Вакансии

Location: Самара Команда занимается промышленным сопровождением (администраторы прикладного ПО) сервисов Сбера. Сотрудники тесно взаимодействуют с Agile командами для вывода новых продуктов для клиентов. Обеспечивают бесперебойную работу сервисов. Имеют глубокое понимание бизнес-процессов систем. ### ### ### Обязанности ### **Обязанности** * сопровождение и внедрение автоматизированных систем * работа с бизнес-командами по выводу приложений на тестовый и промышленный контуры * работа с инцидентами, инфраструктурными рисками, проблемами Требования ### **Требования** * высшее образование * опыт сопровождения и внедрения автоматизированных систем, ППО, бизнес-приложений, программных продуктов, в рамках жизненного цикла ПО * представление об архитектурах приложений, интеграционных взаимодействиях * навыки работы с SQL или аналогичных языках (выборки по условиям, объединение таблиц, группировки) * опыт работы с Linux * опыт использование практик DevOps, систем контроля версий, понимание CI/CD * представление о компьютерных сетях, модели OSI * быть готовым работать по сервисной модели ITSM/ITIL * знание принципов построения и сопровождения надежных, безотказных высоконагруженных систем * ### Будет плюсом: * опыт сопровождения и внедрения Java приложений * опыт использования СПО NGINX, OpenShift, Docker, Kubernetes, Wildfly, SpringBoot, Kafka * понимание принципов работы СУБД Oracle, PostgreSQL * опыт построения графиков, метрик приложений, мониторингов на основе ELK, Prometheus * понимание SSL,TLS * использование скриптовых языков программирования для автоматизации процессов внедрения и сопровождения * иметь представления о методологии гибкой разработки Agile * умение применять в работе языковые ИИ модели Условия ### **Условия** * работа в офисе по адресу г. Москва, ст. м. Кутузовская * формат работы: офис * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматология и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм, скидки от партнеров и сервисов группы компаний.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain. Responsibilities Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra Drive down the time it takes finance to support a new product, program or compute buildout Minimum qualifications Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production Have sound judgment on platform boundaries, data contracts and API design Have hired and grown engineers, and set engineering standards for platforms Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room Preferred qualifications Have 3+ years of engineering management experience, with 8+ years total in the industry Built developer platforms or paved paths used by other builders Worked with Go and with streaming systems such as Pub/Sub or Kafka Built with LLMs and agents, including MCP Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails Worked with ERP or financial systems, such as Workday Financials or Oracle Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brussels, Belgium We currently have a vacancy for an Operations Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency; Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility. Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving; Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards; Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics; Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities; Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tools; Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking. Requirements University degree in IT combined with relevant IT professional experience of at least 10 years; Expertise in containerisation and orchestration using Docker and Kubernetes for scalable application deployment; Expertise in network architecture design, particularly integrating distributed systems with hybrid cloud solutions and including management of network policies at cluster level; Significant experience with managing and optimising data-intensive distributed systems for processing, querying and storing; Comprehensive experience with relational and non-relational databases, optimising them for high-volume transaction processing (e.g., Oracle, PostgreSQL, OpenSearch, MongoDB) Proficiency with advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting; Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications; Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management; Profound knowledge of version control systems like Git and integration platforms such as Jenkins, GitLab CI; Proficiency in distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architectures; Proficiency in using infrastructure-as-code like Terraform and AWS CloudFormation; Good knowledge of the GitOps framework and tools that follow its prescription to manage deployments and achieve the desired application state (e.g., ArgoCD); Familiarity with configuration management tools like Ansible for comprehensive system administration; Familiarity with AI-powered code assistants (e.g., Amazon Kiro, GitHub Copilot) for accelerating coding processes and enhancing developer productivity; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: ( 158836/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

​​​​​​- анализом бизнес-потребностей и функциональных задач с точки зрения их реализации в информационных системах; - исследованием существующей архитектуры, функциональности и ограничений систем, а также определением влияния планируемых изменений на текущий ландшафт;

• Разработка методики по загрузке тестирования. • Разработка и реализация средств нагрузочного тестирования (скрипты НТ, скрипты НТ, эмуляторы соответствующих систем, скрипты генерации данных, скрипты анализа данных);

участие в анализе технических требований к разрабатываемым модулям и сервисам, помощь в выборе технологии и языков программирования. разработка и сопровождение desktop приложений, а так же серверных модулей (backend), в том числе web-сервисов и API (REST, gRPC, WebSocket) на Python 3 и других языках высокого уровня.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Magic: The Gathering Arena is a live-service game, and players notice the moment something breaks. The Services Ecosystem team keeps the platform underneath it fast, stable, observable, and cost-efficient. We're looking for a Senior Software Engineer who thrives in distributed systems, loves a clean and clear dashboard, and wants to help us bring a mature platform into its next era of cloud native tooling. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Design and implement reliable, scalable solutions in C#/.Net and Kubernetes for Magic: The Gathering Arena to maximize uptime and minimize cost. Make telemetry work for us by improving signal-to-noise across Prometheus, Grafana, and Datadog. Curate beautiful dashboards that answer questions before we think to ask them. Own service developer experience, tooling, and quality of life for internal customers. Solve problems for your teammates and our players. Rejoice! Help build the roadmap by spotting high business impact problems worth solving, writing up proposals, and advocating for them with the team and our partners. Support the end to end live product development lifecycle and resolve technical problems as they arise in the production environment. Bring technical expertise in cloud native solutions and expand your knowledge in related fields. Bring quality, efficiency, and effectiveness to a fun-loving, hardworking, and highly engaged team. What You'll Bring 4+ years of professional software engineering experience, with time spent building and supporting a live-service product. Hands-on experience running scalable workloads on Kubernetes in the cloud. Experience with distributed message-driven architectures (RabbitMQ, SQS, Kafka, or similar). Infrastructure as code experience, ideally Terraform. Real observability experience with Prometheus, Grafana, Datadog, or similar, plus opinions on what makes an alert worth waking up for and easy to grok at 2am. A track record of debugging complex issues across service boundaries, using logs, metrics, and a healthy amount of curiosity. You'll thrive with us if you are comfortable being multi-threaded, are a self starter, want roadmap influence, and can hold empathy for past decisions while keeping an eye towards modernizing. What Sets You Apart FinOps (OpenCost/Kubecost), GitOps (Helm, ArgoCD), service coordination (etcd, ZooKeeper). Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $133,200 — $212,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: New York City Workplace: Hybrid About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE TEAM AND ROLE: Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers. As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time. RESPONSIBILITIES: - Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers. - Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Own integrations with billing systems and vendor APIs, designing for resiliency against outages, schema drift, and inconsistent data. - Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers. - Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible. - Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right. REQUIREMENTS: Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance. You should have: - At least 2 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver APIs for a rapidly scaling product surface - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience at a SaaS company with usage-based or consumption pricing models - Experience building billing-specific features, such as usage dashboards or cost reporting - Strong familiarity with a compiled language like Rust, Go, or Java - Experience integrating with third-party financial APIs and building defensively against inconsistent or delayed data - Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Задачи: — Разработка бэкенда на Python (FastAPI): REST/GraphQL API, оптимизация PostgreSQL, асинхронные задачи (Celery, Kafka, RabbitMQ) — Интеграция LLM в продукт: RAG, агенты, суммаризация, стриминг, MCP на Claude, OpenAI, GigaChat и локальных моделях — Фронтенд по необходимости: React + TypeScript, админки, дашборды — Рефакторинг легаси, декомпозиция монолитов, участие в архитектуре — Code review и менторство Требования: — Сильный уровень в коммерческом Python (обычно 5+ лет), уверенный FastAPI — Production-опыт интеграции LLM в веб-приложения — Опыт с очередями и оптимизацией под нагрузку (Kafka, RabbitMQ, Celery, кеширование) — AI-ассистенты (Claude, Codex, Cursor и т.п.) как ежедневный рабочий инструмент — Будет плюсом: Docker, Kubernetes, GitLab CI / GitHub Actions, Prometheus / Grafana — Опыт с легаси на разных стеках и умение быстро в них погружаться Условия: — Полная удалёнка, 5/2, 8 часов, гибкое начало дня — Оплата до 1500 руб/час на руки (≈240 000 в месяц), финальная цифра по итогам собеседования — Выплаты 2 раза в месяц: аванс 25-го, зарплата 10-го — Рост до ведущего специалиста с расширением зоны ответственности — Разнообразные задачи с AI и автоматизацией, минимум бюрократии, реальная свобода в решениях Важно: — Отклики без сопроводительного письма не рассматриваются — В письме нужно ответить на 4 вопроса по опыту с LLM, FastAPI, React и AI-ассистентами — Указать ссылку на GitHub/портфолио, ожидаемую ставку и дату старта — Шаблонные отклики без конкретики не рассматриваются — Можно написать, какую задачу из проектов кандидат бы взял первой и почему

Задачи: — Участвовать в проектировании архитектуры приложений. — Разрабатывать и поддерживать backend‑часть веб‑приложений и сервисов. — Оптимизировать производительность и масштабируемость решений. — Работать с множеством интеграций и интерфейсов обмена данными. Требования: — Высшее техническое образование (потребуют показать диплом). — Коммерческий опыт разработки на Java от 5 лет после окончания вуза. — Опыт в финтехе, в проектах для топ‑15 банков РФ. — Профессиональная разработка на Java: микросервисы, API, юнит‑тесты. — Опыт с Spring (Boot / Security / Web / Test), Kafka и REST API. — Опыт с Maven / Gradle, OpenShift / K8S и Git. Будет плюсом: — Docker, CI/CD.

-Коммерческий опыт разработки на Python от 4 лет.

Location: Remote - APAC Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production — query plans, pg_stat_*, indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Разработка и сопровождение программного обеспечения.

Location: Kazakhstan OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Senior Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will play a key role in delivering several initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Senior Platform Engineer, you will design and deliver well-scoped platform projects, breaking requirements into executable work for yourself and your teammates. You will build reliable, extensible systems, own the operational health of the services you run, and lead incident response and root cause analysis to reduce recurring issues. You will communicate plans and technical decisions clearly with cross-functional peers, propose improvements to team tooling and practices, and mentor and onboard other engineers. What You’ll Do 5+ years of experience in platform, infrastructure, DevOps, or software engineering Design, implement, and maintain scalable platform services and infrastructure supporting Fanatics’ technology ecosystem. Build and improve developer tooling, automation, and CI/CD workflows to streamline software delivery. Contribute to observability initiatives, including logging, metrics, and alerting, to improve system reliability and incident response. Develop and maintain Infrastructure as Code solutions using Terraform to ensure consistent and secure environments. Design, implement, and optimize CI/CD pipelines to improve deployment speed and reliability. Partner with application and platform teams to improve performance, scalability, and reliability in cloud-native environments. Participate in incident response, post-incident reviews, and reliability improvements. Advocate for best practices in infrastructure, software delivery, and operational excellence. Provide technical guidance and mentorship to other engineers. Continuously learn and apply new technologies and approaches to platform engineering challenges. What We’re Looking For Strong software engineering background with experience in backend systems and distributed architectures. Solid understanding of the AWS cloud platform and cloud-native architectures. Hands-on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and maintaining CI/CD pipelines and automation tooling. Experience running workloads in Kubernetes and containerized production environments. Working knowledge of observability tools and practices, including logging, metrics, and alerting. Experience participating in incident management and operational support for production systems. Proficiency in Go or Python is preferred. Familiarity with AI-assisted development tools Strong collaboration and communication skills, with the ability to work effectively across teams. Pragmatic, outcome-oriented mindset focused on delivering reliable platform solutions. Comfortable operating in a fast-paced, evolving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fanatics Core. Join a culture that encourages learning, growth, and technical leadership Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $170,000 — $212,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: EMEA OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋