Вакансии

Location: Mexico City Workplace: Remote THE ROLE We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales throughout the full lifecycle: qualifying technical requirements, designing and proving out architectures, running proofs of concept, and guiding customers from first evaluation through to production at scale. You'll be the trusted technical voice in the room, translating ClickHouse's architecture and capabilities into solutions that solve real business problems. WHAT YOU'LL DO - Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment. - Design reference architectures, data models, and ingestion/query patterns tailored to each customer's use case, scale, and existing data stack. - Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions. - Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals. - Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders. - Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark). - Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning. - Build reusable assets, demos, and technical content (blog posts, reference architectures, sample apps) that scale your impact across the field team. - Contribute to team best practices, tooling, and onboarding materials. WHAT WE'RE LOOKING FOR - Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company. - Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus. - Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale. - Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure). - Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions. - Excellent communication skills, able to flex between whiteboarding with engineers and presenting business value to executives. - Self-starter who thrives with ambiguity and enjoys being both hands-on with technology and directly responsible for revenue outcomes. - Willingness to travel periodically for customer visits, conferences, and team events. NICE TO HAVE - Direct experience deploying or administering ClickHouse in production. - Experience with real-time analytics, observability, or large-scale event/log data use cases. - Contributions to open-source data infrastructure projects. - Prior experience at an early-stage or hypergrowth startup. WHY CLICKHOUSE - Work with one of the fastest-growing open-source projects and databases in the industry, at the center of the real-time analytics category. - Join a technically excellent, customer-obsessed team that ships fast and takes ownership. - Competitive compensation, equity, and benefits, with a remote-friendly, distributed culture. 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 eligible team member who joins our company receives equity. - 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: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration. KEY RESPONSIBILITIES - Monitor, analyze, and report on key billing and support performance indicators and emerging trends. - Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery. - Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks. - Run A/B tests and experiments to evaluate billing and support strategies. - Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals. - Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics. - Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies. - Document analyses, workflows, and data logic to ensure clarity and consistency. QUALIFICATIONS - Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. - Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support. - Strong SQL skills. - Experience with popular BI tools such as Tableau, Looker, or similar - Experience with Python or R - Solid understanding of statistical analysis, forecasting, and scenario modeling. - Experience running A/B tests and interpreting experiment results. - Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment. - Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders. - Curiosity, ownership mindset, and the discipline to maintain high-quality data work. NICE TO HAVE - Experience with BigQuery, ClickHouse, or any cloud data warehouse. - Basic Python knowledge for data cleaning or simple analysis. - Exposure to subscription businesses or payment systems. - Understanding of disputes, chargebacks, declines, or fraud signals. - Familiarity with DBT or data quality frameworks. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0 Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Задачи: — Развивать внутренний AI-сервис для автоматизации ad-hoc запросов бизнеса, аналитиков и дата-инженеров — Проектировать и реализовывать AI-агентов, workflows и сценарии text2sql, retrieval, explanation и генерации готовых результатов — Подготавливать и улучшать данные для агентов: витрины, описания таблиц и полей, join-логику и бизнес-правила — Реализовывать сценарии сборки отчетов, прогнозов, сверки данных, сценарного планирования и выявления отклонений в воронке продаж — Развивать функциональность генерации графиков, таблиц, Excel-выгрузок, слайдов и других пользовательских артефактов — Улучшать качество ответов агентов, тестировать решение на реальных кейсах и внедрять улучшения по данным, промптам и логике workflows Требования: — Опыт работы от 4+ лет — Уверенный Python и SQL — Опыт работы с аналитическими БД, желательно ClickHouse и PostgreSQL — Практический опыт создания AI-агентов и LLM workflows, включая prompt engineering, function calling, structured output и reasoning — Опыт подготовки данных для AI-сервисов: витрины, метаданные, справочники и правила работы с таблицами — Понимание требований production-сервиса: API, авторизация, логирование, обработка ошибок и безопасность — Опыт интеграции AI-решений с внутренними и внешними источниками данных — Плюсом: опыт с Yandex AI Studio, open-source моделями и Next.js Условия: — Формат работы: удаленно — Занятость: полная, full-time — Трудоустройство: ТК/ИП — Вилка зарплаты: от 250 000 до 290 000 ₽ в месяц

Location: In-Office 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: Bangalore About the team The Data Intelligence & Analytics  team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives. About the role We are looking for a Systems Engineer to join our Bangalore team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You  will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse. What you'll do Design and implement key features of our internal applications Work closely with a cross functional team to design features and solutions that solve critical business problems Contribute in improving an evolving platform architecture for scalability, observability and reliability Continuously involved in knowledge sharing and mentorship Examples of desirable skills, knowledge and experience B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Experience working with Go, Python, Java, or equivalent programming languages Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL Experience with CI/CD, Gitlab CI Excellent communication & problem solving skills Ability to collaborate with cross functional teams and work through ambiguous business requirements Bonus Points Familiarity with container based deployments such as Docker & Kubernetes Familiarity with Google Cloud Platform or something similar Familiarity with Javascript, Typescript, and React 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.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next Set the technical direction for the team across our platform and our datasets Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows Have set technical direction for a team, or owned the architecture of a data platform that other teams build on Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one Lead through influence — aligning engineers and stakeholders without relying on formal authority Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required) Care about the societal impacts of your work Strong candidates may also have Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet) Experience with metrics or experiment-tracking systems, or high-volume time-series data Experience with dataset management, cataloging, or lineage tooling Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research A working knowledge of machine learning Worked in, or closely with, an ML research lab Interest in — or experience with — people management and growing engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Проектировать и разрабатывать ETL/ELT пайплайны по цепочке Source → ODS → DDS → витрины данных. — Строить витрины и схемы под аналитику и отчётность; оптимизировать SQL (индексы, партиционирование, предикативный pushdown). — Настраивать доступ к данным через федеративные SQL-движки, REST/JSON API, батч- и файловые выгрузки, асинхронную обработку тяжёлых выборок. — Вести пайплайны в Airflow с инкрементальной загрузкой, идемпотентностью и контролем качества данных (DQ). — Вести каталог данных, глоссарий и data lineage; следить за согласованностью источников. — Доводить задачи до прода в GitOps-флоу (GitLab CI + ArgoCD), контейнеризация (Docker / K8s). Требования: — Уверенный Python и очень уверенный SQL (оконные функции, оптимизация запросов). — Опыт построения ETL/ELT-пайплайнов и оркестрации (Airflow или аналог). — Понимание моделирования данных и хранилищ (DWH / DataMart, слои ODS/DDS, нормализация, партиционирование). — Опыт с реляционными и аналитическими СУБД (PostgreSQL; плюсом — Vertica / Trino / ClickHouse). — Понимание Git, CI/CD и контейнеризации (Docker), базовое понимание Kubernetes. — Внимание к качеству данных, идемпотентности и инкрементальной загрузке. — Интерес к финансовому домену: транзакции, отчётность, регуляторные данные, справочники. Плюсом будет: — Федеративные движки (Trino / Presto), каталоги данных и data lineage (OpenMetadata / DataHub). GitOps (ArgoCD), стриминг (Kafka), dbt, IaC. — Опыт с финансовыми и регуляторными данными, витринами для отчётности, безопасностью данных. — Базовое понимание LLM/RAG (эмбеддинги, retrieval) — как смежное направление команды. Условия: — Работа с современным data-стеком в финансовом домене национального масштаба. — Менторство и турбо-рост в команде, которая катает продукты в прод каждый месяц. — ДМС для вас и членов семьи. — Оплачиваемый отпуск и 100% официальное оформление.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a Big Data Platform Engineer , you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously. What You’ll Be Doing Platform Core: Design and operate large-scale distributed data systems Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark) Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy Drive reliability and performance improvements across batch and real-time pipelines AI Integration: Build the AI-native platform layer Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases Tooling & DX: Evolve the developer experience Own the internal data development platform — IDE integrations, code review automation, deployment tooling Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration Collaborate with data warehouse and service teams to define platform contracts Ops & Governance: Drive operational excellence Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets Build automated incident response and root-cause analysis pipelines Define and enforce infrastructure policies across multi-cloud environments AI Agent Ownership — Platform Tier Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into What We Look For In You 5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent) Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive) Strong software engineering skills in Java, Scala, or Python; experience with API-first design Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents) Solid understanding of multi-cloud architectures and cost governance Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management Experience with MCP or similar agent-tool frameworks is a strong plus Passion for building systems that make other engineers 10x more productive Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Ищем ML Engineer в команду рекомендаций социальной сети для геймеров Gameram. Вакансия ближе к DE/MLOps — основной фокус на подготовке и доставке рекомендательных систем до пользователя и их стабильной работе в проде. Стек: Scala, Python, Spark, Airflow, Hadoop/HDFS, Kafka, ZooKeeper, ClickHouse, Superset, Redis, PostgreSQL, AWS Обязанности: — Выводить ML-модели и рекомендательные системы в production; — Развивать и поддерживать ML-инфраструктуру; — Взаимодействовать с Data Science, продуктом и другими инженерами. Требования: — 4+ года опыта в разработке; — Уверенный Scala и/или Python; — Опыт вывода ML-моделей в production и поддержки production-систем; — Опыт работы с Big Data и распределённой обработкой данных; — Понимание ML-пайплайнов и жизненного цикла моделей; — Опыт с рекомендательными системами будет большим плюсом. Условия: — full-time, удалённо (не РФ). — Зарплата: $4,000–5,000 gross / месяц.

Задачи: - Развитие и улучшение текущих продуктов монетизации (Дзен Премиум, Про, донаты, стеллы, базовая монетизация). - Разработка платформенного ядра (инфраструктуры), которое позволит легко интегрировать новые монетизационные механики. - Обеспечение быстрого вывода новых платных функций на рынок за счёт модульности и масштабируемости решений. - Повышение эффективности существующих денежных потоков и поиск точек роста для выручки. Требования: - Владение Java. - Понимание о системах контейнеризации (Docker). - Понимание работы одной из БД: Postgres, MongoDB, Redis, ClickHouse, YDB.

Задачи: — Разработка и поддержка платежных сервисов и финансовых продуктов. — Интеграция с PSP-провайдерами и развитие существующих интеграций. — Разработка и поддержка микросервисов. — Участие в проектировании и развитии архитектуры сервисов. — Оптимизация производительности и отказоустойчивости высоконагруженных систем. — Разработка нового функционала и сопровождение существующего кода. — Участие в code review и технических обсуждениях с командой. Требования: — Коммерческий опыт разработки на Python от 1 года. — Уверенное знание PostgreSQL, SQLAlchemy и Redis. — Опыт работы с микросервисной архитектурой. — Опыт работы с брокерами сообщений. — Понимание принципов построения высоконагруженных систем. — Опыт разработки и поддержки сложных backend-сервисов. — Умение писать чистый, поддерживаемый и качественный код. Будет преимуществом: — Опыт разработки платежных систем или финтех-продуктов. — Опыт интеграции с платежными провайдерами. — Опыт работы в сфере iGaming или Betting. — Опыт работы с ClickHouse. — Знание и применение CQRS. — Опыт работы с LiteStar. Условия: — Удаленный формат работы. — Работа под руководством Team Lead / Lead Developer. — Участие в развитии высоконагруженной платежной инфраструктуры. — Возможность влиять на технические решения и архитектуру продукта. — Конкурентная заработная плата от 1.000 USD на старте с возможностью пересмотра по результатам работы.

Задачи: — Улучшать опыт .NET-разработчиков через создание новых инструментов и практик. — Оптимизировать настройки .NET рантайма для повышения производительности и снижения потребления ресурсов. — Разрабатывать платформенные фичи: автоматические таймауты, retry, circuit breaker и loadshedding. — Дорабатывать и поддерживать платформенные клиенты для БД (PostgreSQL, Redis, Clickhouse, Cassandra). — Обеспечивать выпуск внутренних релизов .NET-платформы. — Исправлять баги в базовых библиотеках (Npgsql, grpc-dotnet) и участвовать в open source. Требования: — Опыт разработки на C# и глубокое понимание .NET. — Знание сетевых протоколов gRPC и HTTP. — Опыт работы с высоконагруженными и распределёнными системами. — Навыки анализа и оптимизации производительности приложений. — Возможность работать из России, Казахстана или Беларуси. Хорошо, если есть: — Опыт контрибьюта в open-source проекты (базовые библиотеки .NET). — Понимание внутреннего устройства .NET Runtime. — Опыт разработки инфраструктурных или платформенных компонентов. Условия: — Гибкий формат работы: офис, гибрид или удалёнка. — Полный соцпакет: ДМС со стоматологией, страхование жизни, поддержка психолога. — Профессиональное развитие: Ozon Универ, курсы по программированию, математике и английскому. — Поддержка участия в конференциях (оплата билетов, проживания и дороги). — Спортивные клубы (бег, волейбол, футбол) и йога в офисе. — Льготная жилищная программа для сотрудников.

Задачи: — Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте; — Обеспечение бесперебойной работы инфраструктуры и сервисов; — Сопровождение bare-metal кластеров k8s; — Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike; — Автоматизация процессов; — Обнаружение потенциальных проблем и участие в создании решения по их устранению; — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг; Требования: — Опыт администрирования Linux серверов; — Опыт администрирования Kubernetes; — Опыт администрирования ClickHouse, PostgreSQL, Redis; — Опыт работы с брокерами сообщений (Kafka); — Понимание принципов IaC; — Prometheus stack; — ELK/EFK; Будет плюсом: — Опыт работы с Aerospike; — Опыт использования GitLab CI; — Опыт автоматизации с помощью Ansible; — Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.); Условия: — Отсутствие дресс-кода и бюрократии; — Рабочий ноутбук на выбор: Mac или PC; — Покупка билетов до Кипра за счёт компании; — Помощь с переездом семьи из любого региона; — Рабочая виза для сотрудника и гостевая виза для членов семьи; — Предоставляем жильё на первый месяц; — Медицинская страховка и мобильная связь; — Бесплатные обеды и напитки; — Всегда полные корзины фруктов и всяких вкусняшек в офисе; — Бесплатные курсы английского и греческого языков; — Оплата занятий спортом; — Частичная оплата школ и детских садов.

Обязанности: • сбор и выгрузка данных по запросу вышестоящего руководства из базы данные (SQL); • информирование сотрудников IТ-отдела о необходимости внесения изменений в программу по складским операциям или выгрузки данных из операционной БД; • ведение отчетности в Bi системе (Finebi) - если не было опыта, обучим. Требования: • образование: ИТ, математическое, техническое, экономическое; • базовое знание Exсel; • навыки чтения и анализа сложных SQL-запросов; • знание языка SQL (SELECT, INSERT, UPDATE, DELETE, JOIN, оконные функции), ClickHouse; • желание узнавать новое и развиваться. Условия: • график работы 5/2 с 8.30-до 17.30 (обговаривается); • офис в центре города; • оформление по ТК РФ (официальное трудоустройство, оплачиваемые отпуск и больничный, все прочие соц. гарантии и компенсации); • возможность посещения за счет компании групповых спортивных мероприятий; • корпоративные скидки и бонусы.

Location: Gibraltar; Malta; Georgia; Isle of Man; Poland; Romania; Ukraine Workplace: Remote About Patrianna Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. The Role Design, build, and manage advanced data systems that turn raw player data into actionable insights, powering personalized gaming experiences for millions. What you will be doing • Develop batch and real-time data pipelines on our GCP platform • Build APIs to share data with other teams and develop CI/CD pipelines for automated deployments • Develop Terraform IAC for deploying core infrastructure and use Datastream to ingest CDC data • Use Dataform and dbt to build medallion data architecture while optimizing BigQuery and ClickHouse models • Build Airflow DAG pipelines for data imports/exports with monitoring and alerting for data integrity • Uphold GDPR/CCPA compliance and maintain data governance standards across platforms What we are looking for • Strong proficiency in Bash, Git, SQL and Python (essential skills) • Hands-on experience with Terraform IAC, Docker and Kubernetes • Solid GCP expertise including BigQuery, Dataform, Airflow, and Datastream • Real-time processing experience with Kafka, PySpark, or Flink • Proven ETL/CI-CD development skills and API development capabilities • Bachelor's in Computer Science, Data Science, Information Systems, or equivalent experience Why you will love it Your pipelines will personalize gaming experiences for millions while detecting fraud and driving monetization. You'll work with cutting-edge GCP technology, enjoy autonomy in your role, and learn from a collaborative global team. We offer flexible remote options, professional development opportunities, and a culture that celebrates diverse ideas and breakthrough thinking. Equal Opportunities We hire based on skills, drive, and ideas—nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: PL Workplace: remote Overview: SOFTSWISS continues to expand the team and is looking for a Senior Go Developer. We need a true, experienced and accomplished professional who shares our culture and values. About Product: Prediction Markets: The SOFTSWISS Prediction Markets Platform team develops a software solution that lets operators offer fixed-odds markets on real-world events. You’ll work with engineers, product specialists, and operations teams on market management tools, integrations, settlement workflows, and the platform capabilities behind them. The team builds reliable systems, adapts the product to regulatory and market requirements, and supports partners across multiple jurisdictions. Purpose of the role: You’ll design and build scalable backend solutions in Go, helping to shape the architecture of a high-load, business-critical system. You’ll collaborate closely with the team, contribute to strategic technical decisions, and ensure code quality through thoughtful reviews and clean, testable implementation. Your deep understanding of system internals, distributed architecture, and data integrity will drive reliability, performance, and long-term maintainability. Key Responsibilities: Collaborating within a team using the Scrum methodology and participating in planning your own workflow Engaging in architectural, infrastructure, and other strategic decision-making processes Conducting code reviews for other team members and documenting your own code Required Experience: 7+ years of professional software development experience At least 4 years of recent programming experience with Go as the primary language Hands-on experience with betting-related products is a must Strong understanding of Go internals: data structures, multithreading, memory management, garbage collection, etc. Experience with relational databases, including the ability to write and optimize complex SQL queries Solid knowledge of Linux and an understanding of containerization (we use Docker) Ability to write testable code and corresponding unit tests Experience working with Kafka and Kubernetes English – Intermediate Russian – Upper-Intermediate Nice to have: Experience in developing applications in finance or other fields where data integrity is a key requirement Understanding the principles of distributed applications and microservice architecture Familiarity with one or more modern approaches to back-end application design (e.g., DDD, Clean Architecture, Hexagonal Architecture) Experience with PostgreSQL and Clickhouse Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Технологический стек: PHP 8+ (Laravel 11+), Golang, MySQL, ClickHouse, Redis, RabbitMQ / Kafka, Docker, AWS, REST API. Что ожидаем: — Уверенный опыт разработки на PHP и/или Golang — Опыт проектирования и разработки REST API — Понимание принципов Clean Architecture — Практический опыт применения DRY, KISS, DDD и TDD — Понимание преимуществ и ограничений монолитной и микросервисной архитектур, умение выбирать подходящее решение под задачу — Умение использовать AI-инструменты (ChatGPT, Qwen, Claude Code и аналогичные) для повышения эффективности разработки — Опыт работы с высоконагруженными системами Будет большим плюсом: — Практический опыт разработки сервисов с нагрузкой: от 1 000 RPS, от 10 000 RPS, от 50 000 RPS — Понимание подходов к масштабированию, кешированию, отказоустойчивости и оптимизации производительности на каждом из этих уровней нагрузки — Опыт проектирования событийных систем и работы с брокерами сообщений Чем предстоит заниматься: — Разрабатывать и поддерживать backend-сервисы и API — Проектировать архитектуру новых компонентов системы — Оптимизировать производительность и масштабируемость сервисов — Работать с очередями, кешированием и высоконагруженными базами данных — Участвовать в принятии технических решений и развитии архитектуры продукта

Location: India; Singapore; Australia Workplace: Remote The Platform Auth team’s goal is to support our ‘one customer identity’ vision by providing tools, processes, and expertise for our engineering teams to create a unified access management experience while simplifying and standardizing engineering patterns in the space. We are looking for engineers to join our growing team!  What you will be doing: - Design and build the platform services that power authentication, authorization, and audit across ClickHouse Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision. - Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship the libraries and APIs that other engineers build against. - Implement protocol-level support for SAML, SCIM, OIDC, OAuth2, and MFA/passwordless flows. Own the integrations that make enterprise SSO and provisioning work end to end. - Build the audit and authorization-decision telemetry pipeline so every access decision is observable, queryable, and surfaceable to customers. - Partner with product engineering teams to migrate bespoke per-product auth implementations onto the shared platform, and design APIs that make adoption straightforward. - Carry the platform on-call rotation and own production reliability for systems on the critical path of every customer request. What you bring along: - Minimum 4+ years building production backend systems at scale. Comfort with at least one systems language (Go, Rust, C++) and one application language (TypeScript, Python). - Hands-on experience designing and implementing an authentication or authorization service. Examples include building a token issuer, an OIDC or OAuth2 provider, a policy engine, a permissions model, or an FGA/ReBAC system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Working knowledge of SAML, SCIM, OIDC, and OAuth2 at the protocol level and are able to implement them. - Experience designing APIs and SDKs that other engineers depend on, with strong opinions on what makes them adoptable. - Experience operating distributed systems at scale, including caching strategies, consistency tradeoffs, and multi-region concerns. - Familiarity with identity vendors (Auth0, WorkOS, AWS/GCP/Azure IAM) as building blocks you've extended or integrated into a larger platform. - Strong production debugging instincts and a high bar for systems that are easy to develop against. Bonus: - You've built or contributed to a Zanzibar-style authorization system, or run an OpenFGA or SpiceDB deployment beyond the demo. - You've designed a multi-tenant permission model that survived real customer requirements like custom roles, hierarchies, delegation, and ABAC attributes. - You've shipped an SDK that product teams across an org actually adopted, and have opinions about why most internal SDKs fail. 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 eligible team member who joins our company receives equity. - 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: Germany; Portugal; France; United Kingdom; Italy; The Netherlands Workplace: Remote The Platform Auth team’s goal is to support our ‘one customer identity’ vision by providing tools, processes, and expertise for our engineering teams to create a unified access management experience while simplifying and standardizing engineering patterns in the space. We are looking for engineers to join our growing team!  What you will be doing: - Design and build the platform services that power authentication, authorization, and audit across ClickHouse Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision. - Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship the libraries and APIs that other engineers build against. - Implement protocol-level support for SAML, SCIM, OIDC, OAuth2, and MFA/passwordless flows. Own the integrations that make enterprise SSO and provisioning work end to end. - Build the audit and authorization-decision telemetry pipeline so every access decision is observable, queryable, and surfaceable to customers. - Partner with product engineering teams to migrate bespoke per-product auth implementations onto the shared platform, and design APIs that make adoption straightforward. - Carry the platform on-call rotation and own production reliability for systems on the critical path of every customer request. What you bring along: - Minimum 4+ years building production backend systems at scale. Comfort with at least one systems language (Go, Rust, C++) and one application language (TypeScript, Python). - Hands-on experience designing and implementing an authentication or authorization service. Examples include building a token issuer, an OIDC or OAuth2 provider, a policy engine, a permissions model, or an FGA/ReBAC system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Working knowledge of SAML, SCIM, OIDC, and OAuth2 at the protocol level and are able to implement them. - Experience designing APIs and SDKs that other engineers depend on, with strong opinions on what makes them adoptable. - Experience operating distributed systems at scale, including caching strategies, consistency tradeoffs, and multi-region concerns. - Familiarity with identity vendors (Auth0, WorkOS, AWS/GCP/Azure IAM) as building blocks you've extended or integrated into a larger platform. - Strong production debugging instincts and a high bar for systems that are easy to develop against. Bonus: - You've built or contributed to a Zanzibar-style authorization system, or run an OpenFGA or SpiceDB deployment beyond the demo. - You've designed a multi-tenant permission model that survived real customer requirements like custom roles, hierarchies, delegation, and ABAC attributes. - You've shipped an SDK that product teams across an org actually adopted, and have opinions about why most internal SDKs fail. 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 eligible team member who joins our company receives equity. - 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.