Вакансии

Location: Amsterdam, Netherlands; Israel; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Transportation Logistics Specialist to manage the full scope of IT hardware logistics across Europe and beyond — including racks, servers, and other data center equipment. The role covers domestic European transport between our warehouses and data center sites, inbound international freight from suppliers in Taiwan and other origins into Europe, outbound shipments from Europe as required, and logistics to and from Israel. You will also be responsible for RMA/RMS shipments and ensuring smooth, timely delivery of hardware across all lanes. This is a hands- on, operationally focused role requiring strong attention to detail, excellent vendor management skills, and the ability to work cross-functionally in a fast-paced, global environment. Key Responsibilities Logistics Operations • Manage end-to-end transport of IT hardware — rack systems, servers, and other data center equipment — across all lanes: domestic European moves, inbound international shipments (primarily from Taiwan-based suppliers), outbound from Europe as required, and shipments to and from Israel. • Coordinate inbound freight scheduling for both domestic and international shipments, including air freight from Taiwan and other origins, managing carrier and freight forwarder selection and delivery execution to ensure on-time, damage-free arrival at European sites. • Handle all RMA and RMS shipments, including coordination with vendors, carriers, and internal teams to ensure accurate and timely processing. • Manage equipment transfers between company warehouses and data center facilities across Europe, optimising routes and minimising handling risk. • Maintain full visibility over active shipments across all lanes and proactively resolve transit issues, delays, or exceptions. • Develop contingency plans and alternative routing strategies to ensure business continuity. • Manage time-critical air freight shipments where required, including carrier selection, booking, and end-to-end tracking to ensure expedited delivery of hardware. Coordination & Documentation • Coordinate closely with data center operations teams to support staging, buffering, and just-in- time hardware deployment. • Maintain accurate in-transit inventory records and ensure proper chain-of-custody documentation for all shipments. • Manage all shipment-related documentation in relevant systems (Jira, TMS, or equivalent), ensuring records are complete, accurate, and audit-ready. • Manage customs documentation and clearance processes for all cross-border shipments, including inbound from Taiwan, transfers within Europe, and shipments to and from Israel. • Process and reconcile logistics invoices; manage payments for transportation operations, including ZIP payments to the appropriate vendors and partners. • Work with the security team to establish and maintain secure shipment protocols and ensure compliance with physical security requirements. Compliance & Quality • Ensure all shipments comply with applicable regulations — including EU transport and customs requirements for domestic European moves, EU import/export regulations for international freight, and relevant cross-border trade compliance requirements for shipments involving Israel. • Manage VAT, duties, and customs declarations for inbound and outbound international shipments in line with EU regulations. • Maintain audit-ready documentation for all logistics activities, supporting internal (SOX) and external compliance requirements. • Establish and enforce SLAs and KPIs with freight carriers, forwarders, and 3PL partners; drive accountability through regular performance reviews. • Identify and escalate compliance gaps or process deviations, implementing corrective actions as needed. Cross-Functional Collaboration • Partner with hardware engineering, procurement, finance, and data center operations to align logistics execution with deployment timelines and business priorities. • Collaborate with OEM suppliers (e.g., Giga, ASUS), primarily based in Taiwan, to coordinate international shipping windows, batch tracking, customs documentation, and inbound scheduling into European facilities. • Coordinate with teams and partners in Israel to manage inbound and outbound shipments, ensuring compliance with applicable import/export requirements. • Act as the primary escalation point for European transport-related issues across internal teams and external partners. • Drive continuous improvement initiatives through KPI tracking, root cause analysis, and process standardisation. Planning & Cost Management • Forecast transportation demand based on data center expansion plans, hardware deployment schedules, and capacity needs across European and international lanes. • Identify cost optimisation opportunities through carrier consolidation, routing improvements, and smarter scheduling. • Track and report on logistics costs across all lanes, flagging variances and recommending corrective actions. • Support data-driven decision-making through regular reporting, dashboards, and operational analytics. Requirements • 5+ years of experience in transportation, freight, or logistics management — ideally within technology, data center, or hardware supply chain environments. • Proven experience managing both domestic European and international freight operations, including LTL/FTL, and air freight shipments, carrier and forwarder relationships, and 3PL coordination. • Solid understanding of EU customs regulations, import/export procedures, and cross-border trade compliance within Europe and with non-EU countries. • Experience managing shipments to or from Israel is an advantage; familiarity with relevant customs and trade compliance requirements is a plus. • Hands-on experience with RMA/RMS shipment processes and reverse logistics flows. • Familiarity with TMS platforms, Jira, or similar systems used for shipment tracking and documentation. • Experience managing large, heavy, or high-value freight (server racks, IT infrastructure equipment) is strongly preferred. • Excellent organisational and documentation skills with a high standard for accuracy and completeness. • Strong communication and stakeholder management skills; ability to work cross-functionally across technical and non-technical teams in an international environment. • Self-starter mindset with the ability to operate independently in a remote environment. • Based in Europe; Amsterdam preferred, other EU locations considered. Must be eligible to work in the EU. • Fluency in English required; additional European languages are an advantage. Nice to Have • Experience in a hyperscaler, cloud provider, or large-scale data center build-out environment. • Experience with Asia-Pacific supply chains, particularly Taiwan-to-Europe freight lanes, including familiarity with customs brokerage, import duties, and trade compliance. • Background in supply chain analytics, reporting, or continuous improvement methodologies. • Familiarity with physical security protocols for high-value hardware shipments. • Experience working in or with logistics operations in the Netherlands, Germany, or other major Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Europe 3PL operations manager Position Overview The European 3PL Manager owns Nebius's network of external warehouses and the performance of the 3PL partners who run them. The role ensures that high-value data center hardware stored and handled by third parties is received, stored, picked and shipped to the same standard as in Nebius-operated sites. The manager controls 3PL operations through SLAs, KPIs, audits and system data, coordinates daily flows between 3PLs and internal teams (Transport, Planning, Back Office, ITDC, Security), and drives cost, compliance and continuous improvement across all external locations. Key Responsibilities 3PL Network & Partner Management Manage the portfolio of external warehouses and 3PL partners across EMEA/US/APAC. Own contracts, SLAs and rate cards together with Procurement and Legal; prepare renewals and renegotiations. Run monthly operational reviews and quarterly business reviews (QBRs) with each 3PL; agree and track improvement plans. Act as the primary escalation point for 3PL partners and for internal teams on 3PL-related issues. Operations Control Set and enforce operating standards for 3PLs: receiving, put-away, storage, picking, packing, dispatch and returns (RMA). Ensure 3PLs follow Nebius SOPs for handling heavy, fragile, high-value equipment (racks, GPU servers, HSM devices). Monitor daily operational performance through WMS data, reports and site visits; act on deviations. Lead root-cause analysis of incidents (damage, loss, mis-shipments, delays) and follow corrective and preventive actions to closure. Inventory Control & Audits Ensure inventory accuracy at external sites: cycle counts, annual stock takes and reconciliation with ERP/WMS. Organise periodic on-site audits and inspections of 3PL warehouses (process, security, safety, documentation). Coordinate with Back Office on stock discrepancies, adjustments and asset records. Support internal and external (SOX) audits for inventory held by third parties. Coordination with Internal Teams Align inbound and outbound volumes with Logistics Planning and Transport so 3PLs have capacity and labour in time. Coordinate with ITDC and Project Managers on staging, kitting and release of hardware to data center sites. Work with Security on access control, CCTV, pre-arrival information and secure-storage requirements at 3PL sites. Ensure accurate and timely data exchange between 3PL systems and Nebius ERP/WMS (integrations, ASNs, stock reports). Cost Management Own the 3PL budget: storage, handling, value-added services and accessorial charges. Validate 3PL invoices against contracts and actual activity together with Back Office; resolve disputes. Track cost per pallet / rack / movement and identify savings through consolidation, space optimisation and renegotiation. Network Development: Onboarding & Exit Assess needs for new external storage based on DC expansion plans and capacity forecasts. Lead 3PL selection (RFI/RFQ, site assessment) with Procurement and onboard new partners: SOPs, system setup, training, go-live. Manage 3PL exits and stock transfers with zero loss and full traceability. Compliance & Risk Ensure 3PL operations meet security, safety, insurance and customs requirements (e.g. bonded storage where applicable). Maintain audit-ready documentation on contracts, SLAs, audits and incidents. Identify operational and dependency risks in the 3PL network and maintain contingency plans. Team Leadership Lead 3PL / External Warehouse Specialists as the function scales; set priorities, onboard and develop them. Define workflows, responsibilities and escalation paths between the 3PL team, Warehouse Operations and Transport. Key Performance Indicators (KPIs) KPI Definition SLA compliance % of 3PL SLA targets met (dock-to-stock, order cycle time, on-time dispatch) Inventory accuracy % match between 3PL physical stock and Nebius ERP/WMS Incident rate Damage, loss and mis-shipment cases per 1,000 movements CAPA closure % of corrective actions closed by due date Audit results Score / findings from 3PL on-site audits and SOX tests Cost per unit 3PL cost per pallet / rack / movement vs. budget Invoice accuracy % of 3PL invoices matching contract and activity without dispute Expectations Autonomy: Full ownership of the 3PL network and partner performance; escalates contract, budget and major-risk decisions. Impact: Directly affects hardware availability, inventory accuracy and warehousing cost across all external sites. Leadership: Leads 3PL specialists and steers partner teams without direct authority. Travel: Regular trips to 3PL sites for audits, reviews and onboarding. Work Mode: Hybrid, with regular presence at key logistics sites. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

- Разработка игровых механик, анимаций и оптимизация производительности; - Опыт создания браузерных игр на JS/TS, PixiJS, Canvas, WebGL;

— Разрабатывать и поддерживать реализованные рекомендательные решения. — Искать новые гипотезы для улучшения пайплайнов обучения моделей и добавления новых признаков.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.

Проводить офлайн-занятия в учебном центре. Обучать студентов основам информационной безопасности и кибербезопасности.

- Ведение инициатив по сбору данных, трансформации и выпуску отчётности (от постановки до релиза). - Проведение продвинутого анализа данных по бизнес-метрикам, поиск причин отклонений, подготовка рекомендаций.

Strong SQL, performance tuning, indexing, partitioning ⚡. 6–7+ years with relational databases.

Location: Москва Сопровождение высоконагруженных автоматизированных систем Банка - дистанционное банковское обслуживание (ДБО) для юридических лиц. Ключевые направления: \- Обеспечение бесперебойной работы и доступности сервисов ДБО для юр. лиц. \- Мониторинг и оперативное реагирование на инциденты, минимизация влияния на клиентов. \- Работа с рисками и проблемами (МПР, ЗПП), контроль сроков устранения. \- Управление релизами, изменениями и конфигурацией высоконагруженных систем. \- Взаимодействие с командами разработки, DevOps и смежными трайбами. \- Оптимизация и автоматизация процессов сопровождения (CI/CD, мониторинг, SDD). \- Участие в миграции сервисов на целевые платформы и контуры (AIGW, ИПР). Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * сопровождение банковской АС в соответствии с SLA/TLA * администрирование и конфигурирование систем на основе микросервисной архитектуры в распределенной среде * выполнение расчета производительности, управление мощностями системы * конфигурирования и настройка тестовых и промышленных стендов с помощью инструментов DevOps * проведение приемо-сдаточных испытаний (ПСИ) новых версий ППО, выполнение прикладных настроек, проверка работы функционала на соответствие эксплуатационным требованиям, регистрация дефектов в Jira * общение с разработчиками, тестировщиками, бизнес – заказчиками * проведение опытных эксплуатаций новых продуктов в промышленной среде, планирование тиражирования новых продуктов для клиентов * анализ результатов тестирования, классификация выявленных ошибок, контроль процесса ликвидации выявленных ошибок * установка новых версий системы в ПРОМ – среду с помощью инструментов DevOps * устранение инцидентов в промышленной среде * постановка нового функционала на мониторинг. Требования * глубокие знания всех процессов и терминологии ITSM * опыт сопровождения высоконагруженных автоматизированных систем функционирующих в режиме 24/7/365 (в банковской сфере - приветствуется) * опыт программирования на одном из языков программирования: Bash, Python, Java, C++,C# * опыт настройки/сопровождения серверов приложений (Websphere Application Server,Weblogic, Wildfly, Tomcat, Jboss EAS, etc.) * опыт администрирования серверных операционных систем RHEL/CentOS (без GUI) * опыт работы/администрирования реляционных СУБД ORACLE/DB2/PostgreSQL/MySQL * опыт работы и конфигурирования инструментов DevOps, работа с системами контроля версии и хранения дистрибутивов (Jenkins, Bamboo, BitBucket, Nexus, Git и т.п.) * практический опыт работы с контейнерами, знание Kubernetis/OpenShift * опыт настройки мониторинга высоконагруженных ИТ-систем (Elastic-stack, InfluxDB, Prometheus, Zabbix, Nagios, Cacti, Tivoli) * знание SQL на уровне достаточном для построения сложных отчетов, написания процедур, триггеров, функций и других исполняемых объектов * навыки работы с генеративными AI-моделями. Условия * комфортный современный офис рядом с м. Кутузовский проспект * формат работы – офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для * профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная * пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Москва Мы развиваем инженерные инструменты для ИТ-поддержки Сбера - решения, которыми ежедневно пользуются более 500+ инженеров, обрабатывая 10 000+ заявок в день от 300 000+ сотрудников нашей экосистемы. Наша цель - кардинально повысить эффективность работы поддержки: убрать рутину, снизить когнитивную нагрузку и дать инженеру единое пространство для поддержки пользователей и решения проблем с их оборудованием. Мы строим AI-native единое инженерное пространство, которое помогает инженерам понять контекст задачи и помогает эффективно удовлетворять потребности в поддержке. Обязанности * администрировать и обеспечивать бесперебойную работу сложных внутренних АС Банка * оперативно решать инциденты, анализировать их причины и регистрировать проблемы в HP Service Manager\\SberESM * настраивать и анализировать системы мониторинга (Zabbix, Grafana, Тенгри), проактивно повышать надежность систем * планировать и распределять вычислительные ресурсы (CPU, RAM, дисковое пространство, сетевые лимиты) для АС в средах виртуализации (VMWare, PES) и контейнеризации (Kubernetes/OpenShift/DA). * проводить анализ утилизации, выявлять ресурсные утечки, оптимизировать затраты на инфраструктуру и готовить прогнозы по масштабированию систем * участвовать в развитии АС: деплой приложений, участие в приемо-сдаточных испытаниях (ПСИ) новых версий * автоматизировать рутинные задачи с помощью Bash, PowerShell, Python. Требования * опыт администрирования сложных прикладных систем от 3 лет * уверенное знание SQL и опыт работы с PostgreSQL * навыки администрирования Windows Server и Linux (RHEL) * опыт работы с Docker, понимание принципов Kubernetes/OpenShift * знание скриптовых языков (Bash, PowerShell, Python) * опыт настройки CI/CD (Jenkins) будет плюсом. Будет плюсом: * опыт настройки CI/CD (Jenkins) будет плюсом * опыт работы с генеративными AI-моделями и создания AI-агентов * знание языков .Net Core, Java, JavaScript, TypeScript на уровне чтения кода. Стек: * сервисы: HP Service Manager\\SberESM, GATM, IDM, RLM * инфра: Windows Server, RedHat Enterprise Linux, PostgreSQL * технологии: VMWare, Kubernetes, Docker, OpenShift, Nginx, Jenkins, ArgoCD * мониторинг: Zabbix, Grafana, Тенгри. Условия * комфортный современный офис рядом с м. Тульская (г Москва, ш Варшавское, 9стр1Б) * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Limassol, Cyprus We are looking for a hands-on DevOps Lead to own our infrastructure architecture, reliability and security, while building an agentic Site Reliability Engineering (SRE) practice. You will lead two DevOps engineers and design secure, scalable cloud environments across markets and licences. A key part of your role will be defining how AI agents support production operations, from incident triage and investigation to controlled remediation, with clear permissions, approval workflows and human accountability. Key Responsibilities: Infrastructure Architecture & Reliability Own the design and evolution of our AWS infrastructure, Kubernetes environments and Terraform infrastructure as code. Design environments for individual markets and licences, ensuring appropriate isolation, resilience and regulatory alignment. Define service-level objectives (SLOs), monitoring standards and reliability improvements. Own incident management, escalation procedures, on-call practices and post-incident reviews. Agentic SRE & Operational Automation Build the agentic SRE operating model, defining what agents can triage, investigate and remediate autonomously, and when human approval is required. Own the infrastructure Model Context Protocol (MCP) layer, including tool access, permissions, guardrails and audit trails. Establish agents as first responders within defined boundaries, with people accountable for critical decisions. Equip Production Operations with agent tooling that reduces manual monitoring and repetitive operational work. Validate agent actions and improve automation through production feedback, measurable outcomes and safe rollback mechanisms. Security, Compliance & Cost Management: Embed security and least-privilege access into infrastructure and agent workflows. Define controls that limit the impact of automated actions, including approval gates, execution boundaries and traceability. Support compliance requirements, licence audits and infrastructure security reviews. Own cloud cost visibility and optimisation, including LLM usage and token spend. Team Leadership: Lead, mentor and develop two DevOps engineers. Set technical priorities, engineering standards and delivery expectations. Partner with Engineering, Production Operations and Security to balance delivery speed, reliability and compliance. Must-Have Experience: 6+ years of experience in DevOps or SRE, including 2+ years in a technical leadership role. Strong hands-on experience operating AWS, Kubernetes and Terraform at scale. Proven ownership of production reliability, incident management and on-call processes. Demonstrated experience running agentic operations in production, such as MCP servers, AI-driven incident triage or automated remediation. Ability to design guardrails for AI agents in regulated environments, including approval workflows, audit trails and controls that limit the scope and impact of agent actions. Experience leading engineers while remaining actively involved in architecture and implementation. Nice to Have: Experience in iGaming or other regulated environments, including ISO 27001 and licence audits. Experience building an internal AI operations platform or Slack-based ChatOps with agents. Familiarity with evaluation frameworks and observability for LLM agents. Experience with OpenTelemetry. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/119?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: Limassol, Cyprus We are looking for a Node.js Team Lead to lead an AI-native core engineering team and take ownership of our accounts, wallet and bonus engine. In this hands-on role, you will combine backend architecture, technical leadership and daily use of AI coding agents to build secure, scalable services. You will lead two developers and a QA engineer, establishing a development workflow that improves delivery speed while maintaining high standards for financial accuracy and security. Key Responsibilities: Establish and own the team’s AI-native development workflow, including coding agents, repository rules, AI-assisted code reviews and guardrails. Own the architecture and development of core services, including player accounts, wallets, bonuses, limits and KYC integrations. Lead and mentor two developers and a QA engineer, providing technical direction and supporting delivery. Perform final reviews of AI-generated code affecting financial transactions and security-sensitive functionality. Define and maintain API contracts used by the Payments, Games and Sports teams. Ensure reliable transaction processing and data consistency across high-volume financial operations. Track the impact of AI-assisted development through cycle time and defect rates and keep the team’s AI tooling and practices current. Required Experience: 6+ years of hands-on experience with Node.js and TypeScript, including 2+ years in a technical leadership role. Daily, hands-on use of AI coding agents, with experience introducing and rolling out an AI-assisted development workflow across a team. Strong practical experience with NestJS, PostgreSQL, Redis and message queues. Proven experience building high-load systems that process financial transactions reliably and maintain data consistency. Strong backend architecture, API design and code review skills, with particular attention to security and transaction integrity. Nice to Have: Experience building Model Context Protocol (MCP) servers, internal AI agents or LLM-powered features using tool calling or retrieval-augmented generation (RAG). Experience developing iGaming wallets or bonus engines. Experience with Kubernetes and AWS. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/118?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Design, build and maintain Python services and APIs behind the funnel: registration, booking and the visitor account. Build and own server-side integrations with ad platforms (Meta CAPI, TikTok Events API and similar): event delivery, deduplication, retries and monitoring.

Location: San Francisco, CA | New York City, NY 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 As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE The Privacy and Identity team owns how every athlete securely accesses their Strava experience and builds the tools that help them understand and manage their privacy on Strava, from account security to giving people clear visibility into and control over their data across iOS, Android, and web. We're looking for a fullstack engineer to help build and improve the systems that keep athlete accounts secure and easy to access. You'll work across mobile, web, and server, contributing to sign-up, login, password management, account recovery, and privacy controls. This role will span work across platforms and key product surfaces. No prior identity or authentication experience is required, just strong product engineering fundamentals and a willingness to learn quickly in a high-trust domain.. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week. WHAT YOU'LL DO - Build and ship features across account sign-up, login, password management, and account recovery, working across both mobile (iOS/Android) and backend services - Design and implement clear, intuitive privacy controls that make it easy for athletes to understand and manage their experience and data on Strava - Partner with Product, Security, Trust & Safety, and Legal to build features that meet compliance and platform integrity needs - Help drive consistency in login, privacy, and account experiences across iOS, Android, and web - Use data to monitor and improve login success rates, recovery flows, and engagement with privacy controls - Participate in code reviews, design discussions, and on-call rotations - Break down ambiguous problems into well-scoped, multi-component solutions and weigh technical trade-offs WHAT YOU'LL BRING TO THE TEAM - 5+ years of software engineering experience, with fullstack range spanning mobile (iOS or Android) and backend/server systems - Comfort ramping up on systems that keep user accounts secure and easy to access; no prior identity-specific experience required - Experience breaking down complex, ambiguous problems into multi-component solutions - A product mindset: the ability to balance user experience with data protection and abuse prevention - Strong collaboration skills, with comfort partnering across product, security, and legal stakeholders - Experience with authentication protocols (OAuth, SSO) or in privacy- or compliance-sensitive domains is a plus For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: San Francisco, CA or 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 AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. 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 or 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 AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. 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