Вакансии

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Cloud Infrastructure Engineer interested in creating something bigger to join our Engineering & Data team! In this role, you’ll be working on highly scalable solutions, used by millions of people and will solve complex problems including challenges like scalability, high availability, performance, optimization & automation. You will use best-in-class services and technologies, including AI-assisted development tools and agentic workflows, and will contribute to improving the technical stack. - Design and implement availability, scalability, and performance plans for the services environments - Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security - Develop security capabilities and encourage adoption of security best practices and architecture changes throughout the company via evangelism and education - Take ownership of automating infrastructure deployment and configuration, lead the creation of CI/CD pipelines for applications, and develop CI/CD best practices across the team - Leverage AI coding assistants (e.g. Claude Code or similar harnesses) to accelerate infrastructure development, automate repetitive engineering tasks, and raise the team's overall velocity - Design, deploy, and scale autonomous or semi-autonomous agents to handle infrastructure operations, incident response, and internal tooling workflows - Perform development, automation, and deployment assignments without close supervision - Provide application development and cloud technology leadership, guidance, and assistance to other team members, including best practices for integrating AI tools into engineering workflows - Control costs and be able to propose and implement new solutions in coordination with dev teams PROFILE (MUST HAVE) - 5+ years of Linux experience including experience with scripting, networks, storage, and release - 3+ years building and maintaining continuous integration environments and working with AWS - 3+ years working with Kubernetes - Strong understanding of the infrastructure as code and immutability principles including Terraform - Experience with high traffic, distributed systems architectures, and related tools (service discovery, config/secret management, etc.) - Experience designing and managing AWS Landing Zone architectures (multi-account strategy, org-level guardrails, centralized networking/logging/security) - Experience in any scripting language (python, bash, …) - Practical experience incorporating AI-assisted coding tools or agentic frameworks (such as Cursor, Claude Code, or similar solutions) into production software development workflows - Ability to adapt to multiple stakeholders and demonstrate strong cross-teams cooperation PROFILE (NICE TO HAVE) - Supporting data pipeline orchestration (ETL, Spark, Airflow) - Running a distributed message broker at scale (Kafka, NATS) - Running GPU workloads on Kubernetes - Supporting ML workloads - Hands-on expertise in designing, deploying, and maintaining agentic systems in production environments (including multi-agent orchestration, tool integration frameworks, and comprehensive agent observability and monitoring) - Experience in golang is a plus OUR STACK AWS; Terraform; Kubernetes; Prometheus; ArgoCD; Circle-Ci; Github Actions; Atlantis; Grafana; Claude Code (or similar AI coding harnesses) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Требования: — 5+ лет опыта — опыт с высоконагруженными системами — опыт с Rust — опыт с Tokio — опыт с Linux Позиция в топовую проприетарную трейдинговую компанию Формат работы: удалённо.

42 — независимая AI research-лаборатория, создающая универсальные фундаментальные модели для прогнозирования и принятия решений в сложных, быстро меняющихся системах. Стек: Go, Rust, Kafka, Postgres, ClickHouse. Амстердам, Нидерланды. Помощь с переездом.

Karta.io — это платформа виртуальных банковских и криптовалютных карт, которая позволяет оплачивать покупки по всему миру с помощью стейблкоинов и криптовалюты. Мы ищем Lead Platform Engineer, который заберёт платформу и инфраструктурную безопасность внутрь команды и доведёт её до продакшн-зрелости. Требования к кандидату: - 3+ года опыта в продакшн с AWS и Kubernetes - Опыт работы с Terraform в продакшн - Опыт в продуктовой компании с инфраструктурой - Участие в аудите PCI DSS или SOC 2 Type 2 - Английский на уровне объяснения для не-инженеров - Знание GitOps (ArgoCD / Flux) будет плюсом - Опыт эксплуатации Python/Django-приложений

Задачи: — Проектировать и строить инфраструктурные примитивы, определяющие масштабирование CI/CD платформы, систем сборки и сред разработки по всей инженерной организации. — Помогать строить и эксплуатировать Kubernetes-контрольную плоскость для CI/CD платформы, включая инфраструктуру self-hosted раннеров GitHub Actions (автомасштабирование, изоляция, оптимизация затрат и производительности), GitHub Apps и GitHub-as-code (права доступа, вебхуки, автоматизация на уровне организации), безопасный сетевой доступ для CI/CD и удалённых сред разработки (Tailscale), GitOps-деплой платформенных сервисов (Flux), эфемерные/по требованию среды разработки и системы сборки. — Разрабатывать ключевые инфраструктурные компоненты, включая Kubernetes Operators и автомасштабирование, которые напрямую используют продуктовые команды, снижая необходимость в индивидуальных CI/CD и средах. — Не заниматься операционной поддержкой, а создавать системы, определяющие процесс сборки, тестирования и деплоя, формируя надёжность и масштабируемость опыта разработчиков в организации. Требования: — 6–9+ лет опыта в SRE, платформенной или инфраструктурной инженерии. — Подтверждённый опыт масштабирования Kubernetes в высоконагруженных продуктивных средах. — Глубокие знания Kubernetes, включая внутренние механизмы, поведение планировщика, кастомные ресурсы и диагностику сбоев на уровне кластера. — Опыт создания платформенной инфраструктуры, контрольных плоскостей или Kubernetes Operators, а не только их использования. — Сильный опыт распределённых систем и обеспечения надёжности в продуктиве. — Владение Terraform и GitOps, включая проектирование и сопровождение автоматизации, а не только выполнение сценариев. — Опыт работы с GitOps-подходами (Flux, ArgoCD). — Практический опыт масштабных CI/CD платформ: GitHub Actions (self-hosted раннеры, workflows-as-code), GitHub Apps, системы сборки. — Опыт работы с AWS и облачной инфраструктурой в продуктиве. — Владение Go (предпочтительно) или другим системным языком. Условия: — Удалённая работа из Канады. — Зарплата от 90 000 до 125 000 USD в год.

Задачи: — Обеспечение надежности, масштабируемости и производительности распределенной инфраструктуры ZK-сопроцессоров. — Управление парком блокчейн-нод (RPC, Validators) и специализированных Prover-нод в мультичейн среде. — Автоматизация процессов развертывания и управления инфраструктурой (IaC) с использованием Terraform / Pulumi. — Глубокий мониторинг и алертинг (Prometheus, Grafana, VictoriaMetrics) с фокусом на специфические метрики блокчейна и прувинга. — Оптимизация производительности систем (Performance Tuning) и работа над минимизацией сетевых задержек (low-latency). — Управление инцидентами, проведение Post-mortem анализа и разработка мер по предотвращению повторных сбоев. — Внедрение и развитие практик GitOps и CI/CD пайплайнов для инфраструктурных и прикладных сервисов. Требования: — Опыт работы в роли SRE или DevOps Engineer от 4-5 лет. — Экспертное владение Kubernetes (управление кластерами, написание Helm чартов / Operator SDK). — Глубокие знания Linux internals, сетевых протоколов и безопасности. — Опыт работы с облачными провайдерами (AWS — основной, GCP/Azure). — Уверенное владение Python или Go для написания инструментов автоматизации. — Практический опыт работы с инструментами IaC (Terraform). — Английский язык: Upper-Intermediate (свободная коммуникация в международной команде). Будет плюсом: — Опыт эксплуатации блокчейн-инфраструктуры (Ethereum, L2s, Solana). — Понимание специфики работы ZK-Rollups или систем с интенсивными вычислениями (GPU/FPGA acceleration). — Опыт работы с инструментами распределенной трассировки (Jaeger / Tempo).

Nitka Technologies is an international IT company specializing in custom software development and IT consulting. The vacancy is for a Senior SRE Engineer / Platform Reliability Engineer position with remote work. No further details about tasks, requirements, or conditions are provided in the text.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform. In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks. Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale. Some examples of the projects you could work on: Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS) Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants Deploying and managing microservices on Kubernetes clusters at scale Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage) Championing and implementing cloud security best practices across automated infrastructure What You’ll Do Build & Scale Multi-Tenant Infrastructure: Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability. Debug & Resolve Production Issues: Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity. Automate Operations at Scale: Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants. Monitor & Predict Capacity: Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana. Respond & Lead During Incidents: Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk. Architect & Collaborate: Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What You’ll Bring Production-Scale Experience: Proven ability to operate and troubleshoot production workloads across multiple tenants or environments. Deep understanding of how distributed systems fail at scale and how to build in resilience. Terraform & IaC Mastery: Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale. Comfortable solving state isolation issues and building reliable, reusable infrastructure code. Experience with Ansible and templating tools like Jsonnet is a plus. Kubernetes in Production: Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments. Understands how pods, ReplicaSets, and controllers interact in production. Programming & Code Analysis: Ability to read and debug code in Go and/or Ruby. Familiar with identifying performance issues, scalability concerns, and contributing to infrastructure tooling through thoughtful code analysis. Large Scale Operations Background: Experience supporting infrastructure for many customers or environments simultaneously. Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads. Architecture & Incident Response: Able to reason through complex systems and operational challenges. Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure. Customer-Focused Collaboration: Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication. GitLab Platform Proficiency: Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows. About the team GitLab’s Dedicated team, where the SRE Environment Automation role sits, is on a mission to deliver a fully managed, single-tenant GitLab experience through the GitLab Dedicated platform. Our goal is to eliminate manual operations across the entire lifecycle of customer environments, including provisioning, upgrades, security, and monitoring, so customers can focus on unlocking the full potential of The One DevOps Platform without managing the underlying infrastructure. We build scalable, automated systems that ensure each GitLab Dedicated instance is secure, consistent, and production-ready—whether we're managing 10 environments or hundreds. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do Our IDEs are built on a massive scale: a 14 GB monorepo with more than 500 developers committing code every day and hundreds of thousands of automated tests running to keep everything stable. Delivering regular, reliable updates across this ecosystem without blocking engineering teams is a massive infrastructure challenge. That’s where you come in. You’ll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You’ll take ownership of the CI/CD pipelines, optimize delivery workflows, and make sure changes flow smoothly from local development all the way to release.That's where you come in. You'll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You'll take ownership of the CI/CD pipelines, optimize delivery workflows, and work closely with engineering teams to keep changes moving smoothly from local development through to release. Day to day, you will: Design, configure, and maintain CI/CD pipelines to keep releases reliable and repeatable. Manage branching strategies, coordinate code freezes, and handle hotfix releases. Diagnose pipeline failures and resolve build bottlenecks before they affect delivery. Automate repetitive release tasks and improve YouTrack workflows for better issue tracking. Gather requirements from development teams to turn pain points into smooth tooling improvements. Communicate process changes to stakeholders and support teams through transitions. Lead retrospectives after incidents to continuously refine our release process. What you’ll bring Curiosity and a systematic approach to solving complex infrastructure problems. Clear communication skills to collaborate with multiple engineering teams. A strong drive to automate manual tasks and remove friction for fellow developers. Comfort taking ownership of release decisions and managing trade-offs under deadline constraints. Pragmatism when prioritizing build stability, release speed, and developer experience. What you’ll need Proven hands-on experience building, maintaining, and troubleshooting CI/CD pipelines (e.g., TeamCity, Jenkins, GitHub Actions, or similar). Fluency in Kotlin or Java. Practical experience working with Gradle or similar build systems. Familiarity with Linux environments and shell scripting. Proficiency Experience using issue tracking tools like YouTrack or Jira to manage workflows. Professional fluency in written and spoken English. Experience with large-scale monorepo builds, the JetBrains toolchain (TeamCity, YouTrack), plugin compatibility testing, or multi-product release pipelines are pluses. What success looks like You earn the trust of our engineering teams by making releases predictable, smooth, invisible, and stress-free. Pipelines run efficiently, failures are diagnosed quickly, and repetitive tasks are continuously automated away. Developers across the IDE department can focus on building great features, confident that the delivery pipeline behind them is rock-solid. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-PR1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Наше основное направление - это финтех. В данный момент у нас имеется 3 действующих проекта которые предоставляют такие услуги как беззалоговые микрокредиты (PDL), микрокредиты под залог техники и ювелирных изделий (ломбард), микрокредиты под залог авто (авто ломбард). Проекты разделены территориально по странам: Казахстан, Россия, Филиппины. В рамках проектов мы создаем высоконагруженные, асинхронные, отказоустойчивые, безопасные финансовые сервисы. И что важно - постоянно добавляем новый инновационный функционал. Задачи: — Администрирование парка выделенных серверов под управлением OS Linux (Ubuntu) + Виртуальные машины на Proxmox; — Администрирование сопровождаемого ПО на PHP (Yii2, Symfony, NodeJS); — Поддержка и развитие систем мониторинга; — Мониторинг, обнаружение, реагирование и исправление проблем на окружениях; — Помогать команде в настройке окружений и CI/CD процессов; — Документирование проделанной работы; — Построение отказойстойчивых систем: networking (network load balancing + failover); — web-applications (Nginx + PHP-FPM + RabbitMQ + PostgreSQL); — databases (PostgreSQL, master-slave replication); — Настройка и оптимизация под высокую нагрузку следующих сервисов: Nginx, Php-fpm, PostgreSQL; — Обеспечение постоянного мониторинга всех сервисов и серверов; — Обеспечение защищенной сети для удаленной работы над проектами с использованием VPN. Требования: — Опыт работы с инструментами DevOps, практические знания и понимание принципов CI/CD; — Опыт работы и хорошее понимание работы Docker, docker-compose, Dockerfile; — Понимание принципов работы k3s/k8s; — Опыт написания bash-скриптов или Python; — Понимание принципов работы TCP/IP, NAT, VPN, DNS. Условия: — Трудоустройство согласно ТК РК, ТК РФ; — Работа в команде.

Location: Remote, Global Workplace: Remote About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a FinOps Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the Terraform or Lambda that ships the fix, working on a product feature chasing a number until it reconciles, and influencing product decisions when cost to reliability tradeoffs hit. Strong communication matters as much as technical depth, you'll regularly explain a savings case to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience in a FinOps, cloud cost management, or cloud governance role. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Развивать и администрировать стек сбора метрик Grafana, Graphite, VictoriaMetrics, Moira. — Повышать отказоустойчивость и масштабируемость системы. — Разворачивать и поддерживать решения в Kubernetes, писать и дорабатывать Helm-чарты. — Осуществлять миграции, обновлять систему. — Разбираться с инцидентами и их причинами. — Взаимодействовать с командами разработки по вопросам наблюдаемости сервисов. Требования: — Опыт администрирования Linux от двух лет: управление сервисами, настройка окружения, работа по SSH. — Практический опыт работы с Kubernetes: понимание манифестов и написание Helm-чартов. — Опыт построения CI/CD пайплайнов. — Опыт администрирования систем телеметрии: Grafana, VictoriaMetrics, Sentry, Kibana. — Знание Ansible: написание ролей и плейбуков для автоматизации развертывания. — Уверенная работа с Git. — Понимание принципов отказоустойчивости распределенных систем. — Навыки дебага приложений и инфраструктуры по логам и метрикам.

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana/Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт работы 2+ года в TechOps/технической поддержке (FinTech/Forex/Crypto будет плюсом) — Отличное владение английским языком (C1+) Условия: — Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8 — Работа в англоязычной команде

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as Open Policy Agent (OPA), Sentinel, AWS Config/Service Control Policies to report on and prevent drift from approved patterns Partner closely with Security/Identity and Access Management (IAM) to deliver least-privilege enforcement and access-control requirements directly in our self-service capabilities while ensuring compliance and auditability Embed cost governance and reporting (budgets, anomaly detection, showback/chargeback) into provisioning workflows Drive the organization's Infrastructure-as-Code standards (e.g., Terraform/Terraform Cloud, Pulumi) Establish and maintain reusable, versioned modules and contribution standards that embed governance requirements by default. Automate environment provisioning, drift detection/remediation, and lifecycle management so policy compliance doesn't depend on manual review Stay ahead of AI-native tooling and bring forward practical opportunities balancing risk, fit, value, measurability, and alignment to company goals. Develop golden paths for infrastructure provisioning and service deployment that make the guided path the easiest path Partner on developer platform tooling and integrations (continuous integration and continuous delivery (CI/CD), container registries, managed data services, observability) where they intersect with governance and automation. What You'll Bring 8+ years in cloud engineering, DevOps, or platform engineering, including experience operating at a principal or staff level (setting direction, not just implementing) Deep experience with major Cloud Platforms (AWS, Azure, or Google Cloud Platform (GCP)), ideally across more than one Deep hands-on experience with Infrastructure-as-Code (Terraform and/or Pulumi) at scale, including module design and state/workspace management Direct experience implementing policy-as-code and cloud governance frameworks Experience with cloud cost management/FinOps practices and tooling Familiarity with continuous integration and continuous delivery (CI/CD) platforms, container registries, and observability tooling as consumers of the standards you build Ability to influence across platform, security, FinOps, and product engineering teams without direct authority Strong documentation and communication skills; able to make the case for standards to both engineers and leadership Experience mentoring engineers and setting technical direction beyond your own immediate team Experience with platform advocacy, working with partners to understand infrastructure needs in collaboration with Product. What Sets You Apart Exposure to applying AI tooling to infrastructure problems (policy review, anomaly detection, automation) is a plus Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600 — $259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Задачи: — Архитектура и развертывание корпоративной инфраструктуры Azure с использованием Terraform/Bicep, поддержка модульных библиотек IaC и управление состоянием. — Обслуживание, патчинг и оптимизация кластеров Azure Kubernetes Service (AKS), управление автоскейлингом, маршрутизацией ingress и политиками service mesh. — Проектирование, поддержка и обеспечение безопасности автоматизированных CI/CD пайплайнов в Azure DevOps или GitHub Actions для ускорения циклов деплоя. — Применение Azure Policy, аудит ролей IAM через Entra ID, управление ротацией секретов в Key Vault, устранение уязвимостей с помощью Defender for Cloud. — Мониторинг метрик системы, реагирование на инциденты инфраструктуры, проведение RCA и оптимизация использования ресурсов для снижения затрат. Требования: — Опыт работы не менее 5 лет с Microsoft Azure, включая compute, сети (VNets, ExpressRoute, Application Gateways) и уровни хранения. — Продвинутые навыки Terraform или Bicep для автоматизации, обнаружения дрейфа и управления состоянием в мульти-подписочных средах. — Опыт построения, защиты и масштабирования AKS, управление ingress контроллерами и деплой приложений с Helm. — Глубокое понимание построения CI/CD с Azure DevOps или GitHub Actions, включая автоматическое сканирование безопасности, соблюдение политик и безотказные релизы. — Знания в области безопасности облака с Microsoft Entra ID, Azure Key Vault, Azure Policy и RBAC в модели Zero Trust. — Опыт настройки мониторинга и алертинга с Azure Monitor, Log Analytics, Application Insights или сторонними платформами (Datadog, Dynatrace). — Локация в часовом поясе CET (+/- 3 часа). Желательно: — Сертификаты Azure AZ-104, AZ-305, AZ-400. — Навыки программирования на Python, Go, PowerShell или Bash для скриптинга инфраструктуры. — Опыт оптимизации затрат в облаке (FinOps) и управления политиками Azure Cost Management. — Знакомство с гибридными облачными конфигурациями или Azure Arc. Условия: — Своевременная оплата с гибкими вариантами вывода средств. — Предсказуемый график работы: 8 часов в день. — До 24 дней гибких выходных в год для полноценных позиций. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная ежемесячная оплата через Proxify.