Вакансии

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform - Remove barriers to adoption so customers achieve their desired outcomes expediently - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions - Oversee renewals and forecasting, ensuring timely, successful commitments - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve - Monitor and report on customer health and usage - Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for - 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred - Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC - Hands-on experience with Salesforce and other industry-standard CS platforms - History of building strong relationships across executive, business, and technical stakeholders - Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams - Habit of staying current on industry trends, CS best practices, and the competitive landscape - Startup experience - High EQ with strong verbal communication and technical writing skills - Self‑motivated with a creative and analytical approach to problem-solving Bonus tacos if you have - Customer success or sales experience focused on developer tools - Renewal management experience - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon) - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor) ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform. - Remove barriers to adoption so customers achieve their desired outcomes expediently. - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations. - Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes. - Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting. - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions. - Oversee renewals and forecasting, ensuring timely, successful commitments. - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them. - Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones. - Develop deep expertise in Coder’s products to provide global customer coverage. What we’re looking for - 5+ years in customer success or a technical customer-facing role, with experience independently managing enterprise accounts and driving adoption, retention, and expansion. - Practical knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC; ability to discuss how these fit into a customer’s environment and inform their adoption strategy. - Experience guiding customer onboarding and deployments in SaaS or self-hosted environments. Able to understand a deployment architecture, ask informed questions about infrastructure and security, investigate common issues using logs and documentation, and turn findings into clear next steps. - Hands-on experience with Salesforce and other industry-standard CS platforms. - History of building strong relationships across executive, business, and technical stakeholders. - Consistent internal advocacy for customers and ability to provide actionable feedback for Product and cross-functional teams. - Habit of staying current on industry trends, CS best practices, and the competitive landscape. - Startup experience. - High EQ with strong verbal communication and technical writing skills. - Self-motivated with a creative and analytical approach to problem-solving. Bonus tacos if you have - Customer success or sales experience focused on developer tools. - Renewal management experience. - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon). - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor). - Hands-on familiarity with Kubernetes, cloud environments (AWS, GCP, Azure), or infrastructure as code tools such as Terraform. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Lead, mentor and support a team of full-stack engineers through coaching, regular 1:1s and performance reviews.

• Опыт работы в аналитике данных от 1 года, желательно 1–3 года. • Уверенное знание SQL.

-Развитие существующих backend-сервисов. -Разработка новых сервисов для внутренней инфраструктуры.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.   The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.   You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation. The main responsibilities of the position include: Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies. Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation. Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring. Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations. Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions. Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices. Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight. Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework. Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability. Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice. Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects. Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption. Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation. Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities. Main requirements: BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience. At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team. Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications. Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation. Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools. Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions. Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs. Solid understanding of IT engineering metrics and data-driven measurement of development performance. Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks. Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations. Experience presenting to and working directly with senior or C-level stakeholders. Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences. Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications. Proficiency in written and spoken English. Ability to work independently and collaboratively in fast-paced environments. Strong analytical and problem-solving skills. Strong organisational skills, with the ability to manage multiple initiatives and priorities. Willingness and ability to continuously learn and upskill. The following will be considered an advantage: Experience in fintech, trading or financial services. Experience working with or within an innovation lab or applied research environment. Experience with AI or IT engineering maturity frameworks. Experience representing an organisation at external technology events and industry forums. Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Work with project team members at the requirements and design phase to develop test strategies, test plans and test cases. Provide expert advice and develop test strategies and plans for all recommended types of testing, ensuring coverage using a requirements traceability matrix.

Responsibilities: Design, develop, and maintain high-quality software solutions that align with business goals. Collaborate with cross-functional teams to define, design, and ship new features.

Location: Нижний Новгород Наша команда занимается сопровождением и обеспечением стабильной работы одной из крупнейших MDM-систем банка. Система обеспечивает централизованный сбор, хранение, обработку и анализ клиентских данных и играет ключевую роль в бизнес-процессах обслуживания физических лиц. Проект является важной частью ИТ-инфраструктуры банка: от его стабильности и надёжности зависит бесперебойная работа множества банковских сервисов. Обязанности * участие в приемо-сдаточных испытаниях, внедрение релизов на промышленный контур * решение обращений пользователей (инциденты и запросы на обслуживание) * настройка инфраструктурного и прикладного мониторинга * установка обновлений на сервера (ОС, СУБД) * участие в проведении аварийных учений * ведение базы знаний, подготовка инструкций для дежурной смены. **Технологический стек:** * ОС, приложения и системы хранения: Linux, Openshift, K8S, PostgreSQL, kafka, zookeeper * DevOps: Jenkins, Git, Ansible * мониторинг: Zabbix, Grafana. Требования * высшее техническое образование * понимание архитектуры современных автоматизированных систем/приложений * опыт администрирования/сопровождения прикладных автоматизированных систем * понимание основ ITSM/ITIL * знание сетевых протоколов **Будет плюсом:** * знание SQL и опыт работы с современными СУБД * опыт разработки на python * опыт сопровождения высоконагруженных автоматизированных систем * опыт работы с in-memory хранилищами и нереляционными СУБД * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе * опыт работы в технической поддержке крупной компании/банке. Условия * комфортный современный офис * ежегодный пересмотр зарплаты, годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа

Требования: — Практический опыт работы в технической поддержке L2, DevOps или системной инженерии веб-систем, связанной с устранением неисправностей в производственных средах, не менее 2 лет. — Доказанный практический опыт в области видеостриминга / OTT / медиа: устранение неисправностей в прямом эфире (RTMP ingest), файловом кодировании/транскодировании и рабочих процессах доставки. — Практическое понимание видеостриминговых протоколов (HLS, DASH), адаптивного потокового вещания (ABR), кодеков, контейнеров и распространённых паттернов ошибок воспроизведения. — Практический опыт диагностики браузера с использованием Chrome DevTools: проверка консоли, сетевых трасс, заголовков CORS, захвата HAR, анализ видеосегментов/манифестов и проблем с буферизацией. — Глубокое понимание концепций REST API, HTTP-методов/заголовков/кодов состояния и практический опыт отладки API (Postman, curl). — Отличные навыки работы с командной строкой Linux. — Практический опыт анализа журналов службы и проверки состояния pod/service в Docker и Kubernetes (kubectl). — Готовность к работе в нерабочее время (покрытие вызовов): с понедельника по пятницу с 00:00 до 05:30 CET, в субботу и воскресенье круглосуточно. — Уровень английского языка – Upper-Intermediate и выше. Задачи: — Обеспечение L2 технической поддержки в нерабочее время для корпоративных видеопотоков и рабочих процессов кодирования. — Управление жизненным циклом инцидентов от начала до конца: триаж, регистрация тикетов, глубокий анализ первопричин (RCA), внедрение обходных решений и разрешение проблем в рамках строгих SLA-целей. — Устранение неисправностей в интеграциях REST API: проверка конечных точек, аутентификации/токенах, заголовках, ошибках CORS-префлайтов и полезной нагрузки; воспроизведение повторяемых вызовов через Postman/curl. — Диагностика проблем веб-плеера (JS/TS) с использованием Chrome DevTools: проверка вкладок Console и Network, анализ буферизации, проверка наличия манифеста и сегментов (HLS, DASH). — Проверка конвейеров потокового вещания и кодирования: проверка состояния RTMP-ввода, исправность кодировщика, транскодирование конвейеров и адаптивная доставка с переменной скоростью передачи данных. — Чтение и анализ журналов контейнеров и сервисов через Docker и Kubernetes (kubectl logs, статусы подов/сервисов, события) в многооблачных средах (в основном GCP). — Исследование базовых проблем с сетью, прокси и шлюзами (TLS-сертификаты, HTTP/HTTPS, конфигурации Nginx/HAProxy). — Документирование хода инцидента и общение с клиентами в Zendesk/Jira, предоставление четких обновлений. — Эскалация сложных проблем до L3-инженеров с хорошо структурированным контекстом: журналы, шаги воспроизведения, рабочие гипотезы и собранные артефакты в хранилище объектов (S3/GCS). — Поддержание чистоты тикетов и соблюдение процедур передачи смен между дежурствами. Условия: — Работа в компании Andersen Kazakhstan Ltd. — Гибкий график. — Удаленная работа. — Частичная занятость. — Опыт работы не менее 2 лет. — Уровень английского Upper-Intermediate и выше. — Готовность к работе в нерабочее время (покрытие вызовов) по расписанию: с понедельника по пятницу с 00:00 до 05:30 CET, в выходные круглосуточно. — Персональные данные защищены в соответствии с правилами GDPR. — Возможность профессионального, финансового и карьерного роста. — Доступ к корпоративному обучающему порталу. — Компенсация за сертификацию (AWS, PMP и т.д.). — Частная медицинская страховка и компенсация за спортивные мероприятия. — Реферальная программа. — Возможность сменить проект и развить экспертизу. — Работа с лидерами в различных отраслях. — Возможность дополнительного заработка до 1000 EUR в годовом бонусе.

Задачи: — Разработка и развитие backend-сервисов на C#/.NET (ASP.NET Core, Web API) в микросервисной архитектуре. — Проектирование и реализация REST API, проработка контрактов, версионирование API и интеграций. — Работа с данными: проектирование схемы, оптимизация запросов, миграции в MS SQL Server / PostgreSQL (EF Core, Dapper). — Интеграция с очередями сообщений: Kafka (или аналоги) - проектирование топиков, обработка ошибок, гарантии доставки. — Участие в архитектурных решениях: выбор подходов, оценка trade-off’ов, влияние на стабильность и масштабируемость системы. — Оптимизация производительности сервисов: анализ узких мест, работа с concurrency, кэширование, профилирование. — Написание unit- и integration-тестов (xUnit/NUnit), участие в code review, улучшение качества кода и инженерных практик. — Участие в CI/CD-процессах: Git, GitLab CI/Azure DevOps/Jenkins, деплой в production. — Взаимодействие с командами разработки, DevOps, аналитиками и бизнес-стейкхолдерами. — Учёт требований безопасности в корпоративных и банковских приложениях (аутентификация, авторизация, шифрование, аудит). Требования: — Коммерческий опыт разработки на C#/.NET от 3–6 лет, уровень Middle+ / Senior. — Законченное высшее образование. — Наличие военного билета (для военнообязанных). — Уверенное знание .NET Core и .NET Framework, ASP.NET Core, Web API. — Опыт разработки REST API (RESTful), применение IoC-контейнеров (built-in DI, Autofac и аналоги). — Опыт работы с MS SQL Server (T-SQL) и/или PostgreSQL: схема, сложные запросы, оптимизация, индексы, транзакции, isolation levels. — Опыт работы с Kafka: топики, партиции, consumer groups, гарантии доставки, идемпотентность. — Понимание принципов микросервисной архитектуры и распределённых систем: service discovery, circuit breaker, rate limiting, observability. — Понимание вопросов безопасности корпоративных приложений: аутентификация, авторизация, шифрование, аудит, защита данных. — Опыт разработки высоконагруженных систем, проектирования сложных распределённых систем. — Опыт разработки банковских систем или интернет-банков, знание банковской предметной области (счета, платежи, транзакции, лимиты, compliance). — Опыт работы с Git, понимание принципов CI/CD. — Умение работать автономно, брать задачу целиком и доводить до результата. — Умение переводить бизнес-требования в технические решения и аргументировать свой выбор. Будет плюсом: — Опыт работы с Docker, Kubernetes, Azure/AWS, базовое понимание инфраструктуры и деплоя. — Опыт работы с RabbitMQ, Azure Service Bus, MassTransit, gRPC, GraphQL. — Знание паттернов DDD, CQRS, Event Sourcing, Clean Architecture, SOLID, GoF. — Практика работы с мониторингом и логированием: Prometheus, Grafana, ELK, OpenTelemetry. — Опыт работы с Redis, кэшированием, распределёнными кэшами. — Английский язык для работы с зарубежной документацией, командами и стейкхолдерами (для европейских и американских проектов нужен уровень от B2+). Процесс: — Короткое общение с рекрутером. — Техническое интервью / TechCertify-скрининг. — Передача на подходящие проекты клиентам.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are building the future of live entertainment. We believe that by providing people with the best and high-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together! We're looking for a DevSecOps specialist to join our team and collaborate on continuously evolving our security architecture. You'll work closely with engineering and operations to strengthen our end-to-end security posture—protecting infrastructure, applications, and data — while enabling fast, reliable delivery. Job Responsibilities Responsible for the developing and maintaining the organization’s security architecture design to ensure the protection of IT systems, endpoint devices, network infrastructure, and information assets. Security initiatives to assess and mitigate risks, ensuring alignment with business objectives and compliance with regulatory requirements. Collaborate with IT and business units to integrate security practices into the development and deployment of IT systems and applications. Conduct research on emerging security technologies and trends to enhance the organization’s security posture. You’ll thrive here if you have Proficiency in Ansible and Terraform for Infrastructure as Code (IaC). Solid knowledge of cloud security frameworks. Knowledge of threat intelligence platforms and techniques for monitoring and responding to potential security breaches. Proficiency in encryption technologies, PKI, and cryptographic protocols (SSL/TLS, IPSec). Understanding of network security, including firewalls, VPNs, IDS/IPS, and endpoint security solutions. Understanding of identity and access management (IAM) solutions, including SSO, MFA, and RBAC policies. Soft skills: Effective communication: Ability to convey complex security concepts in an accessible manner. Emotional intelligence (EQ): Fostering empathy and understanding in all interactions. Commitment to greatness: A results-driven mindset with a focus on excellence. Human-centricity: Ensuring solutions benefit both people and systems. Analytical thinking: Strong problem-solving and decision-making skills. Flexibility: Adaptable to changing priorities and challenges. Conflict management skills: Skilled in resolving disputes constructively and efficiently. Inter-dependence: A team player who thrives in collaborative environments. Qualification that can be a plus: SIEM, Cloudflare, k8s, ELK. Any IT / DevOps / Security certifications. Knowledge of modern DevSecOps practices. Expertise in scripting or programming languages such as Python, Go, Bash. Experience with security risk assessment frameworks, such as NIST, ISO 27001, or CIS. Hands-on experience with vulnerability scanning and penetration testing tools, such as Nessus, Qualys, or Metasploit. Knowledge of compliance standards (e.g., GDPR, HIPAA, PCI DSS) and their implications on IT security practices. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (45 min); Technical interview (1.5 hours); Final interview with HRBP (45 min) - optional.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: - AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. _______________________________________________________________________ RESPONSIBILITIES BUILDING AND OPERATING AI DEVELOPER TOOLS - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction SELF-SERVICE PLATFORM - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response DESIGN AND DELIVERY - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship COLLABORATION AND GROWTH - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team _______________________________________________________________________ QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: - AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL LEADERSHIP AND ARCHITECTURE - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals SYSTEMS DESIGN AND IMPLEMENTATION - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling STRATEGIC IMPACT AND INNOVATION - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards LEADERSHIP AND MENTORSHIP - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Задачи: — Обеспечивать высокую доступность, производительность и безопасность систем баз данных в высоконагруженной производственной среде. — Проектировать, внедрять и поддерживать масштабируемые решения баз данных, включая репликацию, кластеризацию и миграцию данных. — Мониторить производительность баз данных, выявлять узкие места и проактивно оптимизировать запросы и конфигурации. — Управлять стратегиями резервного копирования и восстановления для обеспечения целостности данных, надежности и готовности к аварийному восстановлению. — Выполнять рутинное обслуживание баз данных, включая обновления, патчи и планирование емкости. — Устранять инциденты, реагировать на оповещения и обеспечивать своевременное решение проблем, связанных с базами данных. — Сотрудничать с командами разработки и DevOps для улучшения архитектуры системы и эффективности баз данных. — Вносить вклад в автоматизацию и практики инфраструктуры как кода (например, Ansible). Требования: — Опыт работы не менее 3 лет в качестве администратора баз данных в высоконагруженных/крупномасштабных средах. — Практический опыт работы с MySQL (или MariaDB, или Percona). — Глубокое понимание архитектуры баз данных, репликации, настройки производительности и оптимизации запросов. — Опыт работы со стратегиями резервного копирования и восстановления, целостностью данных и лучшими практиками безопасности. — Хорошие знания Linux-систем (Debian, Ubuntu). — Опыт работы с инструментами автоматизации (Ansible или аналогичными). — Знакомство с PostgreSQL, MongoDB или другими базами данных будет плюсом. — Сильные навыки решения проблем и способность работать в распределенной команде. Условия: — Полный пакет релокации на Кипр: перелеты в Лимассол для вас и вашей семьи, квартира, оплачиваемая компанией, на первые 2 недели. — Комфортный офис в центре Лимассола (Кипр). — Медицинская страховка для сотрудников и их семей. — Доступ к профессиональному обучению, конференциям и оплачиваемым образовательным курсам. — Корпоративные языковые курсы. — Вечерние занятия йогой в офисном релакс-пространстве. — Субсидированные обеды. — Спортивные мероприятия. — Открытая семейная культура. — Различные корпоративные мероприятия для сотрудников и их детей.

Location: Москва Наша команда занимается архитектурой управления учетными записями, ролями, аутентификацией, авторизацией, секретами, привилегированным доступом, пользовательским сетевым доступом, доступом AI-агентов, доступом к непромышленным стендам, доступом к данным. Обязанности * проектирование концептуальной архитектуры функциональных областей управления доступом * контроль реализации в части соответствия архитектуре * управление архитектурными отклонениями и долгами * проведение экспертиз архитектурных решений и процессов * выявление технологических, архитектурных рисков и рисков безопасности * выявление и устранение дублей решений * разработка скетчей, паттернов архитектурных решений, защита и согласование с экспертами * разработка архитектурных стандартов, архитектурных требований * выбор оптимальных архитектурных решений в условиях недостатка информации * проведение исследований и разработка концепций и стратегий развития * выработка инновационных решений, не имеющих наработанной мировой практики. Требования * не менее 7–10 лет в сфере информационной безопасности и ИТ-архитектуры, из них минимум 3–5 лет на позициях ведущего эксперта или архитектора в области IAM/PAM/IGA * успешный опыт разработки и внедрения целевой архитектуры IAM/PAM/IGA в крупных компаниях (Enterprise-уровень, от 1000+ сотрудников) * умение транслировать бизнес-требования, процессы, продуктовое видение, клиентские пути и регуляторные ограничения в масштабируемые архитектурные решения * опыт проведения архитектурных комитетов, защиты архитектурных решений, обоснования trade-off и прохождения архитектурных развилок, ведения переговоров с внутренними заказчиками, архитекторами смежных областей, командами разработки, внутренними регуляторами, экспертизы архитектурных решений и архитектурного контроля, проведения исследований, распространения и развития компетенций * понимание составляющих корпоративной архитектуры, TOGAF, ArchiMate, ARIS, BABOK, опыт работы с EA-репозиторием, опыт визуализации структурных и поведенческих диаграмм, потоков данных, знание нотаций BPMN и eEPC * знание стандартов INCITS 359, ГОСТ Р 59383, ГОСТ Р 58833, ГОСТ Р 70262.2, ГОСТР 59453.1, ГОСТ 57580, ГОСТ Р 71753, NIST SP 800-63, СТО БР * знание моделей управления правами: RBAC, ABAC, ReBAC, управление доступом к данным, знание принципов Need-to-know, Need-to-use, Least privilege, Deny-by-default, SOD, JIT (Just-In-Time) * глубокое знание протоколов: OAuth 2.0, OIDC, Token Exchange, LDAPS, Kerberos. Знание протоколов: SAML 2.0, SCIM, FIDO2, SPIFFE, XACML * понимание архитектуры AI-сервисов, знание принципов и особенностей доступа AI-агентов, опыт использования ИИ в повседневной работе * знание архитектуры PAM, Secret Management, IAM/IGA, систем управления межсервисным доступом * понимание технологий REST, X.509, mTLS, Kafka, K8s, ITSM (CMDB), FreeIPA, Open Policy Agent (OPA)/Rego, различных технологий аутентификации, Zero Trust (ZTA), IDFW, Agile и DevOps. Условия * офис рядом с м. Кутузовская * гибридный график (50/50) * ежегодный пересмотр зарплаты и 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 * льготная ипотека в Сбере, подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Malta The Wow Are you passionate about data, technology and finding smarter ways to make systems run better? We're looking for a Data Operations Engineer to join our Data & AI organization in Malta, helping operate and continuously improve the data platforms that support our international business. You'll work with modern data technologies, including Snowflake, Apache Airflow and AWS , ensuring reliable data operations while contributing to improvements in monitoring, automation and platform stability. This role goes beyond day-to-day operations. We encourage our engineers to challenge existing processes, explore new technologies and implement improvements that make a real difference. From enhancing observability to developing automation and AI-assisted solutions, you'll have opportunities to actively shape how our data operations evolve. You'll collaborate with experienced Data Engineering, BI and DevOps teams, applying and expanding your technical skills while gaining valuable experience with business-critical data platforms. A taster of what you will be involved with: Data Platform Operations: Ensure the smooth daily operation of our data platforms, pipelines and reporting services, supporting reliable data processing and availability across the business. Operational Improvements: Identify opportunities to simplify processes, improve data reliability, reduce manual effort and enhance the efficiency of our operations. Automation and Innovation: Develop scripts, automated checks and AI-assisted solutions to streamline operational activities and improve platform reliability. Monitoring and Observability: Work with monitoring and alerting solutions, improving visibility into data pipelines and platform health to detect issues before they impact the business. Production Releases and Changes: Support deployments, data processing activities and operational changes, helping maintain stable and reliable production environments. Incident Management and Troubleshooting: Investigate and resolve technical issues, including pipeline failures, data inconsistencies and processing delays, collaborating with engineering teams when needed. Participate in a scheduled, compensated out-of-hours on-call rotation to help maintain service reliability. Cross-Team Collaboration: Work closely with Data Engineers, BI Developers and DevOps Engineers, share knowledge, document solutions and contribute to continuous improvement initiatives. What we are looking for: Must haves: Experience in Data Engineering, Data Operations, production support, database support or a similar technical role. Strong SQL skills , including writing and troubleshooting queries, working with joins and aggregations, investigating data inconsistencies and validating data. Good understanding of data processing concepts, data pipelines, transformations and dependencies. Experience troubleshooting technical issues using queries, logs, monitoring information or other diagnostic tools. Familiarity with production operations, incident management and troubleshooting practices. Strong analytical and problem-solving skills, with a structured approach to investigating issues and identifying root causes. Good written and spoken English, a collaborative mindset, ownership and willingness to learn. Nice to have: Snowflake or other cloud data warehouses , including data processing, querying and troubleshooting. Workflow orchestration, scheduling and data pipeline operations. Cloud environments and cloud-based data services. Monitoring, logging, alerting and observability solutions. Scripting and automation using Python, Bash or similar languages. Production deployments, change management or CI/CD processes. 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

Задачи: — Проектировать и создавать API-эндпоинты, используемые клиентами — Интегрировать платформу с сервисами третьих сторон — Улучшать производительность баз данных и запросов — Превращать продуктовые требования в надежную бизнес-логику — Владеть функционалом от концепции до продакшена, работая с full-stack, data, ML и DevOps инженерами Требования: — Опыт разработки ПО 5+ лет — Уверенные знания Python (или другого ООП-языка с готовностью перейти на Python) — Опыт создания внешних API или интеграций с третьими сторонами — Опыт работы с AWS, включая serverless (Lambda) и EC2 — Опыт работы с асинхронными рабочими процессами и реляционными базами данных, желательно PostgreSQL — Ответственность, проактивная коммуникация и отличный английский язык Желательно: — Опыт с LLM или генеративным ИИ, распределенными системами