Вакансии

Задачи: — Разработка и внедрение стратегии тестирования для сложной микросервисной архитектуры. — Организация и контроль качества всех видов тестирования: интеграционного, регрессионного, системного, приемочного и smoke-тестирования. — Лидерство QA-направления в команде: планирование тестирования, распределение задач, контроль качества deliverables. — Глубокое тестирование REST API (Postman, Swagger), включая сложную валидацию данных через SQL-запросы (PostgreSQL). — Анализ сетевого трафика (Charles/Fiddler) и мониторинга (Prometheus/Grafana) для быстрой локализации дефектов. — Аудит и ревью требований, технической документации на противоречия, пробелы и тестопригодность. — Создание и поддержание тестовой документации (Test Plan, Check-list’ы, отчеты) в Confluence. — Менторство и развитие QA-инженеров, проведение code review автотестов и тест-кейсов. — Взаимодействие с разработкой, Product Owner и другими стейкхолдерами по вопросам качества продукта. — Постоянное улучшение QA-процессов, внедрение лучших практик и метрик качества. — Участие в оценке рисков и планировании спринтов/релизов. Требования: — Опыт работы в QA от 5 лет, из них минимум 2 года на позиции Lead QA / Senior QA с опытом лидерства. — Опыт тестирования сложных распределённых микросервисных систем. — Отличное владение техниками тест-дизайна и risk-based testing. — Продвинутое владение SQL (сложные JOIN, оконные функции, агрегации, оптимизация запросов). — Глубокие практические навыки работы с DevTools, Postman, Swagger. — Опыт построения и поддержки тестовой документации (Test Strategy, Test Plans). — Сильные навыки менторства и развития junior/middle QA-инженеров. — Глубокое понимание SDLC, Agile/Scrum/Kanban, CI/CD. — Развитые soft skills: лидерство, системное мышление, проактивность, навыки коммуникации и влияния. Будет большим плюсом: — Опыт нагрузочного тестирования (JMeter или аналоги). — Работа с ELK Stack, Grafana или другими системами логирования. — Опыт внедрения тестовой автоматизации на проекте. — Знание принципов Performance и Security testing. Условия: — Формат работы: удаленно — Часовой пояс: MSK

Location: Dublin, Dublin, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €77.028 — €96.285 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Position Location: Austin, TX | New York, NY | San Francisco, CA | Lisbon, Portugal About the Role Join the Workers Deploy & Config team as a Principal Engineer, the most senior technical role on the team behind Cloudflare’s serverless edge developer platform. You’ll build the critical large-scale systems that let developers deploy, configure, and manage Workers globally, powering everything from simple static sites to full-stack applications serving millions of users. This team sits at the foundation of Cloudflare’s developer platform, including Pages and R2. The work spans distributed systems, high-traffic APIs, performance, reliability, and developer experience at global scale. Responsibilities Lead the architectural evolution of the Workers control plane and help define its multi-year strategy. Identify high-leverage technical challenges and turn ambiguous problems into actionable engineering paths. Re-engineer core services to keep ahead of exponential traffic growth. Architect foundational primitives that unlock new product capabilities and categories. Own the stability and efficiency of a core customer-facing system. Establish rigorous benchmarks for API responsiveness, availability, and reliability. Participate in on-call to help maintain global platform availability. Collaborate with Product and engineering leadership to shape future roadmaps. Serve as the primary technical representative for Workers Deploy & Config in major design forums. Mentor mid-level and senior engineers and raise overall engineering standards. Investigate and apply emerging technologies to improve the developer platform. Desirable Skills, Knowledge & Experience Deep experience using Go in production environments. Experience with JavaScript and TypeScript. Experience with Kubernetes and metrics/observability tooling such as Prometheus and Grafana, or similar. Proven history of architecting, expanding, and managing massive distributed infrastructures in live environments. Track record of owning architecture across multiple teams or systems from concept through global release. Demonstrated organizational influence through standards-setting, design leadership, cross-team collaboration, and mentoring senior engineers. Strong ability to design and evolve RESTful APIs with a focus on developer experience. Track record of increasing team leverage with AI, including evaluating and introducing AI-assisted development and agentic workflows responsibly. Bonus Points Experience with C++ or Rust. Experience working on a control plane or data plane. Experience using Cloudflare Workers or Pages. Experience working in frontend frameworks such as React. Experience managing interns or mentoring junior engineers. Product mindset and comfort talking to customers and partners. Familiarity with GraphQL Familiarity with RPC Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 ● For Portugal based hires: Estimated annual salary is between €79,000 - €109,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems. We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why CloudLinux? You will work on real production infrastructure used across CloudLinux and TuxCare products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. MongoDB replica sets and Percona Backup for MongoDB. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.   What You Will Do   Depending on your skills and field of expertise, you will be involved in key components of our technology, including:   Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. - Ensure high performance and reliability across our distributed systems. - Contribute to systems powering inference, billing, AI tooling, observability, and developer experience. System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products. - Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality - Write clean, maintainable and well-documented code. - Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users. - Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration. - Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.   What We're Looking For   • Degree in Computer Science, Software Engineering, or equivalent practical experience. • Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session. • Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. • Strong problem-solving abilities and attention to detail. • Ownership mindset capable of shipping end-to-end features with minimal oversight. • Excellent communication skills and collaborative attitude. • Team-oriented, low-ego mindset and curiosity for learning.   Now, it would be ideal if you had experience with: • Full-stack exposure • Working closely with an API & developer ecosystem • Deploying software to a diverse set of environments (cloud, on-premises, etc.) • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...) • AI/ML engineering • Observability and monitoring tools (Prometheus, Grafana, Datadog…). • UX and product-centric mindset.   Hiring Process   • Introduction call - 30 min • Live-coding interview - 45 min • System Design interview - 45 min • Hiring Manager interview - 30 min • Deep Dive Interview (only for leads & staff engineers) - 60 min • Culture-fit discussion - 30 min • Reference checks   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Обязанности: — Объединить наблюдаемость и эксплуатацию для легаси и нового стека в единый стандарт; — Построить рабочий алертинг с приоритизацией и эскалациями, чтобы снизить шум и ускорить реакцию; — Запустить стабильный процесс инцидент менеджмента: triage, роли, коммуникации, пост мортем, контроль действий после аварий; — Поставить дежурства 24/7 с понятной ротацией и runbooks; — Обеспечить безопасную поэтапную миграцию к GitOps без просадки SLA. Требования: — Опыт в роли Senior SRE/DevOps; — Опыт работы в продакшн средах с гибридом Bare metal и Kubernetes; — Умение строить observability: метрики, логи, SLI/SLO, алертинг по сервисным сигналам; — Опыт ведения инцидентов как Incident Commander и проведения RCA; — Опыт настройки дежурств, runbooks и операционных процессов; — Сильные Linux и сетевые навыки, понимание edge/DNS/TLS/LB; — Умение работать кросс-функционально и доводить изменения до эксплуатационного результата. Требования по стеку: Linux, Kubernetes, Helm, Prometheus/VictoriaMetrics, Grafana, CI/CD, IaC, GitOps-практики (ArgoCD/Flux как целевая модель), SRE-методики: SLI/SLO, error budgets, incident response, postmortem culture. Будет плюсом: — Опыт с игровыми или realtime системами; — Опыт эксплуатации PostgreSQL и RabbitMQ, включая backup/restore drills; — Опыт с Cloudflare, DNS/CDN и multi-region routing; — Автоматизация SRE-задач на Python/Go/Bash; — Опыт chaos/game day практик. Условия: — Удаленная работа из любого гео в ±3 часах от МСК или гибрид из офиса в Казани; — Открыты к разным форматам оформления; — Гибкое начало рабочего дня, 5 дополнительных выходных в год; — Баланс между перфомансом и здоровым ворк-лайф балансом; — Возможности для развития, инициативы и профессионального роста.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads. - Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters. - Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis. - Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform. - Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments. - Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Work with the security team to ensure infrastructure adheres to best practices and compliance requirements. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.

Задачи: — Сотрудничать в планировании, проектировании, разработке, развертывании и улучшении продуктов интеграции данных и хранилища данных (DWH). — Разрабатывать, создавать и поддерживать тестовые наборы для проверки корректности и точности процессов интеграции данных и ETL. — Внедрять AI-интеграцию (агенты, большие языковые модели) в процессы QA, включая мониторинг, тестирование, обеспечение качества данных и автоматизированный код-ревью. — Совместно с командой определять и описывать политики, стандарты и руководства по данным для других команд. — Участвовать в проектировании и реализации процессов сверки, мониторинга, оповещений и других процессов обеспечения качества данных. — Исследовать проблемы качества данных и работать над их улучшением. — Обеспечивать качество решений с данными, поддерживающих бизнес-требования. — Помогать в определении и внедрении лучших практик в команде для обеспечения качества решений с данными. — Совместно с командой устранять и решать возникающие проблемы. — Анализировать и тестировать новые функции перед их запуском. — Участвовать в приёмочном тестировании пользователями. Требования: — Опыт работы Quality Assurance Engineer не менее 4 лет. — Опыт использования AI-инструментов и агентов (Cursor, Claude Code, Codex) для повышения эффективности QA и оркестрации процессов. — Экспертные знания SQL, особенно ClickHouse. — Опыт автоматизации тестирования на Python с использованием pytest. — Опыт работы с продуктами потоковой обработки данных (Kafka Connect, Flink). — Опыт тестирования потоковых систем будет плюсом. — Опыт работы с Docker и Kubernetes будет плюсом. — Знания Grafana, PagerDuty, Terraform будут плюсом. — Понимание моделирования данных, хранилищ данных, ETL и техник интеграции данных. — Опыт влияния на разработчиков в вопросах лучших практик. — Отличные аналитические и проблемно-решающие навыки. — Ориентация на результат, инициативность и ответственность. — Отличные устные и письменные навыки английского языка (уровень не ниже upper-intermediate). — Русский язык на уровне upper-intermediate или выше — опционально. Условия: — Конкурентная зарплата и ежегодный бонус по результатам работы. — Полная поддержка релокации для кандидата и семьи (перелёты, жильё, визы, юридическая помощь). — Медицинская страховка топ-уровня с покрытием для всей семьи (медицинская, стоматология, зрение, психическое здоровье), а также страхование жизни. — Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков. — Оплата образования (школа, детский сад). — 21 рабочий день отпуска, плюс официальные праздники, оплачиваемые больничные, декретные и отпуск по уходу за ребёнком. — Программа признания сотрудников: брендированные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий. — Командные поездки и корпоративные мероприятия. — Программа акций компании. — Корпоративный автомобиль MINI Cooper Countryman и личная парковка. — Бесплатные спортивные клубы, доступ в спортзал Sanctum Club, водные мотоциклы. — Доступ к корпоративному врачу. — Эксклюзивные скидки в кафе, спортзалах и местных сервисах. — Налоговые льготы для экспатов: до 50% освобождения от подоходного налога. — Поддержка в процессе натурализации для релокантов. Дополнительно: — Работа в международной команде с английским как основным языком. — Вакансия в офисе в Лимассоле, Кипр. — Процесс найма: вводный звонок с рекрутером, проверка английского (если нужно), техническое интервью с живым кодированием, поведенческое интервью.

Задачи: - Разработка и поддержка backend на Java 21 / Spring Boot, AI/ML-сервисов на Python / FastAPI - Проектирование архитектуры: модульный монолит / микросервисы, event-driven (Kafka / RabbitMQ) - Внедрение AI/ML компонентов: LLM, ИИ-агенты, RAG, self-hosted инференс (vLLM) - Работа с данными: PostgreSQL, pgvector, Redis, графовые БД (Neo4j / Amazon Neptune) - Разработка и интеграция API: REST, API Gateway, медстандарты FHIR / HL7, GRPC - Управление инфраструктурой и DevOps: AWS, Docker, Kubernetes, GitLab, Terraform - Обеспечение наблюдаемости: мониторинг и логирование (Prometheus, Grafana, CloudWatch) - Обеспечение безопасности и авторизации: OAuth2 / OIDC, управление секретами, шифрование данных по стандартам HIPAA / SOC 2 - Сильный системный дизайн сервисов, API, баз данных и облака (AWS) - Активное участие в платформенной части, включая кодирование - Понимание архитектуры AI/LLM и интеграция ИИ-агентов и инференса - Самостоятельность и ответственность в условиях стартапа - Английский язык для чтения документации и общения с партнёрами - Высшее образование в IT, системном анализе, прикладной математике или инженерии Будет плюсом: - Опыт архитектуры AI/LLM-систем (агенты, RAG, self-hosted инференс / vLLM) - Знания распределённых систем, опыт с графовыми БД - Опыт работы в стартапах или роль founding / lead engineer - Понимание безопасности и соответствия стандартам HIPAA / SOC 2 или аналогам Условия: - Официальное трудоустройство по ТК РК - Работа из офиса в Астане, после 7–8 месяцев возможен гибрид или удалёнка - Зарплата $4000–$5000 + опционы / доля в компании (обсуждается)

Location: Malta The Wow As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems. This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles. Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. A taster of what you will be involved with: Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes. Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures. Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness. Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users. Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives. Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment. Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration. You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency. What we are looking for Hands on experience with most of the following technologies: AWS Kubernetes Helm Ansible Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development. Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments. Strong understanding of distributed systems architecture, networking concepts, and security principles. Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability. Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools. Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management. Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments. This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. Qualifications 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance Kubernetes certification (CKA or CKS) or equivalent depth Experience improving rollout safety and autoscaling behavior for Kubernetes workloads Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems OpenTelemetry instrumentation experience at scale is preferred Benefits The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Malta The Wow We are looking for a skilled DevOps Engineer to help build, maintain, and optimize the infrastructure powering our world-class gaming products. In this role, you will design and implement scalable, secure, and reliable infrastructure solutions while driving DevOps best practices across the organization. You will play a key role in automating deployments, improving system reliability, and collaborating with cross-functional teams to ensure seamless delivery of our products. Key Responsibilities Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments. Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments. Develop, enhance, and maintain monitoring, logging, and alerting systems to ensure high availability and rapid incident response. Collaborate with Engineering, Product, QA, and other stakeholders to support infrastructure needs and improve operational efficiency. Automate repetitive processes to improve deployment speed, consistency, and reliability. Troubleshoot infrastructure, deployment, and application issues while driving continuous improvements. Implement and promote DevOps best practices, including infrastructure as code, automation, and security. Support production environments, ensuring system stability, performance, and scalability. Requirements Proven experience as a DevOps Engineer or in a similar infrastructure-focused role. Hands-on experience with CI/CD tools and deployment automation. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Strong knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with infrastructure as code tools such as Terraform, CloudFormation, or Ansible. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK, Datadog, or similar). Good understanding of Linux systems, networking, and scripting (Bash, Python, or similar). Strong problem-solving skills with the ability to work in a fast-paced, collaborative environment. Excellent communication skills and the ability to work effectively across multiple teams. Nice to Have Experience within the online gaming or iGaming industry. Knowledge of security best practices and DevSecOps principles. Experience managing high-availability, distributed systems. Familiarity with GitOps workflows and modern cloud-native architectures. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Задачи: — Разработка и развитие AI-платформы для healthtech-продукта на рынке США — Проектирование архитектуры продукта: модульный монолит / микросервисы, event-driven архитектура — Работа с Go как основным backend-языком — Разработка и интеграция AI/ML-сервисов на Python / FastAPI — Интеграция LLM, AI-агентов, RAG и self-hosted inference в продуктовую систему — Работа с workflow orchestration через Temporal — Проектирование API и интеграций: REST, API Gateway, FHIR / HL7, gRPC — Работа с базами данных и инфраструктурой данных: PostgreSQL, pgvector, Redis, Neo4j / Amazon Neptune — Участие в построении облачной инфраструктуры на AWS — Настройка и развитие DevOps-процессов: Docker, Kubernetes, GitLab CI/CD, Terraform — Обеспечение наблюдаемости систем через Prometheus / Grafana, CloudWatch, OpenTelemetry — Участие в вопросах безопасности, авторизации и compliance: OAuth2 / OIDC, управление секретами, шифрование данных, HIPAA / SOC 2 — Hands-on разработка платформенной части, не только архитектурное проектирование Требования: — Сильный опыт системного дизайна: сервисы, API, интеграции, базы данных, распределённые системы и облачная инфраструктура — Опыт разработки на Go и готовность писать код — Понимание AI / LLM на архитектурном уровне — Понимание интеграции AI-агентов, RAG и инференса в продуктовые системы — Опыт проектирования отказоустойчивых и масштабируемых систем — Понимание принципов event-driven архитектуры и workflow orchestration — Самостоятельность, ownership и готовность работать в условиях неопределённости стартапа — Английский язык для чтения технической документации и взаимодействия с партнёрами из США — Высшее образование в области IT, системного анализа, прикладной математики или инженерии Будет плюсом: — Архитектурный опыт построения AI / LLM-систем: агенты, RAG, self-hosted inference, vLLM — Опыт использования Temporal или аналогичных систем оркестрации workflow — Понимание распределённых систем: масштабирование, согласованность, отказоустойчивость — Опыт работы с графовыми базами данных — Опыт работы в стартапах или в роли founding / lead engineer — Понимание требований безопасности и compliance: HIPAA, SOC 2 или аналогичные стандарты — Опыт работы с AWS Условия: — Официальное трудоустройство по ТК РК — Работа из офиса в Астане — После 7–8 месяцев возможен гибридный или удалённый формат — Зарплата: $3 000–$4 000 — Опционы / доля в компании обсуждаются отдельно — Работа в healthtech-стартапе для рынка США — Возможность влиять на архитектуру продукта и технические решения — Участие в создании AI-платформы с реальным impact для healthcare-сферы

Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents. Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role. If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation. Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model. Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix. Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed. Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle. During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams. Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead. Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift. Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability. Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions. Publish health reports of critical apps periodically. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment. Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths. Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts. Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs. Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences. Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues. Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity. Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required. Nice to Have: Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring). Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end. Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents. Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets. JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues. ITIL Foundation certification is a plus but not required — practical experience matters more. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews. Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role. If you’re passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets. Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com). Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure. During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence. Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates. Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio. Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis. Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management. Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems. Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure. Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism. Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows. Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring. Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence. Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams. Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required. Nice to Have: Experience with customer/partner-facing incident communications and status page management. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation. JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions. Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs. Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences. Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems. ITIL certification (Foundation or higher) is a plus but not required. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers