Вакансии

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1

Location: Москва Workplace: гибкий Мы развиваем платформу таргетингов VK Рекламы, которая помогает рекламодателям находить релевантную аудиторию и повышать эффективность рекламных кампаний. Таргетинги — один из ключевых механизмов рекламной платформы, от которого зависят возможности рекламодателей и качество рекламного продукта. Мы работаем с большими объёмами пользовательских данных, разрабатываем ETL-пайплайны и внедряем новые механизмы подбора аудитории. В нашей работе сочетаются машинное обучение, backend-разработка и data engineering. Ищем Senior Backend Developer, который будет развивать платформу вместе с нами. Задачи Чем предстоит заниматься: Развивать backend-инфраструктуру таргетингов: проектировать API, интегрировать новые механизмы таргетирования и участвовать в проектировании архитектуры Работать с большими объёмами данных: оптимизировать обработку и хранение данных, обеспечивать производительность и стабильность пайплайнов Разрабатывать backend-сервисы и ETL-пайплайны на Python и Go: строить процессы сбора, обработки и подготовки данных, развивать сервисы для работы рекламных таргетингов Контрибьютить в C++-код: дорабатывать существующую кодовую базу и логику работы таргетингов Взаимодействовать с ML-разработчиками, превращая новые алгоритмы и продуктовые идеи в production-решения Требования Что мы ожидаем: Опыт backend-разработки от трёх лет Уверенное знание Python и (или) Go, опыт разработки production-сервисов Опыт работы с Kafka и понимание принципов построения событийных систем Уверенное знание SQL, опыт работы с базами данных и оптимизации запросов Опыт разработки ETL-пайплайнов и обработки больших объёмов данных Понимание принципов построения надёжных и высоконагруженных систем Умение самостоятельно проектировать технические решения, писать поддерживаемый код и проводить code review Готовность разбираться в существующей кодовой базе на C++ и вносить в неё изменения Будет плюсом Опыт работы с YTsaurus или аналогичными платформами для хранения и распределённой обработки больших объёмов данных Опыт разработки на C++ Опыт работы с ML-системами или рекламными технологиями Проактивность и инициативность в поиске технических улучшений

Location: Москва Workplace: гибкий Ищем сильного Go-разработчика, готового присоединиться к разработке платформы VK Customer Experience Hub и переносу функционала в AI Space, принять участие в решении множества нестандартных задач. Задачи Взять на себя ответственность за разработку и поддержку нескольких ключевых подсистем, где важна надёжность и безопасность, поскольку работать надо с ценными данными Участвовать в проектировании и разработке критически важных фич системы, сопровождении и доработке текущих функциональных возможностей Требования Отличное знание Go, желательно знание Python Особенно важен опыт работы с БД и брокерами сообщения при высокой нагрузке. Плюсом будет опыт работы с ClickHouse, PostgreSQL, Tarantool, NATS, Kafka Отличное знание базовых алгоритмов и структур данных, понимание архитектурных паттернов Опыт проектирования и поддержки распределённых отказоустойчивых систем 24/7 Высокий уровень самостоятельности и коммуникабельности

Location: Москва Workplace: гибкий Команда развивает рантайм Новостей Дзена — высоконагруженную систему, которая формирует и доставляет новостную выдачу миллионам пользователей. Мы отвечаем за вторую половину новостного конвейера: получаем уже обработанные новости и сюжеты, формируем персонализированную выдачу и обеспечиваем её быстрый и стабильный показ на страницах Дзена. Это масштабная микросервисная система с высокими требованиями к скорости ответа, доступности и отказоустойчивости. Команда развивает пользовательскую функциональность Новостей, интеграции с другими продуктами и внутренние инструменты, а также оптимизирует инфраструктуру и работу с данными. Стек: Go, Python, YDB, YT, Redis, PostgreSQL, Kafka, Linux, Docker. Задачи Разработка новых функций и микросервисов на Go Развитие логики выдачи Повышение стабильности, доступности и производительности рантайма Проектирование взаимодействия сервисов Оптимизация работы с БД и развитие CI Требования Хорошее знание Go Умение писать эффективный и надёжный код Понимание принципов оптимального взаимодействия в высоконагруженных сервисах Будет плюсом Знание YDB или YT.

Location: Chicago; Minneapolis Workplace: Remote THE ROLE As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts in the North Central United States. This role serves our Enterprise segment across the North Central region, and the ideal candidate would be based in Minneapolis or Chicago. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard - and your job is to design something that satisfies all of them and then prove it at production scale. Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute. This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required - technical depth is non-negotiable. WHAT YOU WILL BE DOING - Own the technical evaluation for enterprise accounts - from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload. - Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room. - Design for production scale - sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am. - Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce. - Own the migration plan - sequencing, dual-run, validation, and cutover - so the customer's team can see exactly how they get to production. - Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements. - Partner closely with Enterprise AEs to progress and close opportunities - you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together. - Advocate for customer needs internally with Product and Engineering - you're the voice of the technical buyer inside ClickHouse. - Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working. WHAT YOU BRING - Deep technical foundation in data infrastructure - built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect. - Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them. - Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load. - Fluency across the modern data stack - Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level. - Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard. - Customer-facing experience with real stakes - pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers. - Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon. - Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall. - Willingness to say ClickHouse isn't the right tool for a given workload when that's true. 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: GE; PL Workplace: remote Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you’ll have the opportunity to: Work with modern data stack and AI tools to build complex solutions Design solutions to technical challenges and influence platform architecture Research, develop and integrate new data processing tools and technologies Key responsibilities: Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies Ensure pipeline performance and data quality through scalable architecture and optimization Refine data solutions as business requirements and technical constraints evolve Collaborate with teams to understand data needs and support adoption of data products across the company Required Experience: 5+ years of software engineering experience with expertise in development, deployment, and integration Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake Experience with sourcing and modelling data from application APIs Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others Strong analytical and problem-solving skills Upper-intermediate proficiency in English and strong command of Russian Nice to have: Experience with workflow orchestration tools such as Apache Airflow Experience with Kubernetes and containerization Familiarity with cloud platforms (AWS, GCP, Azure, OCI) Familiarity with CDC and Debezium Familiarity with Clickhouse Familiarity with data quality validation frameworks for data pipelines Familiarity with Data Lineage Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science 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

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Principle Python Engineer in Platform Architect team to join a healthcare technology initiative focused on building a modern, scalable platform for connected health data and digital healthcare experiences. This is a senior hands-on engineering role for someone who combines deep distributed-systems expertise, strong backend engineering skills, and architectural thinking . You will design and build platform capabilities used across multiple engineering teams, establish reusable architectural patterns, and help evolve a cloud-native healthcare platform operating at scale. What project we have for you The project is building a FHIR-based healthcare data platform that integrates data from EHRs, digital health applications, wearables, portals, and other healthcare data sources into a unified ecosystem. The platform operates at the intersection of health data interoperability, distributed systems, API platforms, cloud infrastructure, and AI-enabled healthcare experiences . Its architecture includes event-driven processing, federated GraphQL and REST APIs, FHIR services, high-volume data storage and analytics, and integration points for LLM- and agent-based capabilities. You will work horizontally across engineering teams rather than within a single product squad. The focus is on solving complex platform-level problems around scale, reliability, data consistency, interoperability, API governance, and production architecture . This is not an architecture-only position. You will be expected to design, prototype, build, review, and operate production systems , staying close to both the code and real-world system behavior. What you will do Design and build large-scale, event-driven distributed systems , including orchestrators, worker services, asynchronous processing pipelines, schema governance, and reliable consumer patterns. Define and implement platform architecture around Kafka , including topic and partition design, schema evolution, idempotency, consumer groups, retry strategies, and production failure handling. Own and evolve API architecture across REST and federated GraphQL , establishing scalable patterns for schema composition, versioning, contract evolution, and API governance. Design and build reusable platform capabilities that enable engineering teams to onboard new services and data sources with minimal custom implementation. Contribute directly to production code, prototypes, reference implementations, and technical proofs of concept. Partner with AI engineering teams to define reliable integration points for LLM- and agent-based capabilities , including retrieval, evaluation, guardrails, observability, latency, cost, and data-protection boundaries. Shape healthcare data architecture, including FHIR-based interoperability, terminology services, data-quality controls, high-volume storage, and analytical workloads . Drive architecture and technical design reviews, documenting key decisions, trade-offs, standards, and reusable engineering patterns. Use production telemetry, observability, and operational data to validate architectural decisions and troubleshoot complex distributed-system behavior. Establish architectural patterns for security, identity, multi-tenancy, scalability, resilience, and protected health data . Mentor senior engineers and technical leads in system design, distributed-systems engineering, and architectural decision-making. Collaborate closely with U.S.-based engineering, product, data, security, and AI stakeholders while working effectively across geographically distributed teams. Promote an AI-enabled engineering approach , using modern AI development tools where they improve engineering velocity, quality, analysis, documentation, testing, or architectural exploration. What you need for this 8+ years of software engineering experience , with significant experience designing and operating large-scale distributed systems. Strong hands-on backend engineering skills in Python and/or another modern backend language, with the ability to work effectively across a polyglot environment and solid experience building production-grade services and APIs. Proven experience designing event-driven architectures , ideally using Apache Kafka or comparable distributed messaging technologies. Deep understanding of distributed-system fundamentals, including partitioning, idempotency, back-pressure, eventual consistency, failure recovery, and consistency/availability trade-offs. Strong experience designing and evolving REST APIs and GraphQL-based architectures , including schema design, versioning, composition, and contract governance. Strong system-design skills and demonstrated ownership of complex systems from architecture through implementation and production operation. Experience with cloud-native architectures on AWS , including Kubernetes-based environments, observability, scalability, resilience, and production operations. Strong data architecture fundamentals: data modeling, storage strategies, query optimization, and designing systems for high-volume transactional and analytical workloads. Practical experience with modern data and storage technologies such as MongoDB, ClickHouse, Databricks, Spark , or comparable platforms. Understanding of identity and security concepts such as OIDC, OAuth/token exchange, authorization, multi-tenancy, and data isolation . Ability to work effectively across a polyglot technology environment and make architectural decisions based on system requirements rather than technology preference. Strong communication and technical leadership skills, including the ability to drive architecture discussions, technical design reviews, and engineering standards across multiple teams. Strong hands-on engineering mindset — able and willing to build production code, prototypes, reference implementations, and tooling rather than operating exclusively at an architectural level. Professional English sufficient for direct collaboration with U.S.-based engineering and product stakeholders. Experience with FHIR, HL7, EHR integrations, healthcare interoperability, or digital health platforms . Experience designing systems handling PHI/PII or other regulated and sensitive data . Nice to Have Familiarity with healthcare security and compliance requirements, including HIPAA-related architectural considerations. Experience with Java/Spring Boot, TypeScript/Node.js , or other languages used in large-scale backend ecosystems. Experience with federated GraphQL platforms such as WunderGraph Cosmo, Apollo Federation , or similar technologies. Practical experience integrating LLMs or AI agents into production systems , including retrieval, evaluation, guardrails, observability, latency, and cost considerations. Experience with AI-assisted software engineering tools such as Claude Code, GitHub Copilot, Cursor, or similar tools, and an ability to use them effectively throughout the engineering lifecycle. Experience establishing reusable platform patterns, architecture standards, or internal developer platforms used by multiple engineering teams. Previous Staff/Principal-level experience mentoring senior engineers and influencing architecture beyond a single team. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS Kafka Python

Location: EMEA Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across EMEA, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Hands-on Splunk experience - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote within EMEA, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. 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: Amsterdam Workplace: OnSite ABOUT US Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. ABOUT THE ROLE: We’re looking for a Senior Backend Engineer to help us build powerful, delightful features that empower restaurant teams. You’ll work across the stack to bring new ideas to life, whether it’s building intuitive interfaces, scalable backend services, or the glue in between that makes everything feel seamless. You’ll collaborate closely with design, product, and other engineers to rapidly ship impactful features. As an early team member, you’ll also help shape our engineering culture, tooling, and technical direction. This role is perfect for someone who thrives in fast-paced environments, loves solving real user problems, and wants to help modernize an underserved industry with thoughtful, elegant software. RESPONSIBILITIES: - Build, test, and ship end-to-end features across the stack—from APIs and data models. - Collaborate with designers and PMs to translate user needs into working, intuitive product experiences - Own projects from concept to launch and beyond, balancing speed, quality, and scalability - Improve system performance and reliability across frontend and backend systems - Help evolve our codebase and technical architecture as we scale - Contribute to shared tooling, component libraries, and best practices that level up the whole team WHAT YOU’LL NEED: - 8+ years of professional experience as a fullstack or backend engineer in a product-focused environment - Deep expertise in either Kotlin, Java, or Scala. - Significant experience with distributed systems. You know how to build and maintain scalable, resilient services that work together. - Experience with event-driven architectures (e.g., Kafka). - Good experience of relational databases, such as Postgres. - Comfortable working with APIs, relational databases, and docker - A product mindset, you care about the why behind what you’re building and optimizing for user impact - Ability to work collaboratively across functions and communicate clearly with both technical and non-technical stakeholders - Strong attention to detail and a sense of pride in crafting great user experiences What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

— Тестирование микросервисной архитектуры: функциональное, интеграционное и E2E. — Написание ручных и автоматизированных тестов на Java.

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer in our Unified Platform organization, you will design, build, and operate the data platform and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. Key Responsibilities Design, build, and operate managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration. Own technical designs and implementation decisions for services and components within the broader platform architecture, and lead their delivery from requirements through deployment and support. Automate provisioning, configuration, upgrades, and monitoring for managed services, reducing manual operations and improving consistency across deployments. Build and integrate metadata management tools, including data catalogs and lineage tracking, to help users discover datasets and understand their structure, ownership, and dependencies. Implement schema governance, data quality checks, access controls, and usage tracking in line with established policies, working with security and data stakeholders on technical requirements. Work with users of managed services to diagnose integration and performance issues, clarify technical requirements, and improve the services their workloads depend on. Improve the reliability and performance of managed services and shared processing infrastructure through observability, capacity management, and testing. Participate in production support and incident response for these services, resolving root causes and maintaining operational runbooks. Deliver platform upgrades and data migrations with appropriate validation and compatibility checks to protect downstream workloads. Lead design and code reviews for the services you own, document technical trade-offs, and contribute improvements to architectural patterns shared across the team. Mentor less experienced engineers through hands-on collaboration and feedback, promoting maintainable code, automated testing, and sound operational practices. Required Qualifications 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems. Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments. Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support. Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation. Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures. Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency. Experience with data processing or query technologies such as Flink, Spark, or ClickHouse , and the ability to evaluate their performance and operational trade-offs. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake. Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems. Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment. Desirable Qualifications Experience extending or scaling data catalogs or lineage tracking tools across multiple storage and compute technologies. Experience implementing access controls, usage tracking, or other governance capabilities in shared data environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $160,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

-Развивать HTTP API и бизнес-логику двух асинхронных Python-сервисов на FastAPI. -Проектировать и реализовывать RAG-пайплайны: retrieval, query rewriting, multi-hop поиск, сбор контекста, structured output, цитирование источников и обработку частичных ответов.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Accounts team sits within the Fanatics Betting and Gaming - Shared Services domain and owns the customer account lifecycle, from registration, login, and identity verification to the geolocation, eligibility, and responsible gaming controls that decide whether a customer is allowed to play. Accuracy and customer trust are the team’s core tenets, because customers trust us with their money, their identity, and their personal data. We are seeking a Senior Software Engineer to build and maintain the scalable, highly available, and compliant Java services behind the account lifecycle. This is a hands-on engineering role for someone who enjoys owning features end to end, solving complex integration problems, and working closely with product, compliance, and operations partners. This is a US-based remote position. Responsibilities Design, build, and maintain Java backend services using Spring Boot or similar frameworks. Deliver features across registration, KYC, login and MFA, device registration, account management, tax reporting, Fanatics ID integration, and watchlist monitoring. Build and maintain services that enforce regulatory and responsible gaming requirements, including geolocation, state and self-exclusion, prohibited persons, loss limits, and eligibility. Build integrations with third-party identity, verification, geolocation, and compliance providers, designing for failure, retries, and data integrity. Write scalable, well-tested services with strong unit and integration test coverage. Contribute to architecture and design discussions for APIs, event-driven systems, and data flows. Troubleshoot complex production issues and take part in the weekly on-call rotation, contributing to runbooks and post-mortems. Partner with Product, Technical Program Management, Compliance, Support, and client engineering to turn business and regulatory requirements into technical solutions, and take part in sprint planning and agile delivery. Mentor junior to mid-level engineering teammates through code reviews, design feedback, and pairing. Follow engineering best practices (CI/CD, testing, observability, feature flagging, documentation) and improve reliability and maintainability by addressing technical debt. Experience and Skills 5+ years of professional software engineering experience with Java. Strong experience building and supporting production Java backend services with Spring Boot or similar frameworks. Experience developing REST APIs and integrating distributed systems and data flows. Experience with event-driven architectures such as Kafka or similar messaging platforms. Experience working in AWS or other cloud environments. Experience with relational and NoSQL data stores such as Postgres and MongoDB. Experience using AI tools or coding assistants to improve engineering productivity. Experience with identity and account systems (registration, authentication, MFA, OAuth2/OIDC), KYC, fraud, or payments is preferred. Experience with compliance-driven systems such as geolocation, responsible gaming, or regulatory data handling is preferred. Experience building highly available, regulated, or enterprise-scale applications is preferred. Experience with observability tooling (for example Datadog) and operating services on call is a plus. Strong troubleshooting, ownership, and communication skills, with the ability to work independently and with cross-functional partners. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,000 — $180,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

• python 3 от 5 лет. • опыт работы с пакетами requests, flask, asyncio, celery, желательно fastapi, peewee/alchemy.

Сопровождение и администрирование кластеров kubernetes (прикладные java, nodejs); Что важно:

– Опыт разработки на Rust от 3-х лет. – Опыт проектирования, разработки и оптимизации отказоустойчивых модулей бизнес-логики на Rust с использованием async/await, Tokio, Futures.

Location: Москва АС Центр мониторинга и реагирования (ЦМиР) - это интеллектуальная интегрированная цифровая платформа, которая собирает/обрабатывает информацию о тревожных и технологических событиях из разных систем и предоставляет набор инструментов для работы операторов с инцидентами безопасности. Основная задача АС: снизить ущерб от реализованных преступных посягательств и повысить эффективность принятия управленческих решений по локализации инцидента в результате комплексного анализа данных и информационного обмена. Под капотом нашей платформы (технологический стек): \- В основе лежат SOLID принципы, система разделена на множество независимых микросервисов; \- геораспределенная инфраструктура, отлаженные CI/CD процессы; \- Backend: java 17, spring boot 3, gradle 7+, postgresql, igniteCache, kafka, feign; \- Frontend: React+TypeScript, микрофротенд, сборщик webPack. Обязанности * разработка и согласование системных требований для реализации изменений в автоматизированной системе * активное взаимодействие с владельцем продукта, разработчиками, тестировщиками и смежными командами * работа с заказчиком и выявление ключевых проблем и потребностей пользователей * управление и ведение документации по проекту * сопровождение этапов разработки и тестирования * разработка пользовательской документации * участие в функциональном тестировании и ПСИ * проведение демонстраций нового функционала целевым пользователям * разбор возникающих проблем при промышленной эксплуатации системы. Требования * опыт работы в роли системного аналитика от 3 лет * опыт по реализации интеграционных проектов * опыт проектирования прототипов интерфейсов * навыки проектирования API * знание SQL на базовом уровне * понимание производственного процесса разработки и поддержки ПО в разрезе различных методологий и подходов (Agile, Waterfall) * навыки работы с системами управления проектами (Jira, Confluence) * опыт использования BPMN и UML диаграмм * понимание форматов json, yaml * интерес к решению сложных нестандартных задач и желание развиваться в области анализа * ПРОактивная позиция, ответственность за результат * умение грамотно излагать свои мысли в устной и письменной форме * понимание архитектуры ПО и технологий интеграции АС Будет плюсом: * работа в проекте с микросервисной архитектурой * работа с брокерами сообщений, понимание принципа их работы * работа с высоконагруженными системами * навыки составления сложных запросов к БД для предоставления отчетности бизнесу * инструментальное владение AI для анализа, генерации и автоматизации Условия * комфортный современный офис в Москве * график работы – офис * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера

Мы ищем Full Stack разработчика с сильным упором на бэкенд для развития наших финтех-продуктов (брокерская торговая платформа). ▫️Разработка и поддержка бэкенда финтех-платформы на Python (FastAPI).