Вакансии

Задачи: — Сбор, обработка и анализ данных Яндекс.Метрики и внутренних систем. — Создание ETL-пайплайнов, витрин данных и регулярной отчётности. — Разработка парсеров и интеграций с внешними API. — Построение классических ML-моделей для целей аналитики. — Создание аналитических ИИ-агентов. — Контроль качества, полноты и актуальности данных. — Поддержка аналитических сервисов и автоматизированных отчётов. Требования: — Высшее образование (техническое, математическое). — Уверенное знание SQL и Python. — Практический опыт работы с ClickHouse. — Опыт работы с Яндекс.Метрикой, включая API и Logs API. — Опыт разработки ETL-пайплайнов. — Опыт написания веб-парсеров и интеграций с API. — Понимание аналитических метрик и принципов построения витрин данных. — Опыт создания ИИ-агентов или LLM-интеграций. Будет преимуществом: — Знание Airflow и других инструментов оркестрации. — Docker, PM2, FastAPI. — Redash, Superset, DataHub. — Selenium и автоматизация работы с веб-интерфейсами. — PostgreSQL, Redis, Qdrant. — RAG, MCP и работа с LLM API. — Опыт работы с большими объемами медиаданных. Условия: — График работы: 5/2, гибрид. — Оформление по трудовому договору. — Стабильность и прозрачность в отношении заработной платы. — Испытательный срок 3 месяца. — По окончании испытательного срока возможность подключения к программе добровольного медицинского страхования и другим опциям социальной политики. — Работа в бизнес-центре класса А с развитой инфраструктурой (офис в 5 минутах от м. «Маяковская», кафе и магазины, зоны отдыха внутри здания).

Задачи: — Развитие рекомендательной системы на сайте kommersant.ru. — Создание и поддержка RAG-систем и ИИ-агентов (база знаний, умный поиск). — Оценка качества моделей, рекомендаций и ответов LLM. — Мониторинг качества, скорости и стоимости ML/LLM-сервисов. — Проведение A/B-тестов и анализ результатов. Требования: — Высшее образование (техническое, математическое или IT-направление). — Опыт работы в Data Science от 3 лет. — Уверенное знание Python и SQL. — Знание классического ML, статистики и продуктовых метрик. — Опыт разработки рекомендательных систем, общее понимание видов архитектур. — Знание RAG и опыт проектирования RAG-архитектур. — Опыт работы с LLM, эмбеддингами и векторными базами данных. — Умение превращать прототипы в стабильные production-сервисы. Будет преимуществом: — Опыт работы с LightRAG, GraphRAG или другими графовыми RAG-подходами. — Знание Qdrant, ClickHouse, PostgreSQL, Redis. — FastAPI, Docker. — Опыт создания систем оценки LLM и работы с несколькими провайдерами моделей. — Опыт разработки ИИ-агентов и MCP-интеграций. — Опыт работы с медиаконтентом и рекомендательными системами для издателей. Условия: — График работы: 5/2, гибрид. — Оформление по трудовому договору. — Стабильность и прозрачность в отношении заработной платы. — Испытательный срок 3 месяца с возможностью подключения к программе добровольного медицинского страхования и другим опциям социальной политики. — Обеспечение необходимым техническим оборудованием (ноутбук). — Работа в бизнес-центре класса А с развитой инфраструктурой (офис в 5 минутах от м. «Маяковская», кафе и магазины, зоны отдыха внутри здания).

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Design Leader to oversee our Context Platform Pillar, which homes several critical company initiatives including Design Systems, Code, MCP, CMS, Community, and more. Think of it as the team that drives the most important context for AI agents to help you design better products. In this role, you'll tackle strategic challenges from building new products to evolving and scaling existing ones - all while empowering your teams to deliver ambitious, high-quality work. If you're a leader who is especially deep in understanding modern AI + Design Systems workflows, and very passionate about empowering Designers through platform-wide investments in Figma's ecosystem, this role is for you. As a Design leader at Figma, you'll guide and grow a team of world-class designers, with the opportunity to expand this group as the scope and impact of our work evolves. In this deeply cross-functional role, you'll work in close collaboration with product management, engineering, research, marketing, and other teams to shape both product and business strategy in our next chapter. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Hire, manage, and develop a multi-team design group spanning Design Systems, Code, MCP, CMS, and Community Partner with Product and Engineering leads in this area to improve team processes and execution and coach individual teams through setting roadmap and strategy Develop a perspective on your team's product areas and successfully advocate for it across the organization Lead critique, sprint, and design review practices across the pillar Advance your own skills at people management in a supportive and growth-oriented environment Operate hands-on across both people management and strategy and execution We'd love to hear from you if you have: 5+ years of design management experience, ideally including experience managing managers and leading teams through ambiguity and change Deep understanding of the latest AI developments, modern tooling, and component-driven design practices Strong hands-on expertise with Figma's tools, with the ability to mentor and guide design teams effectively Proven track record of partnering cross-functionally to solve complex design challenges and drive meaningful outcomes Strong strategic thinking and communication skills, demonstrated through influencing teams, adapting quickly, and taking a proactive, solution-oriented approach While it's not required, it's an added plus if you also have: Background contributing to open-source or developer-facing design tools Experience partnering with Research and Marketing on platform-wide initiatives At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $290,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As Senior Engineering Manager for Agent Platform & UX, you will lead two teams reimagining Render's onboarding and activation experience for both humans and AI agents. One team owns the experience a person sees the first time they come to Render: signup, onboarding, activation, and what drives them to adopt more of the platform. The other team builds the equivalent experience for agents, which reach Render through APIs rather than the UI, integrating with providers like Codex, Claude, and Cursor so agents can use Render the way humans do. You'll take an already-forming org through its next stage of growth. WHAT YOU'LL DO - Lead and grow two teams, UX (human onboarding and activation) and Agent Platform (the equivalent experience for agents via programmatic interfaces like the MCP, CLI, API, SDK, and Blueprints) - Own the roadmap for Render's self-serve user journey, from first touch through activation, initial monetization, usage expansion, new feature adoption, and PQL graduation - Drive the agent-facing side of the platform: build the API-driven experience that lets agents integrate with and operate on Render - Partner with the dedicated product and design partners on both teams to align roadmap with customer, growth, and platform needs - Hire and develop engineers to support planned team growth, while keeping both teams' identities and focus areas clear as they scale - Make key architectural and product decisions, balancing long-term platform investment against iterative improvements to onboarding and activation - Build a strong performance management and career development practice for a team that already includes senior ICs WHAT WE'RE LOOKING FOR - Strong people leadership - the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling more than one team, ideally growing a group from a handful of engineers into a larger org - Experience managing and developing senior (IC5+) engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Strong product instincts, with the ability to connect engineering investment to growth and activation outcomes - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment NICE-TO-HAVES - Prior growth-focused engineering experience (onboarding, activation, funnel optimization) - Experience building developer- or agent-facing product experiences, and integrating with AI coding tools such as Codex, Claude, or Cursor - Background in developer platforms or DevTools - Experience helping a team split or reorganize as it scales into multiple teams If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. 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. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Mapbox US Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.   WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - Technical Skills & Tools (Must-Haves): - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Core Competencies & Scope: - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.     WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Comprehensive Healthcare: Private medical coverage for you and your dependents. - Family-First Support: Generous maternity and paternity leave policies to support your growing family. - Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. - Invest & Grow: Retirement plans with competitive matching. Our annual base compensation for this role ranges from $175,100 - $236,900 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here. Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation https://drive.google.com/file/d/1rVYht6vc6QJmVzwML1rlh3BFboC-JkGe/view?usp=drive_link and Right to Work https://drive.google.com/file/d/1Pnzz1t8ueq8iPftJ7kqPOGoTnD5mqi0H/view?usp=drive_link posters for more information. Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, US Applications will be accepted until November 01, 2026. Job Title: Senior Oracle Security and AI Engineer About the Role This Senior Oracle Security and AI Engineer is primarily responsible for the Oracle Fusion security architecture, role design governance, oversight of the Risk Management Cloud service and AI initiatives. The Engineer serves as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment, operating as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure. Responsibilities Environment Management & Maintenance: Own the technical management of all Fusion environments, including executing scheduled environment refreshes , cloning instances, managing environment usage, and ensuring system configuration baselines. Cloud Update Execution: Participate in the technical preparation and execution of Oracle’s mandatory quarterly cloud updates, including performing pre-update checks and technical smoke testing post-update. Platform Stability & Governance: Own the non-functional requirements for the Oracle Cloud environment, including security architecture, role design governance, and performance benchmarking. Enforce technical configuration control standards. Security Administration: Provide security administration and support for all Oracle Fusion Applications, PaaS and DBaaS platforms. Design, build, and deploy custom security roles for Oracle Fusion Applications, ensuring strict adherence to the principle of least privilege and Segregation of Duties and Sensitive Access compliance frameworks. Risk Management Cloud: Serve as the technical owner of the Oracle Fusion Risk Management Cloud service. Configure, deploy, and maintain Advanced Access Controls - AAC and Advanced Financial Controls - AFC to detect and mitigate financial risks, fraud, and policy violations, translating audit requirements into effective platform controls. Technical Support & Troubleshooting: Provide Level 2/3 technical support for environment-related issues, access problems, and deployment failures. Serve as an escalation point to conduct root cause analysis for platform-level incidents. AI & Automation Innovation: Evaluate, design, and deploy AI-driven tools, Model Context Protocol implementations/maintenance, Terraform-based automation scripts, and security artifacts to enhance platform security operations, streamline threat monitoring, and optimize governance workflows across the Oracle Cloud ecosystem. Role Requirements Must-Have Skills 8+ years focusing on the technical administration/support within Oracle eco system 4+ years of experience designing, building, and deploying custom security roles within the Oracle Fusion Applications environment. Expert-level knowledge of managing Oracle Fusion Cloud environments(ERP, GTM and EPM), including environment refresh and cloning processes. Deep technical familiarity with Oracle Cloud Infrastructure administration and monitoring. Strong understanding of security architecture, Oracle Fusion Risk Management Cloud, role design governance, and performance management within a cloud ERP. Strong understanding of various MCP and Agentic capabilities with Oracle Fusion (ERP, EPM, GTM), AI Database, Oracle Integration Cloud, and Oracle Fusion Data Intelligence. Nice-to-Have Skills Experience in an organization transitioning to Oracle Cloud Ecosystem. Hands-on experience with various OCI PaaS Toolsets. Exposure to the Data Center Infrastructure industry Relevant professional product/functional certifications (e.g., Oracle Cloud Infrastructure and Security certifications) Skilled in administering DevOps tools like Flexagon FlexDeploy and using Opal IGA tool Experience in Cloudflare’s Developer platform or equivalent(e.g., AWS) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — Разрабатывать и подключать инструменты на базе Model Context Protocol (MCP), понимать устройство MCP-серверов и проектировать клиентские решения «интерфейс — агент — инструменты» — Писать спецификации и правила для агентов, развивать реестр скиллов команды — Ревьюить код — и человеческий, и агентский; держать планку качества — Участвовать в планировании, оценке задач, релизах; работать в связке с аналитиками, бэкендом, дизайном и QA; менторить джунов, в том числе учить их работать с агентами — Разрабатывать и рефакторить модули платформы (интерфейсы управления медиа-хранилищем) — руками агента под вашим управлением — Проектировать поверхности взаимодействия человека и AI: чаты с потоковой передачей ответов (SSE), канвасы, дашборды агентов — Создавать собственных AI-агентов и мульти-агентные системы, встроенные в продукт Требования: — Опыт коммерческой фронтенд-разработки от 5 лет, из них от 2 лет в роли Senior — Глубокий практический опыт с React, Next.js и TypeScript, понимание внутреннего устройства — Опыт проектирования архитектуры сложных фронтенд-приложений и принятия ключевых технических решений — Понимание и применение принципов SOLID, DRY, KISS, а также паттернов проектирования — Опыт работы с менеджерами состояний (Redux Toolkit, RTK Query) в крупных проектах Условия: — Формат работы: офис первые 3 месяца, далее гибрид или офис по согласованию

Задачи: — усиливать безопасность приложений RingCentral — безопасно внедрять AI-технологии Требования: — глубокое знание уязвимостей веб-приложений и способов их эксплуатации и устранения — опыт threat modeling, security design review и risk assessment — практический опыт с SAST, DAST, SCA, code review и penetration testing — понимание рисков LLM-приложений, AI-агентов, coding-ассистентов и MCP-серверов — навыки программирования или написания скриптов — умение давать инженерным командам понятные и практически применимые рекомендации — разговорный английский Будет плюсом: — опыт с LLM/RAG, AI-assisted security testing, WebRTC, видео- или аудиостримингом Условия: — график 4 дня в офисе в Софии, 1 день удалённо — релокационный пакет и помощь с документами

Задачи: — Проектировать и разрабатывать RESTful API с использованием FastAPI — Проектировать, оптимизировать и поддерживать схемы и запросы PostgreSQL — Писать unit и интеграционные тесты для обеспечения надежности и покрытия кода — Создавать и поддерживать CI/CD пайплайны для автоматического тестирования и деплоя — Контейнеризировать и оркестрировать сервисы с помощью Docker и Kubernetes — Реализовывать аутентификацию, авторизацию и практики безопасного кодирования (валидация ввода, управление секретами, рекомендации OWASP) — Интегрировать AI возможности в backend системы с использованием MCP — Оптимизировать производительность приложений и эффективность запросов к базе данных — Разворачивать и мониторить сервисы в облачной инфраструктуре — Сотрудничать с frontend и продуктовыми командами для интеграции backend возможностей — Поддерживать версионированные и хорошо документированные кодовые базы Требования: — Опыт backend разработки от 3 лет (middle и выше) — Уверенное владение Python и FastAPI — Опыт работы с PostgreSQL: проектирование схем, индексация, оптимизация запросов, миграции — Опыт написания unit тестов (pytest или аналог) и следование TDD — Опыт создания и поддержки CI/CD пайплайнов (GitHub Actions, GitLab CI или аналог) — Опыт работы с Docker и Kubernetes для контейнеризации и деплоя — Понимание принципов и лучших практик REST API — Знания основ безопасности приложений: аутентификация/авторизация, шифрование данных, сканирование уязвимостей, безопасный дизайн API — Владение Git и практики совместной разработки — Владение языками: узбекский C1, английский B2 и выше Будет плюсом: — Опыт работы с MCP для интеграции AI инструментов/агентов в backend — Async Python (asyncio, SQLAlchemy async или аналог) — Очереди сообщений: RabbitMQ, Kafka или Redis — Облачные платформы: AWS, GCP или Azure — SQLAlchemy ORM и Alembic миграции — Кэширование: Redis, Memcached

Задачи: — Разрабатывать платформу для создания внутренних ассистентов с использованием современных подходов. — Обеспечивать сотрудникам доступ к актуальным возможностям LLM — интеграция новых моделей, MCP и API. — Анализировать качество генеративных моделей, выявлять слабые места и предлагать способы их улучшения. — Постоянно держать руку на пульсе: следить за best practices и open source-проектами в области LLM и интеграций. — Разворачивать и поддерживать сервисы в Kubernetes: деплой, конфигурация, настройка мониторинга и алёртов. — Проводить Code Review и архитектурные ревью существующих решений, вносить предложения по оптимизации и развитию. Требования: — Опыт разработки от 5 лет. — Активный пользователь LLM, применяешь их в работе и личной жизни, понимаешь возможности и ограничения. — Опыт деплоя сервисов в продакшн и обеспечение их стабильной работы. Будет преимуществом: — Понимание архитектуры AI-агентов (оркестрация, memory, tools). — Опыт работы с одним из фреймворков для написания LLM пайплайнов: LangChain, LlamaIndex, Haystack. Условия: — Работа удалённо по РФ, возможен гибридный формат в офисах Москвы, Санкт-Петербурга и Новосибирска. — Нет дресс-кода и строгого графика. — Современные технологии, участие в конференциях. — ДМС и забота о здоровье сотрудников.

Location: ES - Spain Scopely is looking for a Senior Identity Security Engineer to join our Information Security team on a remote basis or hybrid basis if located in Barcelona.  This is a hands-on engineer who will build identity controls that reduce excessive privilege and protect critical operations. You will improve access across employee, player, business partner, and non-human identities by building AI-native identity workflows: agentic systems that handle provisioning, access reviews, and remediation within explicit guardrails, with humans approving what matters. Your work will protect the identities and access that support Scopely’s critical business processes, including essential enterprise functions and game operations.  This is a highly technical, hands-on role for someone who can operate across AWS, GCP, Okta, AWS IAM Identity Center, Zero Trust access models, identity governance workflows, and modern AI-enabled engineering environments, while building scalable identity systems through Infrastructure as Code, workflow orchestration, and automation-first security engineering. What You Will Do Reduce identity attack surface and privilege Reduce standing and excessive access with least-privilege roles, just-in-time and time-bound elevation, and automated access reviews. Build repeatable identity and access workflows that make onboarding, approvals, role changes, reviews, and offboarding consistent, traceable, and timely. Govern non-human identities, including service accounts, workload identities, CI/CD identities, API credentials, and AI agents and their tool integrations: inventory them, assign owners, replace long-lived secrets with short-lived or federated credentials, and rotate or revoke on a schedule and on signal. Strengthen identity protection and resilience Protect access to critical business processes and systems with phishing-resistant authentication (passkeys/FIDO2), device trust and posture signals, tightly controlled privileged access, and prompt revocation of suspicious sessions or compromised credentials. Threat-model identity platforms, integrations, and access paths to identify exploitable trust relationships, privilege escalation, and credential misuse. Build identity telemetry and response workflows to detect risky sign-ins, privilege changes, credential misuse, and compromised integrations. Design and test break-glass and recovery procedures for identity services and cloud access so teams can regain secure access during an outage or compromise. Extend the same patterns to player and partner identities where security owns the controls: platform identity federation (Apple, Google, Steam, console), account linking and recovery, external and vendor access, and defenses against account takeover and credential stuffing. Build AI-native identity services Build and operate reusable identity controls and services using infrastructure as code, APIs, scripting, and delivery pipelines. Apply code review, testing, drift detection, and audit trails so that every change, whether made by an engineer or an agent, is safe to deploy and easy to investigate. Design and build multi-agent workflows that surface identity risk, run access attestations, and triage and remediate access issues end to end. Engineer the harness those agents run in: scoped tools and permissions, curated context and data access, evals and test cases, orchestration between agents, and observability, so agent behavior is predictable, reviewable, and improvable. Treat agents as identities. Give every agent and MCP integration its own scoped credentials, least-privilege permissions, and bounded data access; validate inputs and outputs; log every action; and require human approval for changes that touch privileged access or production. Work with game and platform stakeholders to adopt shared identity patterns. Measure progress through reduced standing privilege, stale access, and unmanaged identities, and less manual work. Produce audit-ready evidence for access reviews, privileged access, and lifecycle events as a byproduct of the workflows rather than a separate project. What You Bring 5+ years of experience in IAM, or identity-focused cloud/security engineering, including hands-on ownership of production identity controls in complex environments. Strong experience with Okta or a comparable workforce identity platform and AWS/GCP IAM, as well as federation and provisioning protocols such as SAML, OIDC, OAuth, and SCIM. Production experience building, testing, and operating identity services or automation using Terraform or comparable infrastructure as code, Python, Go, or TypeScript., APIs, version control, and CI/CD. Strong knowledge of least privilege, just-in-time privileged access, identity lifecycle and governance, authentication controls, and non-human or workload identity risk. Experience threat-modeling identity architectures, integrations, and access paths, and driving remediation with service owners. Hands-on experience building AI-native workflows: systems where agents carry out multi-step work end to end, designed from the start around what agents can be trusted to do and where humans approve. Using a coding assistant does not count. Working fluency with harness engineering and multi-agent development: defining tools and permissions, scoping context and data, writing evals, orchestrating specialized agents, and instrumenting agent runs so failures are diagnosable, plus the judgment to keep those systems inside least-privilege boundaries. Ability to lead technical work from design through deployment and operations, and explain identity risks and implementation choices to stakeholders. Experience with identity governance, privileged access, or cloud entitlement tooling, or having built the equivalent in-house. Nice-to-have Consumer identity (CIAM) at scale, Kubernetes workload identity, detection engineering or SIEM experience, Okta or cloud security certifications, gaming or live-service experience. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

В рамках данной позиции необходимо разрабатывать и внедрять механизмы изоляции и контроля для агентных систем, включая создание песочниц для выполнения инструментов, строгую изоляцию контуров, установку лимитов на действия и реализацию функции аварийного отключения агентов. В задачи входит настройка детального аудита логов действий агентов в продакшене, а также разработка и настройка системы мониторинга аномального поведения с оповещениями о подозрительных паттернах. Требуется проводить моделирование угроз и threat modeling для новых сценариев агентов на этапе проектирования, а также разрабатывать архитектурные решения и фильтры для защиты от атак на LLM, таких как prompt injection, data exfiltration и jailbreak, включая внедрение строгой валидации выходных данных агентов. Необходимо организовывать и проводить атаки на собственные агентные системы для выявления уязвимостей до их эксплуатации злоумышленниками, а также проводить аудит безопасности агентных пайплайнов от команды LLM-инженеров до продакшен-выкатки. Контроль исходящих данных включает обеспечение соблюдения политик по использованию данных и инвентаризацию всех потоков информации, направляемой во внешние LLM-провайдеры. Важной частью работы является настройка IAM и управление секретами, проектирование и внедрение ролевой модели доступа для агентов, определение прав доступа и безопасное хранение с ротацией секретов. Также требуется опыт использования сканеров исходного кода (SAST/DAST), включая подбор, пилотирование, установку, администрирование и интеграцию в CI/CD-конвейер, а также помощь разработчикам в расшифровке результатов и устранении уязвимостей. Кандидат должен уверенно владеть Python, иметь глубокие знания Docker и Linux, а также понимание принципов работы CI/CD. Необходим практический опыт threat modeling, работа с системами управления секретами (например, HashiCorp Vault), внедрение IAM-моделей, настройка песочниц и изолированных окружений. Важно понимание работы LLM и агентных систем, опыт с фреймворками LangChain, LangGraph, MCP и знание принципов Claude Code. Кандидат должен быть готов не только проводить ревью кода, но и самостоятельно проектировать и создавать безопасных агентов.

Задачи: — Развивать LLM-гейтвей: роутинг между собственным инференсом (vLLM) и внешними моделями (OpenRouter), fallback, feature flags, квоты по командам и доменам. — Реализовывать Data Governance: права доступа к документам (RBAC/ABAC), детекция и маскировка персональных данных на входе и выходе. — Строить интеграции: корпоративный SSO, OAuth для Atlassian, MCP-коннекторы (почта, календарь, корп. портал), Telegram-бот. — Развивать сервисы тиража: подписки сотрудников, квоты на пользователя, API для бизнес-проектов. — Проектировать хранение: PostgreSQL, Redis, векторный поиск (Marqo), Minio. — Отвечать за качество: тесты, CI/CD в GitLab, наблюдаемость, SLO сервисов. Требования: — Уверенное знание Python: ООП, типизация, asyncio. — Опыт разработки сервисов на FastAPI (или Flask / Django с готовностью перейти на FastAPI). — Опыт проектирования архитектуры сервисов: модульность, API-контракты, версионирование, обработка ошибок. — Опыт работы с REST API, желательно — gRPC. — Знание SQL и PostgreSQL: индексы, транзакции, оптимизация запросов. — Понимание принципов работы NoSQL-решений и Redis, умение выбирать подходящие инструменты под задачу. — Опыт работы с брокерами сообщений (Kafka / RabbitMQ), асинхронными интеграциями и идемпотентностью. — Опыт написания unit- и интеграционных тестов, использования моков для внешних API. — Понимание SLO, нагрузочных характеристик и метрик производительности сервисов. — Опыт контейнеризации приложений (Docker) и работы с CI/CD. Будет плюсом: — Опыт интеграции с LLM API: стриминг, управление токенами, лимиты, fallback-механизмы. — Опыт работы с API Gateway и решениями для API Management: маршрутизация, квоты, аудит. — Опыт работы с Kubernetes. — Опыт настройки наблюдаемости сервисов: Prometheus, Grafana, трейсинг. — Опыт кросс-функционального взаимодействия с ИТ-командами при реализации интеграционных решений. Условия: — Официальное оформление в соответствии с ТК РФ в IT-аккредитованную компанию. — Совокупный доход: оклад + годовой бонус. — График работы: 5/2 (гибридный формат работы/ удаленный). — Вакансия открыта для кандидатов, проживающих в РФ, удалённый формат работы из других стран не рассматривается. — Техника для работы. — Полис ДМС. — Программа Best Benefits. — Внутреннее обучение. — Спортивные и развлекательные мероприятия, участие в корпоративной жизни компании.

Задачи: — проектировать и разрабатывать backend-сервисы и RESTful API (Python/Django) — строить agentic-пайплайны на LangChain, LangGraph, n8n и аналогичных инструментах — собирать и обрабатывать данные из внутренних систем (jira, confluence, продуктовые реестры, аналитические платформы) — строить ETL/ELT-пайплайны на Python/Pandas/NumPy, в том числе потоковые данные через Kafka — готовить данные для обучения/дообучения моделей и базово настраивать/оценивать качество ML/LLM-компонентов совместно с профильными специалистами — разворачивать и эксплуатировать сервисы в закрытом контуре (production-инфраструктура внутри периметра безопасности, без выхода во внешний интернет): Docker, Kubernetes, CI/CD — принимать архитектурные решения по сервисам и агентным пайплайнам — тестирование, код-ревью — взаимодействовать с продуктовыми и инженерными командами при формировании требований и внедрении агентных и аналитических инструментов в рабочие процессы — готовить дашборды и рекомендации для управленческих решений по приоритизации и балансировке портфеля продуктов. Требования: — от 3 лет опыта в backend-разработке с выводом решений в production — опыт построения агентных систем — обязателен — опыт самостоятельного проектирования архитектуры backend-сервисов и агентных пайплайнов, готовность нести ответственность за принятые технические решения — Python — продвинутый уровень; Django, RESTful API — SQL, опыт работы с реляционными и NoSQL хранилищами — LangChain, LangGraph, MCP servers, опыт с n8n или аналогами; понимание RAG-архитектур, embeddings, векторных баз данных — Pandas, NumPy, Kafka — обработка табличных и потоковых данных, ETL/ELT на больших объемах — Docker, Kubernetes, CI/CD — уверенный пользовательский уровень. Условия: — комфортный современный офис рядом с м. Кутузовская — гибридный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — 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.

Workplace: remote Requirements AI Application Engineering: Strong experience delivering LLM-powered features to production rather than to prototype, covering tool use, multi-turn agent loops, structured output, and management of context, latency and cost Can ship agents as services with authentication, queues and persistent state Evaluation & Quality: Expertise building evaluation sets and regression suites that detect when a prompt or model change has degraded results with a clear metrics proving that Programming Languages: Proven expertise in Python Code Context & Retrieval: Strong experience getting relevant source code in front of a model through repository indexing and symbol or structural search, with the possibility to recognise where embeddings are not the right instrument Tooling & Integration: Experience with Model Context Protocol (MCP) or comparable tool-server design, including tool granularity and returning errors to the model in a form it can act on Safety & Guardrails: Solid understanding of permission boundaries, dry-run modes and human review gates for agents that modify repositories and drive physical devices Agent Observability: Familiarity with tracing agent runs, tracking token spend per feature Nice to have Cross-language Reading: Ability to read Java and C# well enough to reason about a JVM automation engine and the Unity clients it drives Test Automation Understanding: Solid understanding of what makes an automated test flaky (timing, ordering, state leakage, genuine product defects) and of why a passing test is not evidence that a defect was fixed Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, or with Unity Responsibilities Agent Architecture & Engineering: Develop and deploy production LLM-powered services in Python using multi-turn agent loops, structured outputs, and tool integration Tooling & Protocol Integration: Design robust tool-server integrations (MCP or similar) connecting AI agents with the underlying Java core framework and device infrastructure Code Context Retrieval: Build repository indexing and code search mechanisms to optimize context feeding for LLM models during test generation and execution Evaluation, Safety & Observability: Establish continuous evaluation suites, model regression detection, safety guardrails, token tracking, and agent run tracing We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Veronika hh@itransition.com

Location: Lithuania 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 We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative 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 + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Romania 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 We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative 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 + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer, Backend to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform We’re excited about you because… 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .