Вакансии

Задачи: — Разрабатывать и внедрять классические ML-модели для оценки рисков, выявления мошенничества, прогнозирования оттока и ценообразования. — Создавать функции на базе больших языковых моделей (LLM) и внутреннюю автоматизацию с использованием RAG-пайплайнов и агентных рабочих процессов. — Определять стратегию в области искусственного интеллекта, включая стандартизацию инструментов и разработку фреймворков оценки моделей. — Отвечать за полный жизненный цикл ML: от определения требований заинтересованных сторон до развертывания и мониторинга. — Сотрудничать с руководителем отдела данных для формирования возможностей ML/AI с нуля. Требования: — Опыт профессиональной работы ML-инженером не менее 4 лет с использованием Python в продакшене. — Глубокие знания классического машинного обучения, включая инженеринг признаков и валидацию моделей. — Практический опыт работы с фреймворками LLM, такими как LangChain, LangGraph или LlamaIndex. — Подтвержденный опыт создания систем RAG или продуктов на базе LLM для реальных пользователей. — Опыт работы с основными облачными провайдерами (AWS, GCP, Azure) и контейнерами. — Свободное владение английским языком в письменной и устной форме. Желательно: — Опыт работы с MLOps-инструментами, такими как MLflow, Airflow или Kubernetes. — Опыт работы в сферах финтеха, платежей или телекоммуникаций. Условия: — Комплексный страховой пакет, включающий медицинское, стоматологическое и профессиональное страхование. — 30 дней ежегодного отпуска и дополнительная оплата по уходу за ребенком. — Пособие на оздоровление в размере 5000 SEK и скидки на абонементы в спортзал. — Пенсионный план и программа бонусов на основе результатов работы. — Международная и разнообразная команда в Стокгольме.

Задачи: — Обеспечивать надёжность и доступность сервисов на bare metal с Kubernetes поверх железа — Строить и поддерживать observability (Prometheus, Grafana, Loki): метрики, дашборды, алерты, SLO/SLI — Реагировать на инциденты, проводить post-mortem и устранять причины, а не симптомы — Тюнить PostgreSQL и другие БД под продакшен-нагрузку, искать боттлнеки — Поддерживать CI/CD (GHES, ArgoCD), снижать время и риск деплоев — Сетевая инфраструктура: маршрутизация, сегментация, балансировка нагрузки, безопасность — On-premise и air-gapped поставки (~10%) — Capacity planning и работа над снижением toil — Безопасность, которая не тормозит команду — Взаимодействие с командой разработки и инженерами клиентов Требования: — Глубокий опыт bare metal — без облачных абстракций — Понимание внутреннего устройства Kubernetes, а не только манифестов — Опыт устранения продакшен-инцидентов под давлением, умение быстро находить root cause — Тюнинг БД под нагрузкой (приоритет — PostgreSQL) — Опыт построения observability и систем алертинга с нуля — Опыт on-prem и air-gapped развёртываний — Сети: L2/L3, routing, firewall, VPN — Продакшен Linux troubleshooting — Подход security-mindset с балансом на скорость доставки — Высокая автономность при работе с незнакомым стеком — Видение инфраструктуры за пределами текущей задачи — Английский B2+ Будет плюсом: — Опыт с GPU-кластерами для AI — Ceph/ZFS/распределённые хранилища — Опыт hardening/compliance для гос. заказчиков — Air-gap CI/CD Не ищем: — YAML-инженеров, которые только применяют готовые манифесты. Нужен человек, который понимает, что происходит под капотом — и готов первым встать ночью, если что-то упало.

Location: Hybrid 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. Available Locations: Washington DC, Austin, NYC, San Francisco About the Dept Cloudflare’s engineers build and operate the software that helps power 25+ million Internet properties and millions of businesses around the world. Across our engineering organizations, we have opportunities for high caliber, curious and empathetic people to take on big challenges and build some of the best skills in the industry. We’re looking for talented team members to help build high-growth products, help scale our expanding network, build tools to improve availability, performance, uptime, and response times, and make systems failure-resistant and ready-to-scale. Cloudflare is a fast growing company and engineering is an ever-evolving function with teams being formed and redefined often. You will interview for an engineering role in the Intent Management organization which is part of the overall Foundational Engineering team at Cloudflare, which builds and operates many of the fundamental systems powering Cloudflare’s products. What you'll do Too many of Cloudflare's most impactful incidents have had unsafe change as a root cause. The Intent Management exists to make safe change the easy button and this is the most senior IC role in that organization, reporting directly to the Senior Director. You will own the technical coherence of a platform that spans globally distributed key-value storage, progressive release and configuration delivery, and the testing and health-mediation systems that prove change is safe. You'll work at the seams that matter most by translating what Cloudflare's Edge and control-plane platforms need into the primitives our teams build. You'll move fluidly between writing production code, designing new systems, and reviewing the proposals of other senior engineers. You’ll also help us work out how best to integrate LLMs into our processes and systems. You will be working alongside engineers who have presented at DevOps Days, Config Management Camp 2024 & 2025, Monitorama, OSMC, KubeCon and PromCon.   Together you will deliver on the key Health Mediated Deployment projects that are being tracked through senior leadership of Cloudflare up to the founders. Examples of desirable skills, knowledge and experience 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide technical initiatives that delivered measurable improvements to system performance, reliability, security, developer productivity, or engineering culture. Strong track record of technical leadership and influence without direct authority, including driving consensus on technical decisions across multiple teams, mentoring senior engineers, and establishing architectural patterns that are widely adopted across an organization. Experience designing, building and managing high volume, global scale software applications. Expert in at least one modern strongly-typed programming language Knowledge of API design standards, patterns and best practices Experience working with top tier LLMs to plan, write, test, and deploy software Bonus Points Strong interpersonal and communication skills with a bias towards action Experience with scaling and simplifying high scale Configuration Management systems Familiarity with Google’s Prodspec and Annealing systems Experience with Kubernetes Experience with RocksDB or similar data stores Experience with health checking and probe platforms at significant scale Public evidence of technical leadership such as conference talks on distributed systems or security, widely-read technical blog posts, significant open source contributions, or published architectural patterns that have been adopted by the broader engineering community. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $230,000 - $288,000 For Washington and New York City based hired: Estimated annual salary of $220,000 - $275,000 For Austin based hired: Estimated annual salary of $200,000 - $250,000 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: Bengaluru, Karnataka, India Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role Our customer-obsessed Customer Success team serves as the critical bridge between our customers and Cast AI, representing both the voice of the customer to Cast AI and the voice of Cast AI to the customer. The CS Team lives by the core values of being Smart, Humble, and Hungry. We value technical excellence, a collaborative mindset, and a strong drive to succeed. Cast AI is looking for a Technical Support Engineer with a robust Kubernetes troubleshooting and administration background. If you thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies, you could be the perfect fit for our team. Requirements : 3+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage. Strong Linux/Unix fundamentals and experience working in distributed, containerized environments. Experience with at least one major public cloud provider (AWS, Azure, GCP). Experience supporting customers in a SaaS or cloud-native environment. Exceptional problem-solving abilities and a passion for diagnosing and resolving complex technical issues. Strong written and verbal communication skills to interact with technical and non-technical stakeholders. A collaborative mindset, with the ability to drive cross-functional projects and align teams. Excellent English to support global customers; other languages are an advantage. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Nice to Have: CKA or CKAD Certification Terraform Certification Cloud Architect Certification Responsibilities: Serve as the primary Cast AI subject matter expert, delivering deep technical guidance and authoritative support to customers. Collaborate closely with customers to troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving throughout the process. Own customer issues from intake through resolution, driving timely outcomes that minimize downtime and improve system performance and reliability using Cast AI. Document and share knowledge by contributing to internal knowledge bases, creating technical guides, and outlining best practices to support both customers and internal teams. Provide mentorship and support to junior team members, fostering skill development and contributing to a strong, knowledgeable team environment. Participate in an on-call rotation, delivering critical after-hours assistance to maintain high levels of customer satisfaction and trust. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. What’s in it for you: Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, hybrid work environment. Equity options. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: - Вести проектирование и разработку ключевых backend-компонентов на Go в Kubernetes-ориентированной среде. - Определять архитектурные стандарты и задавать техническое направление для распределённых платформенных систем. - Внедрять лучшие инженерные практики в командах, включая стандарты кодирования, деплой и мониторинг. - Сотрудничать с заинтересованными сторонами для приоритизации и реализации важных технических инициатив. - Наставлять инженеров в разных командах, способствуя их техническому росту и обмену знаниями. - Вносить вклад в функции платформ LLM/RAG и обеспечивать их надёжную работу в продакшене. Требования: - Опыт работы в IT не менее 7 лет. - Более 5 лет опыта с Go или Rust в качестве основного языка программирования, с сильной экспертизой в Go. - Подтверждённый опыт проектирования и внедрения Kubernetes-нативных архитектур в продакшене. - Глубокие знания в проектировании и масштабировании распределённых систем. - Практический опыт работы с LLM или RAG системами в продакшене. - Способность вести и влиять на техническое направление нескольких команд. - Продвинутый уровень английского языка. Условия: - Удалённая работа. - Отличная компенсация в USD или местной валюте по выбору. - Обеспечение необходимым оборудованием и ПО для работы из дома. - Гибкий график работы. - Оплачиваемые отпуска, декретные и национальные праздники. - Инновационная и мультикультурная рабочая среда с возможностью учиться у лучших специалистов. - Поддержка в виде наставничества, карьерного роста и развития навыков.

Location: Remote - International Workplace: Remote ABOUT SOMNIA The Somnia Foundation, backed by Improbable, specialises in building and operating high-performance decentralised technology. Its EVM L1, launched in 2025, has been benchmarked as the fastest on the planet: at over 1 million ERC-20 transactions per second. At Somnia you'll be working alongside a talented team working across the core blockchain along with novel protocols leveraging its capabilities: - Somnia Agents adding the ability for smart contracts to leverage the latest open-source LLMs and interact with the outside world via headless browsers, powered by on-chain deterministic LLM inference and a decentralised network of agent runners - Prophecy an information oracle that can combine parsing of public websites and public data sources into decentralised, auditable attestations about the real world, powering prediction markets, forecasting and new types of financial systems - DreamDEX a high-performance DEX with a fully on-chain CLOB leveraging on Somnia's core capabilities, targeting centralised exchange characteristics - Somnia L1 continued work on the high-performance EVM L1, including working on MEV resistance, privacy, automatic gas sponsorship and 'reactivity' where smart contracts can autonomously invoke themselves based on specific timing or event criteria     ABOUT THE ROLE We're looking for a Senior Infrastructure Engineer to build and run Somnia's key backend services: the L1 and node fleet, RPC and indexing layers, product backends, and developer-facing services teams depend on. An SRE-minded role: you make reliability measurable, rollouts safe, and infrastructure repeatable, so every team can move fast without breaking things. You treat infrastructure as a product: automate relentlessly, measure everything, and leverage AI to accelerate development, operations, and incident response. KEY RESPONSIBILITIES - Define and maintain SLOs, SLIs, and error budgets, plus the observability—metrics, logs, traces and alerts—that catches regressions before users do. - Build repeatable, self-service infrastructure through infrastructure-as-code, CI/CD and golden paths so teams can provision, deploy and recover without reinventing the wheel. - Own rollouts end-to-end—progressive delivery, canaries, safe migrations and clean rollbacks. - Operate the systems behind Somnia's nodes, validators, RPC and indexing, tuning for performance and cost across regions. - Lead incident response and on-call, run blameless postmortems, and continuously harden the platform. - Partner with product and protocol teams to design and operate production-ready services. You'll rotate between embedding with engineering teams and building the shared platform, tooling and operational standards that underpin the wider organisation.   REQUIREMENTS MUST HAVE - Strong experience operating production infrastructure at scale (cloud and/or bare metal), with deep Linux fundamentals. - Experience with infrastructure-as-code such as Terraform or Pulumi, alongside configuration management. - Experience running containers and orchestration platforms (Docker, Kubernetes) in production. - Strong programming skills, ideally in Go and/or TypeScript, for building automation and internal tooling. - Experience with observability stacks (Prometheus, Grafana, OpenTelemetry or equivalents). - Experience operating and monitoring distributed systems, including capacity planning and performance tuning. - Comfortable operating in high-stakes production environments and responding to incidents. - Genuine interest in crypto and on-chain systems. NICE TO HAVE - Experience operating blockchain node infrastructure (validators, RPC, archive nodes) for an L1/L2. - Experience with high-performance networking, low-latency systems or load balancing at scale. - Multi-region and geo-distributed deployments with failover strategies. - Security and key management (HSMs, secrets management, hardening). - EVM tooling and the wider Web3 infrastructure ecosystem.   WHAT SUCCESS LOOKS LIKE - Engineers can deploy safely and frequently with confidence. - Platform reliability is measurable, with well-defined SLOs and continuously improving service health. - Infrastructure is automated, repeatable and increasingly self-service. - Incidents become less frequent, easier to diagnose and faster to resolve. - Product teams spend more time shipping features and less time managing infrastructure.   HOW WE WORK - Agent maximalists: We are strong believers in agentic tooling being a massive accelerant to velocity beyond vibe coding prototypes: from equipping engineers with the latest tools through to agentic harnesses for security testing and end-to-end shipping fixes and small features. - Ownership and autonomy: A lean team that optimises for individual impact and velocity. Engineers own features end-to-end, from idea to production, and are trusted to make the call to ship. - Outcome-oriented: We take on hard technical problems, but the tech is always a means to an end. What matters is what ships and the impact it has, not cleverness for its own sake. - Best tool for the job: We solve interesting problems in the simplest way possible. Mostly TypeScript for full-stack apps, C++ for high-performance systems, Go for infrastructure services and Solidity for smart contracts.

Location: Bucharest Workplace: Hybrid As an engineer focused on backend systems at Alchemy, you'll be working with one of the most sophisticated and high-throughput distributed systems in the blockchain world. You'll focus on architecting and building new systems as well as improving existing ones for a platform that supports millions of users globally. You'll have the autonomy to shape technical solutions, influence architectural decisions, and own services throughout their lifecycle. WHAT YOU'LL DO - Design, build, and maintain backend infrastructure, APIs, and services at scale. - Own the architecture and implementation of distributed systems behind high-volume, low-latency APIs. - Solve hard scalability, latency, and performance problems in live production systems. - Lead system design discussions and shape the direction of our backend architecture. - Set the best practices for backend development—throughput, reliability, and latency. - Validate performance through automated testing, benchmarking, and production-driven improvements. - Trace production issues across services and the full stack, and ship fixes that durably improve reliability. WHAT WE'RE LOOKING FOR - 5+ years of relevant industry experience. - BS/BA degree in Computer Science or equivalent practical experience. - Experience designing, building, scaling, and maintaining core backend components - Ability to solve complex design, scalability, latency, or performance problems in high-throughput, low-latency production systems. - Production experience with Java, Rust - Experience in cloud-native environments, particularly AWS. - Experience with managed Kubernetes platforms such as Amazon EKS is a plus. - Comfortable working across the stack, with a willingness to dive into infrastructure and platform challenges when the problem calls for it. - Experience building highly available and scalable distributed systems. - You're a self-starter who takes ownership, moves fast, and knows when to obsess over the details—and when it's time to ship. - Curiosity about emerging technologies and a desire to continuously learn and explore new ideas. - Web3 experience, a plus - Founded a company or built side projects, a plus - Experience in startups, a plus BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: A Satellite Database Engineer is responsible for designing, developing, and maintaining databases that support satellite integration, operations, telemetry processing, mission planning, and analytics. This role requires expertise in handling large-scale telemetry and command data, including Mission Information Base (MIB) formats, which are essential for defining telemetry and command dictionaries. Tasks and Techical Skills: Mission Information Base (MIB) Expertise: • Experience in handling, processing, and managing MIB format files for satellite telemetry and command definitions. • Understanding of MIB database structures for storing telemetry parameters, command definitions, and limits. • Ability to parse, validate, and integrate MIB files into satellite operations software. Telemetry & Command Data Handling: • Experience with real-time and historical telemetry data processing. • Knowledge of CCSDS (Consultative Committee for Space Data Systems) standards for telemetry and command data. • Familiarity with telemetry data encoding, compression, and error handling. Data Modeling & Architecture: • Strong knowledge of relational and non-relational database design for space systems. • Ability to optimize database performance for high-volume satellite telemetry and command data. Big Data & Analytics: • Experience handling large telemetry datasets from satellites and ground stations. Cloud & Infrastructure: • Experience with cloud-based database solutions (AWS RDS, Azure Cosmos DB, Google BigQuery). • Familiarity with containerized database deployment (Docker, Kubernetes). Programming & Scripting: • Proficiency in Python, SQL, and shell scripting for automation and data processing. • Experience with database APIs. Security & Compliance: • Knowledge of encryption, access control, and secure database best practices. Must haves Bachelor’s or Master’s Degree in Computer Science, Data Science, Aerospace Engineering, or a related field. 10+ years of relevant experience Experience working with MIB telemetry and command databases for satellite mission operations is highly preferred. Familiarity with satellite telemetry ground systems (e.g., mission control software, or flight software integration). Previous relevant experience in Satellite Database for LEO/MEO constellation for communication missions Complementary skills/knowledge that will be considered Understanding of the space environment, communication satellites, radio frequency (RF) equipment and the various solar cell & battery technologies Ability to lead and/or mentor junior members of the engineering team Problem-Solving & Analytical Thinking – Ability to troubleshoot and optimize MIB databases and telemetry processing systems. Collaboration & Communication – Work with mission planners, aerospace engineers, and ground control teams to integrate database solutions. Attention to Detail – Ensure data integrity, accuracy, and consistency across mission-critical satellite systems. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Paris Workplace: Remote 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 gaming industry. Our Game Tech team builds scalable, reliable, and developer-friendly solutions for our studios. Our SDKs support various functionalities including ads, in-app purchases, segmentation, authentication, analytics, and more. We also manage a platform for Experimentation and Remote Configuration, CI/CD and an SDK to support cloud save and multiplayer functionalities. This role is fully remote within any EU based country. ROLE We’re looking for a Staff Unity Engineer to join our Engineering & Data team our SDK team of 10 engineers. In this role, you’ll deliver world-class solutions and drive the team towards technical excellence. You’ll be working on an SDK that empowers hundreds of engineers across our company to create engaging gaming experiences for millions worldwide. You will: - Design, develop, and maintain SDKs for Unity platform integration - Collaborate with game developers to understand their needs and optimize SDK performance - Troubleshoot and resolve complex issues - Ensure SDK compatibility across different Unity versions and platforms - Create clear documentation and sample implementations for SDK users - Implement best practices for performance optimization - Participate in code reviews and architectural decisions PROFILE - 8+ years of professional experience - 3+ years of experience in game development - Strong proficiency in Unity and C# - Strong knowledge of software design patterns and architecture - Excellent interpersonal and communication skills, capable of influencing teams and interfacing effectively with various stakeholders - Strong command of written and spoken English - Excellent problem-solving and debugging skills - Experience with performance profiling and optimization tools - Familiarity with CI/CD pipelines OUR STACK - Unity; C#; AWS; Kubernetes; Terraform 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

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in cloud and compute infrastructure. We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems. Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters. We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely. WHAT YOU'LL DO - Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. - Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. - Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. - Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 7 years of experience building and operating large-scale platform or compute infrastructure. - Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system. - Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management. - Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services. NICE-TO-HAVES - Background in virtualization technologies like Firecracker, gVisor, Kata, or similar. - Experience optimizing the performance of node, pod, and container spin-up times. - Familiarity with eBPF, Linux kernel internals, resource management. - Comfort securing and isolating workloads in multi-tenant execution environments. RELEVANT LINKS FROM THE RENDER INFRASTRUCTURE TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. As Unlimit expands into new markets, each license we obtain connects us to that country's banking infrastructure — domestic clearing and direct interaction with other participants in the banking system. This role owns the integrations that bring those rails live: working hands-on with central banks, national clearing systems, and third-party BaaS providers.   You'll act as both project lead and solution engineer — running each integration with the regulator or provider and doing the technical implementation yourself. It's a role that sits between delivery and architecture: you own a project end to end while staying deep in the technical detail. What You'll Be Doing Own central bank and clearing integration projects end to end, from kickoff to go-live, as Unlimit enters new licensed markets. Act as the primary technical and project contact for regulators and their assigned counterparts. Manage the full onboarding path: credentials and environment setup, certification test cases, and production activation. Set and defend realistic launch timelines, and keep projects on track within their delivery window. Design and implement the connections that plug Unlimit into local clearing and payment systems. Deliver integrations with third-party BaaS providers to bring additional payment rails online. Document integrations and hand over clean, maintainable solutions to engineering and operations. Our Tech Stack You'll work across a stack that includes: Backend & tooling: JVM, Kotlin, Java, Spring Boot, Modulith, Javalin, jOOQ, Temporal Integration & messaging: REST and SOAP/XML web services, ISO 20022; Kafka and SQS/SNS for internal eventing Security: mTLS, PKI, certificate-based authentication, and digital signatures — standard for central bank and clearing connections Cloud & infrastructure: AWS, Docker, Kubernetes, Terraform, GitLab CI/CD What We're Looking For 5+ years in payments, banking, or integration engineering, with hands-on ownership of complex integration projects. Direct experience integrating with central banks and/or national clearing and settlement systems. Hands-on familiarity with payment schemes and networks such as SWIFT and SEPA. Strong understanding of payment rails, clearing, and settlement flows. Comfort with payment messaging standards and integration patterns (ISO 20022, MT/MX, SOAP/REST web services, certificate-based auth). The ability to run a regulated project independently — managing scope, timelines, and regulator communication without close supervision. A solid awareness of AI-driven engineering practices and where the tooling is heading. Hands-on experience putting AI tools to work — LLMs, AI-assisted development environments, and automation frameworks — to sharpen productivity, system performance, or technical decision-making. A clear, structured communicator who can hold their own with regulators and technical counterparties alike. Nice to Have Experience working directly with financial regulators, especially in Europe, Mexico, and Brazil. Familiarity with local schemes such as SEPA (Europe), SPEI (Mexico), and Pix (Brazil). Prior BaaS / embedded-finance integration experience. A background in payments, banking, or fintech operating across multiple jurisdictions. What You'll Gain Ownership of high-impact projects that directly unlock new markets for Unlimit. Exposure to the full fintech product landscape: acquiring, BaaS, wallets, crypto, and more. A global company with a strong engineering culture, agile mindset, and flat hierarchy. Collaboration with international teams across EU, LATAM, and APAC. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Задачи: - поддерживать и развивать Kubernetes-платформу и инфраструктурные сервисы; - автоматизировать рутинные операции и сокращать количество ручных процессов; - диагностировать и устранять инциденты на уровне Linux, сети, Kubernetes, CI/CD и приложений; - взаимодействовать с командами разработки по вопросам развертывания, диагностики и сопровождения инфраструктуры; - предлагать и внедрять улучшения в инфраструктуру, шаблоны, стандарты и внутренние DevOps-практики. Требования: - уверенные знания Linux и практический опыт администрирования; - опыт работы с Kubernetes; - опыт построения и сопровождения CI/CD-пайплайнов (GitLab CI или аналогичные инструменты); - навыки автоматизации с использованием Bash, Python, Go или другого языка программирования; - опыт работы с системами мониторинга и наблюдаемости: Prometheus, Grafana, Alertmanager, Loki, ELK, OpenSearch, Zabbix или аналогами; - умение анализировать метрики, логи и алерты для поиска первопричин инцидентов и их устранения; - стремление развивать инфраструктуру, оптимизировать процессы и внедрять современные DevOps-практики.

Location: Serbia Workplace: remote ABOUT YOU We're looking for a Staff Engineer to join our Identity & Access Management (IAM) platform team. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how Xsolla builds secure, high-scale auth infrastructure — setting direction, making hard architectural calls, and raising the bar across the org. You will own the strategy behind authentication, authorization, and session management at scale, and evolve our OAuth 2.0 / OIDC flows and token lifecycle to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering and security stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production IAM issues get hard. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.   HOW WE WORK Xsolla operates across multiple time zones, and the IAM platform underpins authentication and authorization for every product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. If a design or production issue has real security or reliability implications, we expect you to say so clearly, defend your position with evidence, and stay engaged until it's resolved.   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 Own IAM Architecture & Strategy — Own the technical strategy and architecture of our IAM platform, covering authentication, authorization, and session management at scale. Design Auth Protocols — Design and evolve our OAuth 2.0 / OIDC flows, token lifecycle, and security primitives to meet both product and compliance requirements. Drive Cross-Team Technical Decisions — Drive decisions on protocol design, data modeling, and platform reliability, and build buy-in across engineering and security teams. De-Risk Proactively — Identify systemic risks and performance bottlenecks; lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, and infra teams to align on roadmap and translate business needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the IAM domain. Requirements Identity & Security OAuth 2.0 / OIDC Depth — Deep understanding of OAuth 2.0, OIDC, and related auth flows: authorization code + PKCE, client credentials, device flow, token introspection, refresh strategies. Web Security Fundamentals — Solid grasp of cookie security, CSRF, XSS, token storage, TLS, and secure session management. Production IAM Experience — Experience designing or operating production-grade IAM or auth systems. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes). Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Hands-on experience with the Ory ecosystem (Hydra, Kratos, Keto) — operating it in production or building on top of its APIs Experience with CockroachDB or other distributed SQL databases (multi-region deployments, clock skew handling, survivability trade-offs) Familiarity with compliance requirements relevant to IAM: SOC 2, ISO 27001, GDPR data minimization, audit logging Contributions to open-source security or identity projects Experience building or integrating with SCIM, SAML, or enterprise SSO (LDAP / Active Directory) Background in platform or infrastructure engineering — building systems other engineers build on top of Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work 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 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: Canada Workplace: remote ABOUT YOU We're looking for a Staff Engineer to join our Identity & Access Management (IAM) platform team. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how Xsolla builds secure, high-scale auth infrastructure — setting direction, making hard architectural calls, and raising the bar across the org. You will own the strategy behind authentication, authorization, and session management at scale, and evolve our OAuth 2.0 / OIDC flows and token lifecycle to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering and security stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production IAM issues get hard. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.   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 Own IAM Architecture & Strategy — Own the technical strategy and architecture of our IAM platform, covering authentication, authorization, and session management at scale. Design Auth Protocols — Design and evolve our OAuth 2.0 / OIDC flows, token lifecycle, and security primitives to meet both product and compliance requirements. Drive Cross-Team Technical Decisions — Drive decisions on protocol design, data modeling, and platform reliability, and build buy-in across engineering and security teams. De-Risk Proactively — Identify systemic risks and performance bottlenecks; lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, and infra teams to align on roadmap and translate business needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the IAM domain. Requirements Identity & Security OAuth 2.0 / OIDC Depth — Deep understanding of OAuth 2.0, OIDC, and related auth flows: authorization code + PKCE, client credentials, device flow, token introspection, refresh strategies. Web Security Fundamentals — Solid grasp of cookie security, CSRF, XSS, token storage, TLS, and secure session management. Production IAM Experience — Experience designing or operating production-grade IAM or auth systems. Domain Context Gaming Industry Experience — Experience working in the video game industry, building or operating platforms for game developers, publishers, or players. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes). Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Hands-on experience with the Ory ecosystem (Hydra, Kratos, Keto) — operating it in production or building on top of its APIs Experience with CockroachDB or other distributed SQL databases (multi-region deployments, clock skew handling, survivability trade-offs) Familiarity with compliance requirements relevant to IAM: SOC 2, ISO 27001, GDPR data minimization, audit logging Contributions to open-source security or identity projects Experience building or integrating with SCIM, SAML, or enterprise SSO (LDAP / Active Directory) Background in platform or infrastructure engineering — building systems other engineers build on top of Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Staff Engineer, we will conduct a background check that may include the following:  Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits: You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Задачи: — эксплуатация Kubernetes в production (HPA, requests/limits, network policies) — практическое применение CI/CD и GitOps — работа с Observability stack (метрики, алерты, дашборды, tracing, SLO/error-budget, runbook’и) — уверенный опыт с PostgreSQL и Redis (pooling, индексы, партиционирование, репликация, troubleshooting) — глубокое знание Terraform, Linux, сетей и TLS — работа с high-load или latency-sensitive системами (от 10k RPS, p95/p99 latency, bottleneck analysis, нагрузочное тестирование) — проектирование прогрессивных деплоев (canary/blue-green, feature flags, A/B infra) и миграций без даунтайма (strangler-fig, shadow/replay) — понимание IDP/platform-as-product подхода и построения golden-path платформ — написание архитектурных документов (ADR) и менторство других инженеров Требования: — опыт эксплуатации Kubernetes в production — практический опыт CI/CD и GitOps — опыт работы с Observability stack — уверенный опыт с PostgreSQL и Redis — глубокое знание Terraform, Linux, сетей и TLS — опыт работы с high-load или latency-sensitive системами — опыт проектирования прогрессивных деплоев и миграций без даунтайма — понимание IDP/platform-as-product подхода — умение писать архитектурные документы и менторить Условия: — работа в офисе в г. Алматы — занятость оффлайн

Задачи: — Проектировать и владеть сквозными ML и дата-системами от сбора данных до продакшн-деплоя — Архитектурно создавать масштабируемые дата-пайплайны для RAG, эмбеддингов и обработки в реальном времени — Строить и эксплуатировать ML-сервисы, API и инфраструктуру с использованием IaC, контейнеризации и оркестрации — Интегрировать ML-системы с внешними API, инструментами и платформами для автоматизации — Устанавливать мониторинг, оценку и наблюдаемость данных, моделей и систем — Наставлять инженеров и задавать техническое направление команды Требования: — Опыт проектирования и масштабирования продакшн ML-систем и дата-платформ — Глубокие знания в области дата-инжиниринга, ML пайплайнов, RAG и эмбеддингов — Опыт создания надежной инфраструктуры данных с гарантией качества — Навыки Python и SQL, Docker, Kubernetes, облачные среды — Опыт работы с IaC (Terraform) и воспроизводимыми масштабируемыми системами — Практический опыт интеграции ML с API/сервисами и продакшн-операциями с мониторингом Желательно: — Опыт работы с LLM, агентными архитектурами (LangGraph, AutoGen, CrewAI) — Знакомство с синтетическими данными, системами оценки, AI feedback loops — Инструменты наблюдаемости Agent/ML (Langfuse, LangSmith) — Обслуживание моделей, маршрутизация, оптимизация инференса — Опыт с open-source моделями (LLaMA, Mistral) или кастомным инференсом — Паттерны надежности и безопасности систем AI Условия: — Гибридный формат работы: 2 дня в неделю на кампусе в Берлине — Поддержка релокации в Берлин — 27 дней отпуска + дополнительные дни после 2-3 лет — Бюджет на образование €1,000, языковые курсы, Udemy, поддержка родителей — Медосмотры, медитация, субсидии на спорт и велосипед — План акций для сотрудников, банк саббатикала, транспортные скидки, страховка, пенсия — Ваучеры на питание, корпоративные скидки

Location: United States What The Role Is As a Staff Engineer at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next. What You'll Own A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build. In practice, you: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Make the architecture calls that span teams and the ones that are expensive to reverse. Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones. A few problems people at this level are working on right now: Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it. Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt. Building Early Investor, our new family finance product, from scratch, on a deadline that can't move. Who You Are You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other. A few things that tend to be true of people who thrive here: You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. You're curious: you spot problems before they're filed and push your own ideas until they ship. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address