Вакансии

Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA; New York, NY; Toronto Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Language fluency - professional fluency in both Spanish and English - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll be doing: Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for: Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

We’re looking for a QA Engineer to join a new Crypto Casino / AI-Native project. The key requirement for us is strong hands-on experience and understanding of crypto & blockchain: wallets, transactions, confirmations, deposits/withdrawals, block explorers, and understanding what can go wrong at each stage of a money flow.

Location: Crete, Greece; Athens, Greece; Aya Napa, Cyprus; Larnaca, Cyprus; Nicosia, Cyprus; Limassol, Cyprus; Paphos, Cyprus; Paralimni, Cyprus Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Digital Analytics Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Support enterprise clients in solving data-related challenges across digital analytics, data warehousing, AI, and data product development. Work with proprietary data and AI solutions, including a Customer Data Platform processing over 137 million digital sessions per month and AnalyticsAI, a GenAI platform designed to automate analytics tasks. Collaborate with leading enterprise clients, including Publicis, Philip Morris across seven markets, Eurobank, Piraeus Bank, DEH, and OPAP. Good communication skills and strong English, both written and spoken. At least 1 year of professional experience as a Data Engineer or Analytics Engineer. Hands-on experience with Google Analytics. Strong ability to take ownership and complete tasks from start to finish. Open to using and working with AI technologies. Some front-end development experience. Based in Greece or Cyprus.

Location: Москва Мы развиваем «Поток» - единую цифровую среду для командной работы, которая объединяет целеполагание, управление задачами, коллаборацию и автопротокол в одном интерфейсе. Ищем кандидата в юнит "Аналитика встреч". Вы будете создавать продукт, который помогает сотрудникам не терять суть разговоров: тысячи часов переговоров превращаются в удобные сводки, напоминания, подсказки и рекомендации. Обязанности ### Обязанности * разработка продукта, который помогает сотрудникам запоминать суть встреч: ключевые обсуждения, договорённости и следующие шаги автоматически собираются в одном месте * построение моделей, которые берут на себя рутину — резюмируют встречи и подсказывают, что стоит вынести в задачи или обсудить с коллегами * создание сводок, которые помогают командам видеть прогресс совместных проектов и тем вместо ручного пересказа * разработка персональных рекомендаций, которые экономят время и помогают не упустить важное из обсуждений * вывод продукта из прототипа в промышленную эксплуатацию и обеспечение охвата на всех сотрудников банка. Требования ### Требования * опыт работы с python, pandas, numpy, pytest, langchain, langgraph от 3 лет * опыт работы с llm, ии-агентами, rag, llm-wiki, графовыми бд * знание nlp, классического ml, матстатистики, алгоритмов, постановки и интерпретации экспериментов * понимание микросервисной архитектуры, обработки больших объёмов данных * опыт создания AI-агентов и использования их в работе будет преимуществом. ### Будет плюсом * опыт работы с fine-tuning, lora, peft, fastapi * готовность нести ответственность за продукт и фичу целиком — от идеи до пользы для пользователя, проверка гипотез, отслеживание метрик и доведение решения до результата * готовность разрабатывать полноценные решения и прототипы — от бэкенда и данных до интерфейса, активное использование ai-инструментов разработки для быстрого прототипирования * готовность к глубокому погружению в бизнес-смысл решаемой задачи * навык работы в команде. Условия ### Условия * гибридный формат работы из офиса в г. Москва * годовой бонус и ежегодный пересмотр * ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Ленинском проспекте с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a backend-leaning full-stack engineer to help build the next generation of Creative Agents at ElevenLabs. Our ambition is to make agents a primary way people create across ElevenCreative. We are building systems that turn ideas into high-quality audio, image and video, bringing models and creative tools together without requiring users to become prompting experts. The creative agent is already live. You will join a small team shaping its capabilities and architecture, with ownership from backend systems and agent infrastructure through to the customer-facing experience. You will help discover what works, turn experiments into reliable features, and use real customer feedback to guide what we build next. Your responsibilities will include: - Building production agents and expanding their capabilities through prompts, tool use, orchestration, new models and MCP integrations. - Designing and operating reliable backend systems for asynchronous creative generation and long-running tasks, with strong performance, observability, scalability and security. - Developing shared evaluations and live quality monitoring, including model-based assessment of image and video outputs. - Owning features end to end, from identifying user needs and prototyping to shipping across the stack and supporting them in production, alongside product, design and engineering. You will help shape both what the agent can do and how people use it across ElevenCreative. The work combines substantial greenfield development with improving and operating a live product. REQUIREMENTS We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned. We are looking for: - Strong backend engineering skills, experience operating production systems, and sound fundamentals in APIs, cloud infrastructure, storage and asynchronous processing. - Hands-on experience developing agents, with an understanding of prompts, tools, execution logic, evaluations and the challenges of reliable, secure operation. - Evidence of independent, end-to-end ownership and confidence working across the stack, including frontend delivery when needed. - Good product judgement, clear communication and enthusiasm for creative agents. We may also consider exceptional engineers with closely relevant experience. Familiarity with HTTP, WebSockets and asynchronous workers will help you build reliable communication between services and recover from failures. Experience with multimodal generation, creative editors, MCP, or building products in a small, fast-moving team would be particularly valuable. Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

-Разрабатывать и совершенствовать лучшую на рынке платформу данных электронной коммерции нового поколения. -Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino.

Day to day, you will: Collaborate with developers on exploratory testing of new and modified IDE functionality. Investigate and pinpoint bugs, findings in our tracker, and perform regression testing.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. About the Role We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack. What You'll Do Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Improve performance, reliability, and observability of metric query execution at scale. Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. Mentor other engineers through code review, pairing, and technical guidance. Skills We're Looking For Strong professional software engineering experience, with a strong track record of shipping production systems. Deep proficiency in Python , including modern typing, testing practices, and packaging. Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries. Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines. Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members. Experience collaborating in a distributed, asynchronous team environment. Bonus Skills (Optional) Prior experience contributing to or maintaining a popular open-source project. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why Join Us Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — улучшать рекомендации — искать гипотезы — прототипировать на GPU — выкатывать в A/B-тесты Требования: — опыт 3+ года — знание Python, SQL, Spark, Docker, Git, ClickHouse, Redis, Deep Learning Условия: — удалённая работа или офис — фултайм

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

▫️Проектирование, разработка и поддержка масштабируемых data ingestion pipelines. ▫️Работа с большими объёмами данных — до миллиардов строк.

Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).

Location: Almaty, Almaty, Kazakhstan Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About The Role Our Business Intelligence department owns the trusted data warehouse and the analytics every department relies on. We build and maintain the models and reports behind management reporting and daily decision-making, with a strong focus on getting the numbers right and on time. We're hiring a hands-on, SQL-strong data engineer to drive development work forward in our GCP + dbt + Power BI stack. Reporting Line — Head of Data Warehouse Worksite — Remote What You Will Do Develop and look after reliable, scalable data models, transformations and pipelines across BigQuery and dbt. Bring together data from a range of different systems — databases, APIs, file feeds and external providers. Translate reporting needs into accurate, well-tested and documented datasets. Put validation, checks and monitoring in place so data problems are spotted before they spread. Make sure the day-to-day data lands correctly and on schedule. What We're Looking For Must have In-depth knowledge of SQL — you are confident in writing and debugging complex queries, and you understand the underlying data. Substantial experience working in a production environment with ELT pipelines, data integration and data modelling. A deep understanding of the principles of data quality assurance and data warehouse design. Reliability and independence — you are able to take responsibility for resolving data-related issues and see the task through to completion. Nice to Have Experience with designing and building data models in dbt. Comfortable using Python to move and integrate data across GCP services. Practical experience querying and working in BigQuery (or a comparable cloud warehouse). Solid grasp of star-schema design and semantic modelling for Power BI. Confident with version control and CI/CD workflows, GitLab a plus. Background working with brokerage, banking, asset-management, payments or fintech data. We Offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Distributed systems, MPP, Python / Go, AWS, Karpenter, Istio, database infrastructure и задачи, в которых можно влиять на то, как все работает вместе.

– Обеспечьте сквозную доставку одного или нескольких приоритетных доменов данных в Azure Databricks. – Разработка и создание конвейеров обработки данных уровня Medallion (Bronze/Silver/Gold) с использованием декларативных конвейеров Lakeflow, Auto Loader, Structured Streaming и Delta Lake с кластеризацией Liquid.

Location: Москва Ищем ML Engineer для разработки AI-решений на базе больших языковых моделей (LLM). Предстоит заниматься созданием AI-агентов, мультиагентных систем, RAG-решений и адаптацией LLM под прикладные задачи. Специалист будет участвовать в полном цикле разработки: подготовка данных, дообучение моделей, разработка AI-архитектуры и внедрение решений в production. Обязанности ### Твои задачи: * разработка AI-агентов и мультиагентных систем * создание и оптимизация RAG-систем * разработка и настройка промптов (Prompt Engineering) * дообучение LLM * подготовка и обработка датасетов * настройка Embeddings, Vector Search, Hybrid Search * интеграция LLM с API, базами данных и корпоративными системами * оценка качества моделей и оптимизация результатов * развертывание и сопровождение AI-сервисов. Требования ### Мы ожидаем, что у тебя есть: * опыт разработки на Python от 3 лет * опыт работы с LLM и Generative AI * опыт разработки RAG-систем * опыт Fine-Tuning LLM (SFT, LoRA/QLoRA) * опыт работы с Hugging Face Transformers, PyTorch * понимание архитектуры Transformer * опыт работы с Prompt Engineering * опыт создания AI-агентов. **Будет плюсом:** * опыт работы с локальными LLM (Qwen и др.) * опыт развертывания моделей * опыт работы с GPU-инфраструктурой * опыт работы с Vector DB (Qdrant и др.) * опыт построения MLOps-процессов * знание MCP / A2A протоколов * опыт оценки качества LLM Условия ### Работа в СберТехе - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * статус аккредитованной ИТ-компании * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * бесплатная подписка СберПрайм, которой можно поделиться с 3 близкими.