, FastMCP; RAG/поиск: ChromaDB, эмбеддинги, rank-bm25; наблюдаемость: OpenSearch (DSL), Grafana API (PromQL); платформа как объект управления: Kafka, Flink, Spark, HDFS, OpenAPI-спеки; инфраструктура: Git (Bitbucket), Jenkins, Nexus, Vault, k8s. Обязанности ### Задачи * разработка MCP-инструментов: Python/FastMCP * развитие RAG-контура базы знаний: индексация, гибридный поиск (dense-эмбеддинги + BM25), оценка качества, reranker * аналитика данных платформы * код-ревью, документирование решений, развитие тестов (pytest). Требования ### Требования * высшее образование: техническое/математическое * опыт разработки на Python не менее 1,5 лет * базовое понимание области data engineering: как устроены ETL/репликация данных, потоковые пайплайны * SQL — уверенный уровень * Git, CI/CD (Jenkins или аналог) * Linux/bash * английский — чтение технической документации. ### Будет плюсом * опыт построения RAG: векторные БД, эмбеддинги, чанкинг, оценка качества поиска (hit rate/recall/MRR) * навыки работы с генеративными AI-моделями, опыт создания AI-агентов (MCP, LangChain) * знакомство с Kafka, Flink/Spark, Hadoop/HDFS * опыт интеграций по REST/OpenAPI * опыт Java/Scala. Условия ### **Мы предлагаем** * комфортный современный офис в г. Санкт-Петербург ул Уральская, 1литерВ * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Intellias Meet your recruiter Sara Gomes sara.gomes@intellias.com https://www.linkedin.com... Vacancy details ITSM Support Engineer Middle Bulgaria, Poland, Portugal Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join our team and immerse yourself in the dynamic world of innovative global companies, including Fortune 500 leaders across diverse industries such as Mobility, Retail, Financial Services & Insurance (FS&I), Travel & Hospitality, Telecom & Media, and more. As a pivotal member of our cross-functional Support Team, you will play a crucial role in driving operational excellence and elevating the customer experience for users of cutting-edge technology solutions developed for—and in collaboration with—Intellias’s esteemed clients. This is your chance to make a significant impact in a role that promises not just challenges but also rewarding experiences in a vibrant, supportive environment. What you will do Monitor platforms, applications, integrations, infrastructure, and connectivity services across assigned projects. Validate monitoring alerts and determine whether they represent actionable incidents, known issues, or false positives. Respond to incidents and service requests through agreed support channels and within defined SLA targets. Investigate and resolve incidents, including real-time issues, through structured troubleshooting and log analysis. Investigate application, platform, cloud, vehicle-to-cloud, SIM/eSIM, and mobile-connectivity issues. Analyse logs and monitoring data using Kibana, Grafana, Azure Monitor, or similar observability tools. Perform structured troubleshooting across application, networking, database, cloud, and integration layers, including root cause analysis and validation of resolution approaches. Use basic SQL queries to validate data, investigate incidents, and confirm system behaviour. Resolve complex technical issues through research, issue reproduction, and collaboration with internal support and engineering teams. Apply approved runbooks, knowledge articles, recovery procedures, and stable workarounds. Take end-to-end ownership of assigned incidents, including cases escalated to internal resolver groups or external suppliers. Coordinate technical escalations with engineering teams, telecom providers, cloud providers, external vendors, and other third parties. Support P1/P2 and Major Incident response, including incident bridges, escalation management, stakeholder communication, action tracking, and service-restoration coordination. Act as Incident Manager during Major Incidents when required. Provide clear and timely incident updates to customers, service managers, and technical stakeholders. Document investigation steps, findings, dependencies, workarounds, resolutions, and next actions in Jira Service Management. Prepare or contribute to root cause analyses, postmortems, post-incident reports, and corrective and preventive action plans. Maintain and improve knowledge articles, runbooks, Known Error records, and troubleshooting guides in Confluence. Monitor incident trends, gather and report support metrics, and track resolution progress. Identify recurring incidents, monitoring gaps, alert noise, and opportunities for service improvement. Execute database and system changes in production environments in line with change management processes. Support system and database performance optimization, high availability and disaster recovery (HA/DR) activities, security hardening, patching, upgrades, and migrations. Provide proactive recommendations for system optimization, cost efficiency, and improvements to support processes and operational efficiency. Ensure stability, reliability, and business continuity of supported systems. Follow security, data-protection, access-control, and change-management requirements of each project. Participate in shift handovers and ensure that all active work across projects is transferred with sufficient technical and operational context. Participate in shift-based 24/7/365 support model. Act as a reliable and customer-focused point of contact, clearly communicating progress, actions, and resolutions. What you need for this The role focuses on monitoring, incident investigation, log analysis, troubleshooting, service restoration, and coordination with internal engineering teams, telecom providers, cloud providers, and other external suppliers across several client projects as part of a shared 24/7 support team. The engineer will take ownership of technical incidents during assigned support hours, including high-priority P1/P2 cases and low priority P3/P4/P5, and ensure that investigation progress, actions, escalations, and resolutions are clearly documented and communicated in line with each project’s SLAs and processes. 3+ years in technical support, application support, production support, IT operations, or a similar role. Excellent communication skills in English (B2 or higher – written and spoken). Strong experience with log analysis, technical troubleshooting, and incident investigation. Hands-on experience with monitoring, logging and observability tools (e.g., Kibana/ELK, Grafana, Prometheus, Azure Monitor / Log Analytics or similar). Basic knowledge of server hardware, software, and operating systems. Solid understanding of networking fundamentals, including: TCP/IP; DNS; HTTP/HTTPS; VPN; routing; firewalls; mobile and internet connectivity concepts. Ability to write and execute basic SQL queries for troubleshooting and data validation. Theoretical knowledge of Microsoft Azure administration : Azure Virtual Machines, Storage, Networking, Azure Active Directory (Entra ID), Monitoring tools (Azure Monitor, Log Analytics). Familiarity with AWS, Google Cloud Platform. Understanding of cloud architecture and troubleshooting methodologies. Proficiency in: Azure CLI and Shell scripting (Bash / PowerShell). Ability to automate operational tasks and troubleshooting steps. Practical experience with Jira Service Management and Confluence, or comparable ITSM and knowledge-management platforms (Zendesk, Freshdesk, ServiceNow, etc.). Proven ability to investigate complex technical issues across multiple systems and dependencies. Experience working with Incident Management, Major Incident Management, Problem Management, Change Management, and Service Request processes. Understanding of ITIL-based support practices and SLA-driven service delivery. Ability to coordinate troubleshooting activities with internal engineering teams and external suppliers. Strong ownership mindset and ability to manage incidents from initial investigation through restoration and closure. Ability to prioritize multiple incidents and tasks across several projects in a dynamic operational environment. Strong analytical, problem-solving, and time management skills. Clear and professional written and verbal communication skills; strong customer service orientation. Ability to work independently while collaborating effectively with distributed technical teams. Ability to remain calm and structured during critical incidents and customer escalations. An enthusiastic attitude towards learning new technologies, domains, and client-specific processes. Willingness to work in shift-based support model (24/7/365 Support Model). Strong attention to documentation quality, data security, and operational compliance. Good to Have: Experience in a 24/7 or shift-based production support environment. Experience supporting multiple clients or projects in a shared / managed services team. Azure Administration Certification (Microsoft Certified: Azure Administrator Associate (Exam AZ-104)). ITIL Foundation or another relevant service-management certification. Practical experience with ITIL processes, ability to explain lifecycle of each issue type. Practical experience with root cause analysis and post-incident reviews. Knowledge of dynamic alerting and anomaly detection in monitoring tools. Experience in the telecommunications industry. Experience in the automotive, connected-vehicle, telematics, or mobility domain. Understanding of mobile network concepts, including SIM/eSIM lifecycle, roaming, mobile-data sessions, and connectivity troubleshooting. Experience working with external telecom providers, software suppliers, or cloud vendors. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Azure Connectivity EnglishB2 Monitoring PowerShell SQL SupportSpecialist