Вакансии

Задачи: — Разработка и поддержка CI/CD пайплайнов — Автоматизация инфраструктуры (IaC) — Развертывание и поддержка Kubernetes-кластеров — Мониторинг, логирование и алертинг — Обеспечение отказоустойчивости и масштабируемости систем — Внедрение DevSecOps практик — Оптимизация cloud-инфраструктуры и затрат — Поддержка production-среды Требования: — Проживание на территории РФ — Опыт работы DevOps/SRE от 2+ (Middle) — Уверенное знание Linux — Опыт работы с контейнерами и оркестрацией (Docker, Kubernetes) — Опыт построения CI/CD (GitLab CI / Jenkins / GitHub Actions) — Infrastructure as Code (Terraform, Ansible) — Опыт работы с облаками (Amazon Web Services / Google Cloud Platform / Microsoft Azure) — Мониторинг и логирование (Prometheus, Grafana, ELK Stack / Loki) — Опыт работы с Git — Будет плюсом опыт с: Argo CD / Flux, Работа с секретами (HashiCorp Vault), Опыт DevSecOps (SonarQube), Опыт работы с брокерами/БД (Kafka, PostgreSQL), Опыт построения highload систем — Понимание DevOps практик и CI/CD подходов — Навыки troubleshooting — Опыт работы с production системами — Умение работать в команде Условия: — Официальное трудоустройство в аккредитованную IT-компанию — Полностью удалённая работа (РФ) — 28 календарных дней оплачиваемого отпуска в год — Бенефиты (компенсация спорта, скидки у партнеров и др.)

Задачи: — разработка и отладка торговых стратегий: портфельное управление, арбитраж, маркет-мейкинг, аукционы, хеджирование на множестве инструментов от акций и бондов до REPO и опционов — разработка движка: внутренний и внешний мессенджинг, генераторы/оптимизаторы кода, конвейер Quality Gates, система управления конфигурациями и потоками — SRE: нагрузочное тестирование на собственном движке Tsunami, способном давать более 100к order book’ов в секунду с e2e профилированием на всех этапах в Prometheus и Grafana, бесшовные релизы на baremetal и Kubernetes — R&D: продвинутый data science и quantitative анализ на собственной платформе QUBE, автоматизированные agent2agent quality gates — AI кодогенерация: агент-разработчик на базе Qwen Code, собственная инсталляция SOTA OS моделей и собственные эволюционные решения. Требования: — владение GenAI инструментами, включая кодинг-агентов и универсальных агентов (OpenClode, OpenCode, Gemini CLI, Cursor, OpenClow) — владение современным стеком .NET и сопутствующими технологиями, понимание принципов SOLID и способность вести разработку в соответствии с ними — экспертиза в обработке параллельных и асинхронных задач — экспертиза в разработке эффективного zero-allocation кода — понимание, как работает CLR «под капотом» — экспертиза в разработке решений с реляционными базами данных — умение работать как в команде, так и автономно — активность и инициативность — умение применять принципы DRY / KISS / YAGNI на всех этапах командной работы — понимание SRE практик, способность переключаться между задачами Условия: — комфортный современный офис в Москве, Вавилова 19 — гибридный формат работы — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — система обучения для профессионального и карьерного развития — расширенный полис ДМС с первого дня работы и страхование для семьи — программа ипотеки для сотрудников — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Поддерживать инфраструктуру на bare metal и виртуальных машинах. — Разворачивать и обслуживать кластеры Kubernetes. — Администрировать базы данных: PostgreSQL, Elasticsearch, Redis, Clickhouse. — Сопровождать Airflow и другие инфраструктурные сервисы (GitLab, Harbor, Vault). — Автоматизировать процессы (Ansible, Terraform, Flux). — Настраивать и поддерживать мониторинг (VictoriaMetrics, Grafana). — Заботиться о стабильной работе сервисов. — Вести техническую документацию — понятно и по делу. Требования: — Уверенное владение Linux (Debian/Ubuntu), понимание сетевого стека и принципов контейнеризации. — Опыт развёртывания и сопровождения продуктовых кластеров Kubernetes. — Умение автоматизировать инфраструктуру с помощью Ansible и Terraform. — Знакомство с GitOps-подходом (FluxCD или ArgoCD). — Навыки настройки мониторинга и логирования (Grafana, Prometheus, ELK Stack, Sentry, VictoriaMetrics). — Опыт построения CI/CD на базе GitLab CI. Условия: — Зарплата, соответствующая опыту, и прозрачная система мотивации. — Оформление по ТК РФ: белая зарплата, отпуска, больничные. — Возможность прикрепиться по ОМС к ведомственной клинике рядом с офисом. — Гибридный график 5/2 с плавающим началом дня. — Современный комфортный офис (м. Щукинская). — Бронь от призыва для военнообязанных сотрудников. — Поддержка профессионального развития: участие в конференциях и профильное обучение за счет компании. — Работа на стыке науки и современных технологий — Big Data и ML в продуктовой среде.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia As our business grows, and as AI is improving, we need fewer, better building blocks: less per-team glue, more self-service capabilities every team builds on, so engineers spend their time on customers instead of plumbing. This is platform engineering at Arcadia. The role could just as well be titled Developer Platform, DevEx, DevProd, or SRE. Arcadia builds and operates the petabyte-size lakehouse, and the client-facing applications that run on Kubernetes. The role will span both, reporting directly to the engineering VP. What Success Looks Like Arcadia engineers and their agents rely on platform building blocks, from services and pipelines to databases, queues, and storage, that come wired in with logging, metrics, tracing, alerts, encryption, access controls, backups, and cost tags, with sensible defaults. Teams change their own pipelines, environments, alerts, and SLOs. When something breaks, the owning team sees it first, traces it to the change that caused it, and rolls it back themselves. They see their own delivery numbers and cloud spend, and act on them. Platform upgrades reach them as a merged pull request, not a checklist. Engineers take the paved road because it's the fastest way to production, and platform engineers spend their time building capabilities, not working tickets. What You'll Be Doing Push quality attributes into the platform, especially as AI increases the volume of changes: test and regression gates, progressive delivery and fast rollback, supply-chain and policy checks in the pipeline, and cost that's visible and attributable to the teams. Run the platform as a curated internal product : find what slows teams down, pick the few capabilities worth building, publish the roadmap, and measure adoption, delivery speed, stability, and developer satisfaction. Build software : self-service APIs, templates, and golden paths for CI/CD, environments, and observability, so teams get what they need without waiting on anyone. You write a meaningful share of the code. Carry migrations : track usage, automate instead of handing out checklists, push through the final 20%, and sunset. Manage the platform's stakeholders : say yes with compromises, say no without breaking trust, bring shadow platforms back onto the paved road, and make cost visible to the teams that generate it. Set the technical direction and evolve the platform, and coach Senior Engineers through design partnership and review. Keep building out our software "dark factory" on top of our internal agentic platform - we should be offloading more and more to it over time. What You'll Bring Both halves of platform engineering: a software engineer 's instinct for clean abstractions and APIs, and a systems engineer 's depth in cloud, Kubernetes, networking, and IaC. Reliability you've owned: SLOs, observability, on-call, and incident response. Customer empathy : you talk to the engineers you serve, tell a real need from a loud request, and retire what nobody uses. Big, long-running projects you've seen through: migrations pushed past the final 20%, platforms sunset on purpose, and the attention to detail both require. A clear philosophy on structuring infrastructure and delivery for security, velocity, and reliability, and the stories behind it. Current, hands-on production coding , the habit of figuring things out (research, spike, deliver), and relentless pragmatism about what's worth building. Drive to reduce toil for everyone through software. Ability to initiate and get stuff done org-wide . No healthcare background required. Would Love for You to Have Regulated -data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. Experience turning an infrastructure or DevOps team into a product-minded platform team . Experience building platform support that scales : support tiers, office hours, docs, and developer advocacy. Experience making cloud and CI cost visible and actionable for the teams that generate it. What You'll Get The opportunity to own Arcadia's platform and to set its direction for years. Direct influence on how Arcadia's engineering org works on daily basis; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart , named a Built In 2026 Best Place to Work. Work that shows up in patients' lives . About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Remote, Canada; Remote, United States 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. An overview of this role As Director of Engineering, Database Excellence, you will lead the Database Excellence stage and report to the Vice President of Data Engineering, in our Engineering department. You will set the direction for the databases that support GitLab.com, self-managed GitLab, and GitLab Dedicated. Your organization owns the reliability, capacity, health, and sustainability of GitLab's application datastores, with PostgreSQL as the primary focus alongside Redis, OpenSearch, ClickHouse, and object storage. You will be accountable for database capacity and availability on GitLab.com. You will guide long-range platform decisions while partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. The work includes reducing infrastructure costs, improving data growth controls and saturation detection, standardizing database services, rebuilding the self-managed upgrade experience, and contributing to GitLab's company-wide datastore strategy, including Cells partitioning. Learn more in the Database Excellence handbook . What you’ll do Set direction and long-range plans for the database platform in line with company strategy. Own database capacity and availability outcomes for GitLab.com, and communicate database risk to senior leadership. Lead and coach three Engineering Managers and develop Staff-plus engineers into leaders. Drive cross-division technical decisions using data, partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. Partner with Product to prioritize database platform investments and make infrastructure tradeoffs in the context of product outcomes. Own the hiring plan, organization design, retention, and performance management for teams across regions. Set quarterly objectives and key results and engineering key performance indicators for the stage, and manage the database infrastructure budget with FinOps. Serve as an escalation point for database incidents, standardize effective processes, and keep the handbook current. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience leading managers of managers, including coaching newer managers. Experience working hands-on with PostgreSQL at scale, including capacity planning, upgrades, replication, performance, and large production clusters. Experience using data to make strategic technical decisions and connect database platform investments and tradeoffs with product outcomes. Experience supporting software that customers run themselves, or working through the self-managed upgrade challenge. Experience leading backend engineering teams that own production infrastructure, applying site reliability engineering practices including service level objectives, on-call operations, incident management, cost management, and automation. Experience communicating clearly in writing in an asynchronous, handbook-first company. Experience leading globally distributed remote teams. Experience with Redis, ClickHouse, OpenSearch, object storage, Google Cloud Platform, Kubernetes, Terraform, Chef, managed database services, FinOps, AI-assisted engineering workflows, or platform and infrastructure organizations is a plus. About the team Database Excellence includes Database Architecture, Database Automation, and Self Managed Database. Three Engineering Managers lead these teams, alongside an Operations Manager. Our teams work across the United States, Europe, the Middle East, Africa, and India. Database Architecture provides datastore guidance, data growth controls, and the database review process. Database Automation builds PostgreSQL fleet automation, upgrades, provisioning, health monitoring, and an internal managed PostgreSQL offering. Self Managed Database is rebuilding the upgrade and migration experience for self-managed GitLab. Together, we make database services more reliable, sustainable, and easier to operate across GitLab's deployment models. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $230,400 — $345,600 USD 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Проектирование и разработка backend-сервисов на Go — Участие в проектировании архитектуры систем и принятии технических решений — Разработка и поддержка API (REST/gRPC) и интеграций с внешними сервисами — Оптимизация производительности и надежности высоконагруженных сервисов — Работа с базами данных и очередями сообщений — Код-ревью, менторинг middle-разработчиков, участие в формировании стандартов разработки Требования: — Коммерческий опыт разработки на Go от 4 лет — Глубокое понимание конкурентности в Go (goroutines, channels, context) — Опыт проектирования микросервисной архитектуры — Уверенная работа с PostgreSQL, понимание индексов и оптимизации запросов — Опыт работы с брокерами сообщений (Kafka/RabbitMQ/NATS) — Опыт работы с Docker, Kubernetes, CI/CD — Опыт написания тестов (unit, интеграционные) Будет плюсом: — Опыт работы с ClickHouse / Redis — Опыт настройки мониторинга (Prometheus, Grafana) — Опыт интеграции LLM/ИИ-сервисов в backend — Опыт работы в аутсорс/аутстафф формате Условия: — Полная занятость (fulltime), удаленный формат работы — Заработная плата от 350 000 ₽ в месяц — Участие в технологических ИИ-проектах — Прямая коммуникация с техническим руководством без бюрократии — Реальное влияние на архитектуру и технические решения

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Группа компаний «Арт-Финтех» ищет Senior Python Developer. Компания — международный поставщик банковских программных решений, более 20 лет на рынке. Требования: — Гражданство и локация РФ — Высшее образование: ИТ, техническое, математическое — От 2 лет в роли Python-разработчика — Опыт работы с системой контроля версий Git — Глубокое владение Python 3.11+: GIL, оптимизация и профилирование, асинхронность (asyncio), типизация — FastAPI (Pydantic) и/или Django (DRF) — проектирование сервисов — Проектирование REST API, контракты OpenAPI/Swagger — Оптимизация SQL-запросов, PostgreSQL, миграции (Alembic) — SQLAlchemy — Тестирование: pytest — обязательное; построение пирамиды тестирования, интеграционные тесты — Управление зависимостями: pip / poetry / uv — Знание принципов и архитектуры web-сервисов и REST API — Проектирование микросервисных решений — Уверенная работа с Docker (включая docker-compose) — Kubernetes — плюс — Опыт работы с брокерами сообщений (Kafka/RabbitMQ) — плюс — Анализ логов, сквозная трассировка (distributed tracing), конфигурирование мониторинга и алертинга — Настройка пайплайнов CI/CD: GitLab CI — Опыт работы по Scrum/Kanban — Навыки наставничества — Английский B1: чтение технической документации, деловая переписка Условия: — Full-time, 5/2 — Вилка заработной платы: до 250к рублей на руки

Requirements: — 4–5+ years of AI/ML or Data Science experience — Advanced Python, SQL, and ML experience — Hands-on experience with LLMs, RAG, embeddings, and transformers — Experience with PyTorch/TensorFlow, Hugging Face, LangChain or LlamaIndex — Experience with vector databases such as Pinecone, FAISS, Milvus, or OpenSearch — MLOps experience with Docker, Kubernetes, MLflow, and CI/CD — AWS and production AI/ML deployment experience The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment. The position is fully remote, with full-time or contract options.

Требования к специалисту: — Коммерческий опыт в DevOps или SRE от 4 лет. — Реальный опыт проектирования и построения инфраструктуры с нуля. — Опыт эксплуатации Docker Swarm в production. — Уверенное знание и production-опыт Kubernetes. — Опыт настройки GitLab CI/CD, раннеров и пайплайнов для фронтенда и бэкенда. — Понимание сетевой модели и проксирования через Nginx. — Опыт эксплуатации Percona XtraDB Cluster / Galera в production: кворум и split-brain, SST/IST, bootstrap после падения, бэкапы через Percona XtraBackup. — Опыт работы с Docker, PostgreSQL, Redis и S3-совместимым хранилищем. — Опыт настройки Prometheus, Grafana, Loki и Zabbix. — Готовность участвовать в архитектурных решениях, работе с командами разработки и технических переговорах с подрядчиками. Задачи: — Спроектировать и развернуть инфраструктуру продукта с нуля. — Настроить CI/CD пайплайны для фронтенда и бэкенда. — Поднять и сопровождать кластер Docker Swarm и процессы деплоя. — Спроектировать и провести миграцию на Kubernetes после завершения переезда. — Администрировать Percona XtraDB Cluster: отказоустойчивость, бэкапы и восстановление. — Настроить мониторинг, алертинг и логирование. — Работать с командами разработки и участвовать в технических переговорах с подрядчиками.

Location: United States (Remote); Seattle, Washington; San Francisco, California Workplace: Remote ROLE SUMMARY Temporal is looking for a Software Engineer II to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We’re looking for an engineer who is excited to learn the system, contribute to new and/or ambiguous projects across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal over time. This is a hands-on engineering role where you’ll collaborate with experienced engineers to design, build, and operate components of Temporal’s distributed systems platform while growing your skills in distributed systems engineering. WHAT YOU'LL DO • Design, implement, test, and ship well-scoped features and improvements for the Temporal server with support from teammates. • Work on distributed systems problems in areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. • Make thoughtful engineering tradeoffs with guidance, balancing developer experience, performance, and operability requirements. • Partner with engineers, product managers, cloud teams, and customer-facing teams to understand requirements and deliver scalable solutions. • Improve the reliability and operability of the server by adding tests, instrumentation, dashboards, alerts, runbooks, and documentation. • Participate in design discussions and code reviews to learn best practices and contribute to a high-quality codebase. • Contribute to improving the developer experience for open source users and enterprise customers through incremental improvements and bug fixes. • Share knowledge with teammates and contribute to a collaborative engineering culture. WHAT YOU'LL BRING • Experience building and operating production backend systems (distributed systems experience and concurrency experience). • Strong computer science fundamentals, including concurrency basics, data structures, and debugging. • Experience writing production-quality code in Go, Java, or another applicable backend language, with an emphasis on correctness and maintainability. • Familiarity with core distributed systems concepts (e.g., fault tolerance, consistency tradeoffs, replication, scheduling, performance), with interest in deepening these skills. • Ability to break down ambiguous problems into smaller tasks, ask good questions, and incorporate feedback from code review. • Comfort working collaboratively across teams and communicating progress, risks, and tradeoffs clearly. • Experience with testing practices and an operational mindset (logging, metrics, tracing, on-call empathy) is a plus. • Experience with open source software or communities is a plus. • Experience with AWS, Azure, or GCP is a plus. • Exposure to technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. • Exposure to Kubernetes or related tooling (CRDs, KEDA, Argo) is a plus. WHAT MAKES YOU A GOOD FIT • You’re excited to continue building and deepening your distributed systems expertise. • You enjoy learning large, complex codebases, think critically, thrive in ambiguity, and enjoy solving challenging problems. • You take ownership of your work, follow through, and collaborate well with teammates. • You balance technical depth with practical engineering decisions and are comfortable iterating toward better solutions. • You don’t need prior Temporal experience—you’re excited to work on the core of a distributed system used by a large open source community and enterprise customers. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Задачи: — Разработка backend‑сервисов на Go для IaaS/PaaS‑платформы — Проектирование и разработка биллинга: учет потребления ресурсов, тарифы, списания, балансы, инвойсы, ЭДО, интеграция с внешними системами — Реализация quota/resource management: лимиты CPU/RAM/storage/network, tenant/project quotas — Проектирование API и внутренних сервисных контрактов — Работа с PostgreSQL и ClickHouse — Проектирование архитектуры и участие в архитектурных решениях Требования: — Опыт коммерческой разработки на Go — Понимание предметной области IaaS/PaaS, биллинга, квот и учета ресурсов — Опыт и понимание PostgreSQL, timescaledb/ClickHouse для проектирования масштабных систем — Опыт с sqlc или аналогичными typed SQL‑подходами — Понимание Kubernetes и облачной инфраструктуры — Опыт написания операторов/контроллеров для Kubernetes — Опыт работы в облаках, хостинге или телекоме — Знание систем мониторинга: Prometheus, VictoriaMetrics — Знание OpenTelemetry — Умение брать ownership, предлагать и защищать архитектурные решения Условия: — Интересный инфраструктурный продукт и прямое влияние на архитектуру — Отсутствие бюрократии — Оформление: ТК РФ или индивидуальное решение для проживания вне РФ — Полная занятость (full‑time)

Задачи: — проектировать архитектуру приложений: backend, frontend, базы данных, API и интеграции — декомпозировать крупные задачи и проекты до понятных этапов и оценивать трудозатраты — разрабатывать backend на Node.js / TypeScript и frontend на React — проектировать REST API, интеграции и модели данных — работать с PostgreSQL, при необходимости Redis, MongoDB, очередями сообщений — принимать технические решения с учётом производительности, масштабируемости, отказоустойчивости и безопасности — проводить Code Review и отвечать за качество технического результата — писать и контролировать Unit/Integration-тесты — работать с Docker и CI/CD — участвовать в релизах, разбирать production-проблемы, работать с логированием и мониторингом — создавать PoC для проверки технических гипотез — взаимодействовать с заказчиком и уметь объяснять технические решения понятным бизнес-языком Требования: — коммерческий опыт разработки от 5 лет — сильные знания TypeScript, Node.js, React, PostgreSQL — практический опыт проектирования систем целиком, а не только frontend-архитектуры — понимание System Design: монолитная и микросервисная архитектура, API, базы данных, очереди, кэширование, интеграции — умение работать с нефункциональными требованиями: производительность, нагрузка, масштабируемость, отказоустойчивость, безопасность и observability — опыт с Docker и CI/CD — опыт Code Review, Unit и Integration Testing — умение самостоятельно декомпозировать задачу и оценивать разработку в часах — опыт запуска решений от требований до production — самостоятельность в работе с бизнес-задачами: разбор требований, постановка вопросов, предложение архитектуры, оценка рисков и трудозатрат, организация разработки и доведение результата до production — умение работать с AI-инструментами (Claude Code, Codex, Cursor, GitHub Copilot или аналогичными) — декомпозиция больших задач для AI-агентов, постановка контекста, правил, инструкций — использование AI для разработки, тестов, Code Review, документации, рефакторинга и анализа legacy — организация работы нескольких AI-агентов с разными ролями — проверка и принятие сгенерированного кода, а не слепое доверие AI — понимание ограничений LLM: галлюцинации, потеря контекста, переусложнение решений, ошибки в архитектуре, потенциальные проблемы безопасности — сохранение персональной ответственности за технический результат независимо от участия AI Будет плюсом: — знание Kubernetes — опыт с Redis, Kafka / RabbitMQ, MongoDB — опыт с Prometheus, Grafana, Sentry — опыт работы с высоконагруженными системами — опыт сложных интеграций с внешними системами — участие в пресейле и технической оценке новых проектов — опыт технического лидерства или наставничества разработчиков Условия: — полная занятость — оформление по трудовому договору, договору ГПХ с самозанятым, с ИП или с физлицом — график 5/2 — удалённый формат работы

Задачи: — Разрабатывать и развивать высоконагруженные сервисы и платформенные решения на Python — Проектировать и улучшать архитектуру продуктов вместе с командой — Оптимизировать производительность сервисов и автоматизировать процессы разработки — Работать с базами данных, распределёнными системами и современными инструментами разработки — Участвовать в code review, обсуждении технических решений и развитии инженерных практик — Влиять на развитие продуктов на всех этапах — от проектирования до сопровождения Требования: — Знание Python и понимание принципов его работы — Опыт участия в code review — Понимание многопоточности и асинхронного программирования — Умение писать читаемый и поддерживаемый код — Опыт работы с базами данных и понимание принципов их работы — Знакомство с инструментами наблюдаемости: логирование, метрики, трасировка — Понимание принципов ООП, SOLID и основы функционального программирования Преимущества: — Опыт проектирования распределённых систем и работы с Kubernetes — Опыт внедрения AI-решений в продукты или интерес к AI, LLM и RAG — Участие в улучшении процессов разработки и развитии продуктовых решений

Location: Malta We are seeking a skilled Connectivity and Cloud Architect to join our Infrastructure area. You will design, implement, and maintain robust network architectures across hybrid on-premise and AWS cloud environments, with a strong focus on routing (BGP), connectivity, and DNS architecture, working closely with our Enterprise Architect, infrastructure, and network teams to ensure seamless integration and optimal performance across all systems. A taster of what you will be involved with: Network Architecture Design: Design and develop scalable, secure network architectures across hybrid on-premise and AWS cloud environments, including routing, connectivity, and integration patterns. AWS Network Architecture: Lead design and implementation of AWS networking components, including Transit Gateways, VPC connectivity, ACLs, Network Firewalls, Cloud WAN, and Route 53. Hybrid Connectivity: Design and manage AWS Direct Connect and Site-to-Site VPN architectures linking on-premise and cloud environments. Routing and BGP: Design, implement, and maintain complex routing architectures leveraging advanced protocols such as BGP and OSPF to ensure resilient, performant connectivity. DNS Architecture: Design, implement, and maintain DNS architecture across on-premise and cloud environments, ensuring scalability, resiliency, and security. Disaster Recovery Network Design: Design and maintain resilient network architectures supporting disaster recovery and business continuity. Network Management: Oversee configuration, management, and optimisation of network devices (routers, switches, firewalls, VPNs), ensuring network security and compliance with best practices. Automation and Tooling: Use Git, Terraform, Bash, and Ansible to automate and manage infrastructure and network configuration as code. Collaboration and Communication: Work with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment with business objectives. Documentation and Best Practices: Develop and maintain documentation, diagrams, and SOPs for network and cloud architectures, promoting industry best practices and compliance. What we are looking for: Education: Bachelor's degree in Computer Science, Information Technology, or a related field 3+ years of proven experience as a Systems Architect, Network Architect, Cloud Architect, or similar role in a complex IT environment Strong understanding of AWS Cloud security and infrastructure security, including network and server security Relevant certifications (e.g., AWS Certified Advanced Networking – Specialty, AWS Certified Solutions Architect, CCNP) are a plus Work Experience: Strong expertise in designing and implementing hybrid (on-premise and cloud) network architectures Strong, hands-on AWS network experience, particularly with Transit Gateways, ACLs, Network Firewalls, Cloud WAN, VPC connectivity, EKS networking, and Route 53 Hands-on experience with AWS Direct Connect and VPN Gateway architectures for hybrid connectivity Experience designing and implementing complex routing architectures, leveraging advanced protocols such as BGP and OSPF Strong knowledge of DNS architecture design, implementation, and management across on-premise and cloud environments Experience designing disaster recovery and business continuity network architectures Experience with load balancing technologies (e.g., AWS ALB/NLB or equivalent on-premise solutions) Experience with network monitoring and observability tooling (e.g., VPC Flow Logs, CloudWatch, NetFlow) Working knowledge of IPv6 In-depth knowledge of networking protocols, security principles, and best practices Strong familiarity with Git, including branching, automation workflows, and merging strategies Excellent skills in Terraform, Bash, and Ansible Strong background in Linux administration Understanding of microservice design and architectural patterns Experience with Kubernetes/EKS networking, including CNI plugins and service mesh In-depth knowledge of on-premises infrastructure, including servers, SAN/NAS storage devices, fibre channel networks, and backup infrastructures Proficiency in Active Directory administration, including domain management, group policies, LDAP, and SAML integrations Familiarity with virtualisation technologies (VMware, Hyper-V, etc.) and containerisation (Docker, Kubernetes) Excellent analytical, problem-solving, and decision-making skills Strong communication and interpersonal abilities, with a collaborative mindset Other Requirements: Proven practical communication skills (written and verbal) to articulate platform architecture to other Architects (Area and Enterprise), Area Product Managers, and technical teams Adherence to best practices in documentation, testing, security, and efficient use of resources Experience with identity solutions Awareness of relevant regulatory and compliance frameworks (e.g., PCI-DSS, ISO 27001) as they apply to network and infrastructure security What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Bulgaria; Croatia; Hungary; Lithuania; North Macedonia; Poland; Slovakia 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. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland,Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) 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. 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. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding 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

Проект: Мы разрабатываем и поддерживаем продукт ERA - систему комплексной диагностики продуктов и услуг. Наше решение позволяет производить диагностику, анализ и аудит продукта для получения комплексного решения развития, снятия барьеров роста. Цель проекта — построить полностью автономную экспертную систему, где ключевую роль играют смарт-агенты, выполняющие комплексный анализ без участия человека. Технологический стек: Язык программирования: Python 3.12+ Фреймворки: FastAPI, LangChain / LangGraph, FastStream Базы данных: PostgreSQL, Redis Очереди: Kafka, RabbitMQ Поиск и аналитика: Opensearch, Elasticsearch CI/CD: Jenkins, Nexus, BitBucket, SonarQube Инфраструктура: OpenShift (Kubernetes), DropApp, Docker Управление: Jira, Confluence Требования: Высшее профильное образование Опыт коммерческой разработки на Python от 4 лет (по ТК РФ) Уверенное знание Python 3.7+ (в проекте используется 3.12+) Понимание и успешный опыт применения паттернов проектирования (GoF, SOLID, GRASP) Опыт проведения код-ревью и работы по GitFlow Опыт разработки агентных систем с помощью langchain, langgraph и успешное внедрение в промышленную среду Опыт разработки приложений, основанных на микросервисной архитектуре Уверенное знание SQL и понимание принципов работы реляционных СУБД (PostgreSQL) Опыт написания unit-тестов Опыт разработки асинхронных приложений на Python Понимание жизненного цикла разработки приложений в контексте Agile Важно: Опыт и желание работать в команде, умение аргументировать свои решения и договариваться Задачи: Разработка co-pilot решения на базе данных RAG и применении LLM Разработка и интеграция AI-агентов, исследование новых поверхностей взаимодействия с AI Разработка микросервисов на Python в качестве MCP инструментов Анализ требований, формализация функционала, проектирование архитектуры взаимодействия агентов и сервисов Участие в планировании, декомпозиции задач и оценке сложностей, планировании спринтов на основе SCRUM церемоний Проведение код-ревью, поддержание высокого стандарта качества и чистоты кода Тесное взаимодействие с командой на всех этапах разработки Участие в подготовке и выпуске релизов, взаимодействие со смежными подразделениями Документирование своей работы и менторство джуниор-разработчиков Условия: Возможность участия в интересном проекте Возможность профессионального и карьерного роста в компании Опыт работы в команде профессионалов Уровень заработной платы обсуждается индивидуально Формат работы - офисный формат в Москве на период ИС, далее возможен гибрид