Вакансии

- Развитие и устранение дефектов CI/CD pipeline продукта; - Адаптация CI/CD pipeline продукта на новые продукты;

Location: Москва В кластере мониторинга корпоративного портфеля Блока "Риски" открыта вакансия Senior DS (LLM & AI Agents). Ищем специалиста, способного проектировать эффективные LLM-решения для мониторинга кредитных рисков средних и крупных компаний в портфеле Сбера, формулировать и тестировать гипотезы их улучшения, разработать систему модельных и бизнес-метрик, писать код для внедрения в промышленный процесс. Обязанности * разработка мультиагентной системы мониторинга корпоративных клиентов * построение llm evals suite для контроля качества работы системы * построение RAG: сбор данных, настройка hybrid search, reranking * интеграция с другими агентами (A2A) и сервисами. Требования * опыт разработки и внедрения LLM-based решений и AI-агентов: от прототипирования до промышленной эксплуатации * опыт разработки в фреймворках: LangChain, LangGraph * опыт решения прикладных задач с использованием RAG, tool calling, structured output, multi-step reasoning и agentic workflows, включая интеграцию с корпоративными данными и сервисами * опыт применения асинхронного и многопоточного программирования (aiohttp, asyncio, multiprocessing) * знание классического ML (scikit-learn, pandas, scipy), основ математической статистики * владение git, SQL, bash. **Будет плюсом**: * опыт работы в финансовых организация и знание доменной области (кредитные риски) * опыт работы с Kubernetes, понимание принципов MLOps и CI/CD. Условия * работа в удобном и современном офисе недалеко от станции метро Кутузовская * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Senior -End / Full Stack Developer IT Вакансии Присоединяйтесь к международной компании, где вы будете проектировать API и микросервисы, развивать архитектуру платформы и интегрировать AI-решения. — Развивать архитектуру платформы под масштабирование;

QA JAVA mobile IT Вакансии В компанию KA Selecty требуется QA Engineer с опытом тестирования mobile/web приложений.

Разработка и развитие backend-сервисов на Python / Django; Проектирование и реализация новых функциональных модулей;

Задачи: — Поддержка и развитие крупных распределённых систем с высокой доступностью в банковской/финансовой сфере. — Автоматизация процессов с использованием CI/CD, Ansible, Docker/Podman, Kubernetes/OpenShift, Helm. — Обеспечение безопасности, управление патчами и поддержка продакшн-среды. Требования: — Опыт работы в инженерии/операциях не менее 7 лет, из них 5+ лет в DevOps. — Опыт работы в банковской или финансовой сфере. — Знание CI/CD инструментов: Jenkins, GitHub Actions, ArgoCD. — Опыт работы с Ansible, Docker, Podman, Kubernetes, OpenShift, Helm. — Владение Linux и Shell scripting. — Знание основ сетевых технологий. — Опыт работы в Agile среде. — Уровень английского языка не ниже B2. Будет плюсом: — Опыт CI/CD для Data Engineering или ML пайплайнов. — Глубокое понимание принципов DevOps, SRE, IaC и 12-Factor App. Условия: — Работа в офисе в Дубае 4 дня в неделю. — Возможность работать с передовыми технологиями в инновационной среде. — Динамичная и дружелюбная рабочая атмосфера. — Помощь компании с расходами на релокацию. — Медицинская страховка.

Location: Strava Denver Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE Strava's Core Services Platform teams build the scalable foundations behind the features athletes use most. We’re hiring for teams which build the foundational technology behind Strava features like the feed and photo/video sharing, as well as capabilities like experimentation and notifications. We're looking for a Staff Engineer to set the technical direction for this domain and act as tech lead for a small pod of engineers. This is a role for someone who wants to own the technical vision for how Strava's social features work under the hood. You'll drive major modernization efforts across critical services, partner with product teams to ensure platform capabilities are ready when they need them, and shape how we approach social platform development for years to come. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco or Denver office — three days per week. WHAT YOU’LL DO: - Set the technical direction for Strava's social platform services and build the roadmap that balances long-term architectural investments with near-term product delivery. - Act as tech lead for a small pod of engineers, facilitating team processes like quarterly planning, sprint ceremonies, and cross-team coordination. - Solve tough technical problems and lead small teams to execute those solutions, even if it means stepping outside your usual domain. - Drive modernization and migration efforts for critical platform services, evolving our stack to meet the needs of the product roadmap and Strava's growing athlete base. - Partner with product teams to inform the roadmap to proactively identify upcoming needs and have the right capabilities available at the right time. - Own a strategy for technical investment across the social domain, ensuring critical services meet reliability, performance, and cost standards. - Design, build, and review the systems that back Strava's most-used social features, working across Ruby, Scala, Go, MySQL, Redis, Cassandra, Kafka, and Kubernetes. - Mentor engineers on the pod and across the Strava tech team. WHAT YOU’LL BRING TO THE TEAM: - 10+ years of professional backend/server engineering experience, with a track record of setting technical direction. - Experience leading technical projects involving multiple engineers: scoping work, breaking it down, coordinating delivery across a team. - Experience acting as a tech lead, facilitating team processes and driving roadmaps. - Strong system design skills for distributed systems at scale: making architecture decisions, defending trade-offs, and thinking about how a system needs to evolve over multiple years. - Proficiency in at least one of Strava's backend languages (Ruby, Scala, Go, Java) with comfort picking up others. - Experience with distributed systems technologies like Kafka, Kubernetes, Docker, and cloud infrastructure (AWS). - Experience with relational and NoSQL databases in production (we use MySQL, Redis, and Cassandra). - A genuine interest in leading the team to prioritize the right work, and deliver it well. You’re interested in more than just putting your head down on an assigned project. We're not looking for 100% coverage on all of these — if you match most of them, we'd love to hear from you: - Experience with feed systems, social graphs, or recommendation/ranking systems. - Experience with large-scale system migrations (e.g., moving a critical service from one language/framework to another). - Familiarity with server-driven UI patterns. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, 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. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Развитие HR-платформы и внутренних сервисов. От 4 лет коммерческой разработки, из них от 2 лет на Go.

Location: Москва, RU; Россия О команде Наша команда развивает LLM Gateway — единую точку доступа к языковым моделям в Авито. Мы помогаем продуктовым командам быстро и безопасно получать доступ к подходящим моделям, управлять лимитами, видеть стоимость каждого запроса и отслеживать поведение моделей в продакшене. Какие задачи вас ждут: развивать LLM Gateway для Авито, чтобы создавать продукты с LLM было быстро и удобно; автоматизировать выдачу и настройку доступов к моделям; развивать управление потреблением LLM: рассчитывать стоимость LLM-вызова, настраивать бюджетные лимиты для клиентов и приоритеты; развивать динамическую балансировку трафика между LLM-моделями; определять SLA платформы и методику его расчёта, настраивать мониторинг и алёрты, поддерживать SLA; интегрироваться с платформой инференса, автоматизировать развёртывание моделей и открывать к ним доступ для пользователей в инфраструктуре Авито; тесно взаимодействовать с DS-инженерами, погружаться в работу LLM, следить за развитием индустрии и внедрять новые технологии. Мы ждём, что вы: имеете опыт технического лидерства в крупных направлениях с высокой степенью неопределённости: собирали требования, планировали работы, декомпозировали задачи, отвечали за реализацию и отслеживали результаты; имеете опыт поддержки критической высоконагруженной инфраструктуры: настраивали мониторинг и алёрты, участвовали в дежурствах 24/7; программировали на Python или Go от 5 лет; имеете опыт в MLOps или LLMOps: разворачивали и поддерживали инфраструктуру для автоматизации работы с ML- и LLM-моделями; понимаете основы работы LLM: чем prefill отличается от decode, зачем нужен KV-cache, что такое TTFT; умеете работать с задачами высокой неопределённости и выстраивать коммуникацию с командами. Будет здорово, если вы: работали с LLM API и LLM Gateway, например LiteLLM; создавали внутренние платформенные решения; работали с системами мониторинга LLM, например Langfuse, Opik и другими; создавали и поддерживали админки для внутренних пользователей; работали с Kubernetes и GPU; работали с DWH, например ClickHouse и Trino. Работа у нас — это: расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.

Location: PL Workplace: remote Overview: Infrastructure engineering with security embedded across the entire technology stack, including CI/CD, Kubernetes, cloud environments, secrets management, and access control. Key responsibilities: Core Responsibilities Integrate security checks into CI/CD pipelines, including dependency, container image, Infrastructure as Code (IaC), and secret scanning Harden servers, Kubernetes clusters, and cloud environments in accordance with CIS benchmarks Manage secrets, certificates, and the PKI lifecycle using Vault Manage access control (SSO, IAM, least privilege) and conduct regular access reviews Track and remediate vulnerabilities, coordinating patching activities across development and infrastructure teams Support security incident investigations, incident response, audits, and compliance activities Enforce Kubernetes runtime and policy security, including RBAC, network policies, Pod Security Standards (PSS), and Kyverno/OPA Infrastructure Responsibilities Set up and maintain production and staging infrastructure, including updates and incident resolution Improve infrastructure setup and maintenance processes Support and develop GitLab CI pipelines Contribute to the design of complex IT systems Collaborate with product development teams and stakeholders Handle monitoring events, including periodic day and night on-call duties Required Experience: 3+years of experience as a System Engineer, SRE, or DevOps Engineer Solid Linux administration and troubleshooting skills Experience with configuration management tools such as Ansible, SaltStack, Terraform, or Pulumi Experience with Kubernetes and Helm Experience configuring GitLab CI/CD pipelines Experience with Anti-DDoS solutions, WAF, and WAAP (Cloudflare, Fastly, Akamai, etc.) Experience with monitoring tools (Prometheus stack, Zabbix) Strong understanding of information security fundamentals, including least privilege, defense in depth, network security, and TLS/PKI Experience with secrets management solutions such as HashiCorp Vault or similar Strong problem-solving skills Higher technical education English level B1+ and strong command of Russian Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Предстоит с нуля построить инфраструктуру, развернуть и сопровождать Docker Swarm, настроить CI/CD, а после миграции продукта — перейти на Kubernetes.

We are seeking a Senior DevOps Engineer to join a global fintech organization, working remotely within UTC+2 to UTC+4 time zones. The role involves developing and managing existing infrastructure and CI/CD pipelines utilizing GitLab CI and ArgoCD, supporting application deployments across testing and production stages, and implementing monitoring and logging systems to assist in incident analysis. Candidates should have over seven years of experience in DevOps, with strong practical skills in AWS SDK, Kubernetes, Docker, and Terraform. Familiarity with Helm, GitOps, and monitoring solutions is required, along with solid knowledge of Linux, networking, and scripting in Shell or Python. Proficiency in English at the C1 level is necessary. Additional experience in DevSecOps, Ansible, or Go is considered advantageous.

Location: Perm; Moscow Workplace: hybrid 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. THE ROLE We are hiring a Tech Lead, Parental Controls. You will build the team and the service that checks a player's age and gets a parent's consent before a child can buy. This is a coding role. You write production code at least half of your week, you make the architecture decisions, and you hire the engineers who build this with you. Responsibilities WHAT YOU WILL DO Write production Go and TypeScript: the status API, token validation, consent rules, the standalone widget and the web SDK Own the architecture and write it down Hire and grow a team of about six backend, frontend and QA engineers: write the role profiles, run the interviews, onboard each person Set up how the team works: code review, CI, releases, on-call, AI coding tools in the repositories Keep children's data safe: token validation, consent records, no decision from a result that only the browser reports Work with Legal, Security teams on requirements, dependencies and release gates WHAT YOU WILL WORK WITH Go, go-kit, gRPC and REST, PostgreSQL, Redis, RabbitMQ, Temporal; TypeScript with Angular and React; OpenTelemetry and Datadog; Docker, Kubernetes, GitLab CI; a third-party age-verification and consent vendor. REQUIRED 7+ years in software engineering, Go as your main language for the last 3+ years. You still write and ship code 2+ years as a tech lead or team lead of 4+ engineers, with hiring experience: you have built a team or a large part of one Backend depth: API design, PostgreSQL, message queues, idempotent integrations with third-party APIs, workflow orchestration (Temporal or similar) TypeScript: enough to review React or Angular code and design a small embeddable web SDK Security basics for identity flows: JWT, OAuth2, webhook signatures, XSS, CSRF, CSP Operations: Docker, Kubernetes, CI/CD, tracing and metrics, on-call for a service you own Daily use of AI coding tools (Claude Code, Codex, Cursor), including their setup for a repository English at B2 or higher 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. EMPLOYMENT DETAILS Location: Perm or Moscow, hybrid Employment Type: Full-time Schedule: 10:00-19:00 (flexible) Contract: Employment agreement EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Tbilisi, Georgia Workplace: none TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team The HUB SRE team is responsible for the reliability of the most critical and high-load services in the market data delivery layer, which carries real-time and historical data from data feeds to clients. We are migrating HUB services to Kubernetes with Argo CD/Helm and turning repeatable work into automation and self-service. It is a great time to join and help shape how we work. Responsibilities Build deep expertise in how HUB behaves as a system and engineer the risks away. This covers the data path, its dependencies, failure modes (shard loss, warm-ups, streaming lags, reconnect storms, cascading failures), performance bottlenecks and single points of failure. Define SLIs based on what HUB clients actually experience, work with development teams to agree on SLOs, and build the dashboards that track them. The goal is to make reliability measurable and manageable. Build and maintain HUB monitoring rules for every service: SLO-based alerts, alert routing by team and service labels, escalation paths, and requirements for metrics and logs. Get rid of noisy alerts and close monitoring blind spots. Migrate HUB services to Kubernetes and Argo CD. This includes stateful streaming services that must not drop client connections: graceful draining, controlled reconnects, warm-up, readiness checks and local storage. Join design reviews, run Production Readiness Reviews, review rollout changes for reliability impact. Prepare and run disaster recovery drills for HUB Take part in the weekly on-call rotation: respond to incidents, run blameless postmortems, see action items through and eliminate recurring causes. Work with the code of HUB services to fix reliability issues together with dev teams, using AI-assisted tools. What makes you the perfect fit Proven experience as an SRE or Production Engineer running high-load production systems A strong technical background in backend systems, Linux, networking and distributed systems. Production experience with Kubernetes (probes, graceful shutdown, resource management, stateful workloads), Helm, and GitOps with Argo CD or similar. Experience building observability: monitoring, alerting, distributed tracing and informative dashboards (Prometheus, Alertmanager, Grafana, OpenTelemetry) A solid understanding of CI/CD and safe delivery for complex multi-service systems: staged rollouts, canary checks and automatic rollback Hands-on incident management: on-call, structured response, blameless postmortems and systemic improvements after incidents Excellent communication skills and the ability to influence other teams without formal authority Will be a plus Experience with real-time streaming and long-lived connections: graceful draining, mass reconnects, backpressure. Performance engineering: profiling, load testing, bottleneck analysis. Infrastructure-as-Code tools (Terraform, Ansible, Puppet). Experience with Go. Production experience with PostgreSQL, Kafka, ClickHouse. What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

-Участие в проектировании технических решений и проработке интеграционных сценариев совместно с аналитиками и командой разработки. -Самостоятельная реализация задач в рамках согласованных технических решений.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Администрирование ОС Linux; Установка, настройка, обновление и обслуживание серверов;

Location: Нижний Новгород Прикладные банковские сервисы для обслуживания юридических лиц – это распределенная система, состоящая из большого количества бизнес-сервисов и модулей. Команда сопровождения создает и поддерживает стенды в рабочем состоянии, разбирает сложные интеграционные проблемы, занимается автоматизацией обновления на полигонах, а также построением пайплайна доставки дистрибутивов от разработки до промышленной среды, облачной инфраструктуры. Присоединяйся к команде профессионалов, используя лучшие практики, новейшие продукты и современный технологический стек. Используемый стек технологий: Приложения на основе Java E2E. Менеджеры очередей (Apache Kafka). Сервера приложений (IBM WAS). Системы хранения (Oracle DB, PostgreSQL). DevOps (Jenkins, Git, Ansible, и т.д.). Системы мониторинга (Zabbix, ELK, Grafana, Splunk). Облачные технологии, системы виртуализации, контейнеризации (VMWare, OpenStack, Kubernetes, Docker, OpenShift). Скриптовые языки (Bash, PowerShell, Python). Обязанности * администрирование тестовых и промышленных сред, предоставление сервиса, соответствующего SLA/TLA/OLA * автоматизация процессов сопровождения * настройка и анализ результатов мониторинга, проработка предложений по улучшению производительности и надежности систем * планирование и выполнение регламентных работ на тестовых и промышленных стендах, проведение приемо-сдаточных испытаний (ПСИ) и внедрений новых версий ПО * участие в оперативном устранении инцидентов, поиске корневых причин, выявлении проблем и выработке мероприятий для предотвращения нештатных ситуаций в работе сервисов. Требования * высшее техническое образование * знание архитектуры сложных клиент-серверных автоматизированных систем * опыт написания SQL запросов (СУБД Oracle DB, PostgreSQL) * знания основ сетевых технологий, серверных операционных систем \*nix-линеек на уровне пользователя * знание основ ITSM * опыт выстраивания коммуникаций со смежными подразделениями * навыки анализа логов и умение выстраивать цепочки взаимодействия. Будет плюсом: * опыт работы с системами управления конфигурациями (Ansible, Chef, Puppet, Salt) * опыт автоматизации: написание скриптов на Jython/Python, bash, PowerShell, навыки работы с Jenkins * опыт работы и настройки мониторинга с помощью Grafana, Splunk, Zabbix, ELK, Prometheus * знание методологии ITSM/ITIL и терминологии SLA/TLA/OLA. Условия * комфортный современный офис в Нижнем Новгороде (Ак.Сахарова 2) * формат работы – офис * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.