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Location: NAMER and LatAm; San Francisco 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 the Americas, 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 - 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 in North America, 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 Support Services team in the Americas, alongside Support Engineers and TAM Architects - 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Platform Engineer at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications. WHAT YOU’LL DO - Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem - Architect, build, and manage Kafka-based event streaming systems that power real-time data flows and mission-critical financial workflows - Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams - Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products - Partner closely with engineering, data, and AI teams to solve complex distributed computing challenges in a secure, cloud-native AWS environment YOU BRING - 7+ years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments - Strong hands-on experience designing, operating, and scaling Kafka-based event-driven architectures - Deep expertise in distributed systems, asynchronous processing, and high-availability platform services - Production experience in AWS cloud environments and building cloud-native infrastructure - Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Japan 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 Japan, 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 and Japanese NICE TO HAVE - Experience with ClickHouse - 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 anywhere in Japan, with travel to customers in Tokyo - 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 APJ Support Services team, alongside Support Engineers and TAM Architects - 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 - An in-person meeting with our local head of solutions architecture - 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.

Задачи: — Разрабатывать системы анонимизации данных. — Создавать сервисы поставки данных на ML-платформу. — Улучшать производительность и надежность сервисов. — Участвовать в дизайне архитектуры и принятии технических решений. — Устранять аварии и обеспечивать соблюдение SLA. Требования: — Опыт коммерческой разработки на Scala от 3 лет. — Отличное знание Apache Kafka. — Понимание и опыт применения принципов разработки распределенных отказоустойчивых высоконагруженных систем. Хорошо, если есть: — Опыт разработки на Java. — Опыт работы с Kafka Streams или Spark Streaming. — Знакомство с Akka. Условия: — Трудоустройство в аккредитованную ИТ-компанию. — Возможность работать удалённо.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. As a Staff Software Engineer , you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship. This is a full-time, fully remote position. We do expect the successful candidate to come to the Oakland, CA office from time to time. Technologies You'll Use Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality Coach and mentor engineers, demonstrably improving the quality of code across the team Write technical specs, document common components, and keep the team accountable for necessary project documentation Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own Participate periodically in the on-call rotation Skills We're Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Deep expertise designing and owning subsystems in distributed, cloud-based systems Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience architecting metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Australia; Melbourne; Sydney 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 APJ, 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 - 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 in Australia, based in Sydney or Melbourne - 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 APJ Support Services team, alongside Support Engineers and TAM Architects - 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.

Задачи: - Разработка новых фич и участие в создании продукта с нуля. - Модернизация архитектуры и рефакторинг legacy-кода. - Проектирование и реализация сервисов на Java / Spring Boot. - Работа с Kafka, Docker, GitLab, Kubernetes. - Участие в Code Review и Agile-процессах. - Взаимодействие с Product Owner, разработчиками и дизайнерами. Требования: - Опыт коммерческой разработки на Java / Spring Boot от 3 лет. - Знание Maven, GitLab, Kafka, Docker. - Базовое знание Kubernetes. - Опыт работы с Oracle PL/SQL: пакеты, процедуры. - Опыт работы с микросервисной архитектурой. - Понимание Agile и практики Code Review. - Опыт рефакторинга и работы с legacy-кодом. Условия: - График 5/2 с выбором времени начала рабочего дня. - Гибридный формат работы после испытательного срока. - Конструктор льгот на выбор: ДМС, компенсация такси, авиа- или железнодорожных билетов, оплата спортивных секций. - Корпоративное обучение, доступ к Coursera, курсы английского и казахского языков. - Возможность участвовать в создании и развитии ключевых инфраструктурных решений финансового рынка.

Location: London, UK The Data Platform Architect is the premier technical authority within Data Engineering. Serving as a senior individual contributor, this role owns the end-to-end technical strategy and system architecture of the data platform. Operating with a high degree of autonomy, the Data Platform Architect partners closely with EPD (Engineering, Product, Design) leadership to make critical high-stakes architectural decisions, establish company-wide data patterns, and ensure platform alignment with long-term business goals. Own the architectural blueprint and long-term technical vision for the global data platform, sequencing delivery incrementally to avoid high-risk migrations. Architect the analytics, semantic, and AI data layers to securely expose trustworthy metrics, feature usage signals, and skill intelligence models across the enterprise. Address and resolve high-complexity architectural challenges surrounding multi-tenant isolation, consistency, streaming/batch processing performance, and data contracts. Formulate architectural standards, governance frameworks, and data modeling conventions adopted across engineering teams. Oversee platform-level observability, data quality frameworks, SLAs, and lead root cause analysis (RCA) on systemic platform failures. Guide and mentor senior engineering staff on system design, technical trade-offs, and architectural decision-making. Proven experience in a Data Platform Architect or Staff-level Data Engineering role designing and scaling enterprise data platforms. Deep expertise in data architecture, data warehousing, data lakes, and both real-time (streaming/CDC) and batch processing paradigms. Strong hands-on proficiency in Python for back-end engineering and platform-level software design. Demonstrated expertise in modern data transformation frameworks, specifically complex dbt project architecture. Extensive background in SQL and NoSQL database schema design, modeling at scale, and multi-tenant isolation patterns. Experience with Infrastructure as Code (IaC) and containerization frameworks (e.g., Terraform, Kubernetes) to support platform infrastructure. Expertise in defining data quality, observability, data contract, and incident management standards. Exceptional executive-level communication and stakeholder management skills with a proven ability to articulate architectural trade-offs. Hands-on experience with TypeScript / Node.js back-end environments. Practical familiarity with BigQuery, PostgreSQL, MongoDB, and Apache Kafka. Experience integrating customer event collection platforms (e.g., Segment) into unified data architectures. Direct experience designing data modeling architectures for AI, ML, or agentic workloads.

Location: Ukraine; Poland; Romania; Spain; Portugal; Germany About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for an Engineering Manager to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform. The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations. As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability. You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus. Tech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis Team setup: 2 teams Work Environment: ​​flexible As a qualified expert You will Own delivery and engineering outcomes for DataTech teams Be accountable for delivery, velocity, quality, reliability and scalability Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements Ensure strong SDLC execution and technical quality Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment Identify execution gaps and work with SDE Leads to improve how delivery works Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices Plan and manage capacity Own short- and long-term capacity and capability planning Allocate people in line with DataTech priorities and delivery commitments Surface capacity and delivery risks and drive mitigation Own product quality, reliability and operations Be accountable for stability, reliability, performance and overall quality Ensure effective platform-wide customer support, incident management, observability and other operational processes Balance delivery with technical health and operational needs Lead and grow engineers and SDE Leads Manage engineers and SDE Leads through coaching, feedback, growth and performance management Build and evolve teams through hiring, onboarding and shaping the right skill mix Maintain healthy team dynamics and address people issues early Strengthen ways of working and collaboration Improve engineering practices where they help teams deliver more effectively Partner with Product, Data and other domains to align plans and manage dependencies Contribute to domain-level planning and cross-team collaboration We’re looking for you if you have Proven engineering leadership experience managing multiple software/data engineering teams Strong hands-on experience in software development, primarily with the Java stack Strong track record of delivery, including improving planning, prioritization and execution Ability to use delivery data, visualization and reporting to identify problems and drive improvements Strong people-management skills: coaching, performance management and team development Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD Clear communication and collaboration skills with technical and non-technical stakeholders Ownership mindset: accountable for delivery as well as long-term quality and maintainability Excellent written and verbal communication skills in English Bonus points Experience in DataTech-like domains (data ingestion, processing, curation). Familiarity with Stream-Aligned Teams / Team Topologies. Experience working with Architecture, Platform, SRE and other enabling teams. Experience improving observability, reliability and incident management for backend/data services. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Manager screening Tech Interview Architecture interview HRBP Interview TPM Interview Client Interview

Задачи: — разработка и поддержка высоконагруженных приложений на Go; — участие в проектировании и реализации сложных бизнес-логик; — оптимизация производительности и обеспечение надежности приложений; — взаимодействие с командой и другими подразделениями для достижения общих целей. Требования: — опыт разработки на Go от 5 лет; — уверенные знания SQL; — опыт работы с Kafka, Redis и Ory Hydra будет преимуществом; — понимание принципов проектирования масштабируемых систем; — командный игрок с готовностью учиться и делиться знаниями. Условия: — достойный уровень заработной платы; — возможна релокация на Кипр с полным визовым сопровождением для вас и членов вашей семьи; — поездки на ИТ-конференции, митапы, учебные курсы за счет компании; — гибкое начало рабочего дня; — новогодняя премия до 1-го оклада. Формат работы: удалёнка вне РФ или обязательна релокация на Кипр.

Задачи: - Развивать и поддерживать backend-сервисы продукта «Циан.Сделка»; - Проектировать и реализовывать новые продуктовые возможности вместе с командой разработки, аналитиками и продуктом; - Работать с микросервисной архитектурой и интеграциями между сервисами; - Участвовать в проработке технических решений, декомпозиции задач и развитии архитектуры продукта; - Анализировать и оптимизировать производительность сервисов и баз данных; - Работа будет важной частью пути продукта от идеи до воплощения. Требования: - Опыт коммерческой разработки на Python от 3+ лет, применение асинхронных фреймворков; - Умение писать поддерживаемый и тестируемый код; - Опыт проектирования микросервисной архитектуры и архитектуры БД; - Рассуждение в технических вопросах от бизнеса; - Умение оптимизировать производительность приложения и базы данных; - Желателен опыт с Kafka, ELK, Sentry, Grafana, SQLAlchemy, Docker, Kubernetes, Jenkins.

Задачи: - Работать с DevTools (Elements, Console, Network, Application) - Тестировать REST API с помощью Postman и Swagger - Работать с Unix-консолью - Тестировать интеграции через Kafka UI / RabbitMQ Management / Offset Explorer - Смотреть и анализировать серверные логи в Kibana / OpenSearch и т.д. - Писать SQL-запросы средней сложности (СУБД - PostgreSQL, отправлять запросы через DBeaver) - Тестировать мобильное приложение на эмуляторах (Android Studio) и реальных устройствах - Писать API-тесты с проверкой структуры ответов, статусов, бизнес-логики - Применять Pytest — параметризацию, фикстуры, плагины, хуки - Применять httpx или requests для HTTP-взаимодействия с API - Работать с Playwright для автоматизации веб-интерфейсов (UI-тесты, сценарии) Требования: - Коммерческий опыт тестирования ПО от 4 лет и опыт автоматизации тестирования от 2 лет - Понимание жизненного цикла разработки ПО (SDLC) и процессов тестирования - Опыт работы в Agile/Scrum/Kanban-командах - Навыки чтения и анализа технической документации, логов, DTO - Способность создавать и поддерживать тестовую документацию (тест-кейсы, чек-листы, баг-репорты) - Опыт тестирования веб- и мобильных приложений (Android) будет плюсом - Опыт тестирования high-load систем - Опыт работы с Docker - Знание CI/CD

Задачи: — Разрабатывать backend-сервисы на Golang. — Создавать и поддерживать интеграции между внутренними сервисами и CRM-платформой. — Развивать событийную архитектуру и проектировать обмен данными между микросервисами. — Оптимизировать взаимодействие сервисов и участвовать в развитии технической архитектуры команды. Требования: — От 5 лет коммерческой разработки и уверенный опыт с Golang. — Практический опыт разработки микросервисов с использованием PostgreSQL, Kafka и HTTP/gRPC. — Понимание принципов построения асинхронных распределенных систем и интеграционных решений. — Опыт реализации надежной обработки сообщений (DLQ, Inbox/Outbox или аналогичные паттерны). — Будет преимуществом опыт работы с NATS, Tarantool или маркетинговыми CRM-платформами. Условия: — Полная занятость. — Долгосрочный проект в крупной продуктовой компании.

Задачи: — Разработка и оптимизация высокопроизводительных C++ приложений для инфраструктуры трейдинга с низкой задержкой. — Улучшение подключения к биржам. — Работа с системами, где важна каждая микросекунда. О проекте: Клиент — proprietary trading компания, специализирующаяся на высокочастотной и алгоритмической торговле. Команда разрабатывает собственную инфраструктуру, рыночные подключения и количественные технологии для автоматизированной торговли. Стек технологий: C++17/20, REST, WebSockets, FIX, Python, Kafka, AWS, Kubernetes, Kibana, Grafana, Prometheus. Локация: Удалённая работа для кандидатов из Европы, Великобритании или Индии. Предпочтение кандидатам, готовым к переезду в Дубай (предоставляется полная поддержка релокации). Работа с: — высоконагруженными системами с низкой задержкой; — подключением к биржам; — производственной инфраструктурой трейдинга; — оптимизацией задержек; — взаимодействием с командами инженеров, трейдеров и аналитиков данных.

Задачи: • Разработка и развитие backend-сервисов на Python • Проектирование и реализация микросервисов в Event-Driven архитектуре • Разработка высоконагруженных асинхронных сервисов с использованием AsyncIO • Интеграция сервисов через Kafka и Redis Pub/Sub • Работа с PostgreSQL и оптимизация взаимодействия с базой данных через SQLAlchemy • Проектирование REST API и внутренних сервисных интерфейсов • Написание unit- и интеграционных тестов, обеспечение качества собственного кода • Настройка и поддержка логирования, метрик и трассировки для мониторинга сервисов • Участие в проектировании архитектурных решений и проведении code review • Взаимодействие с аналитиками, DevOps и другими разработчиками при реализации функциональности • Оптимизация производительности, отказоустойчивости и масштабируемости сервисов Требования: ✔️ Коммерческий опыт разработки на Python от 4 лет ✔️ Опыт разработки backend-сервисов на FastAPI или Litestar (Starlite) ✔️ Уверенное владение AsyncIO/concurrency/multiprocessing ✔️ Опыт работы с Kafka ✔️ Опыт использования Redis (желательно Redis Pub/Sub) ✔️ Уверенный опыт работы с PostgreSQL и SQLAlchemy ✔️ Понимание принципов наблюдаемости сервисов и опыт работы с логированием, метриками и трассировкой (Prometheus, Grafana, OpenTelemetry, Jaeger и др.) ✔️ Практический опыт разработки микросервисов ✔️ Опыт работы с Docker, Git, CI/CD ✔️ Опыт работы с Event-Driven системами; преимуществом будет опыт их проектирования и разработки с нуля ✔️ Опыт самостоятельного тестирования собственного кода (pytest или аналогичные инструменты) Будет преимуществом: ✔️ Понимание различных архитектурных подходов помимо Event-Driven ✔️ Опыт проектирования архитектуры сервисов с нуля ✔️ Опыт работы в высоконагруженных распределенных системах ✔️ Опыт использования AI Coding Agents (например, GitHub Copilot, Cursor, Windsurf, Claude Code и др.)

Технологии, с которыми ты будешь работать: Java 21, Project Reactor, Spring / Vert.x, Kafka, Redis, MongoDB, Elasticsearch. От вас требуется: Коммерческий опыт от 3 лет и выше; Знания языков Java 17; Опыт работы с фреймворком Spring; Опыт работы с базами данных ( MongoDB, Redis, ElasticSearch); Опыт работы с очередями Kafka; Опыт работы с микросервисами; Вам предстоит: Построение и развитие архитектуры информационных систем и БД; Сопровождение внедрённых программ и программных средств; Контроль качества разработки ПО (Code Review); Архитектурный контроль и межсистемная интеграция.

Задачи: - Разрабатывать REST API с использованием FastAPI; - Проектировать и реализовать backend-сервисы с нуля; - Проводить интеграции с базами данных и системами обмена данными; - Обеспечивать масштабируемость и отказоустойчивость сервисов; - Писать и поддерживать автоматизированные тесты; - Настраивать и поддерживать CI/CD процессы для непрерывной интеграции; - Участвовать в планировании задач и работе по методологии Scrum; - Тесно взаимодействовать с командой для оперативного решения технических вопросов. Требования: - Сильные инженерные навыки, самостоятельность, понимание полного цикла доставки приложения; - Уверенный опыт настройки и использования CI/CD, работы с Docker и Kubernetes; - Понимание DevOps-культуры, умение написать и поддержать Helm-чарт/Dockerfile, разобраться с деплоем, настроить базовый мониторинг и алертинг; - Глубокие знания Python и опыт работы с FastAPI; - Опыт работы с PostgreSQL, ClickHouse, Kafka, Redis, Spark; - Умение писать чистый, поддерживаемый код с соблюдением best practices и знание архитектурных паттернов; - Опыт работы в высоконагруженных системах и решения реальных задач на production; - Аналитический склад ума, системное мышление и готовность самостоятельно доводить задачи до конца; - Продвинутое знание инструментов мониторинга (Prometheus, Grafana, Opensearch/ELK); - Глубокий опыт в DevOps, опыт работы с Triton Inference Server и другими инструментами деплоя ML-моделей будет плюсом.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Responsibilities Design, build, and maintain backend services and REST APIs using Python(Django/FastAPI) Write efficient queries and manage data models in PostgreSQL Work with Redis for caching, queues, and improving service performance Collaborate with frontend and QA engineers to ship end-to-end features Write clean, tested, well-documented code and participate in code reviews Debug and optimize existing services for performance and scale Work with large datasets related to blockchain transactions (exposure to tools like ClickHouse is a plus) Required Skills Strong fundamentals in Python and object-oriented programming Understanding of Django/FastAPI or any Python web framework Working knowledge of relational databases (PostgreSQL preferred) — schema design, indexing, query optimization Basic understanding of caching concepts and tools like Redis Understanding of REST API design principles Strong problem-solving and DSA fundamentals (arrays, trees, graphs, hashing) Familiarity with Git and collaborative version control workflows Good to Have Exposure to Docker/containers Familiarity with message queues (Celery, Kafka, RabbitMQ) Personal projects, open-source contributions, or competitive programming profile Curiosity about blockchain/crypto — no prior crypto knowledge required Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, or similar AI-assisted coding tools) Eligibility Final year (graduating 2027) B.Tech/B.E./Dual Degree students From IIT / NIT / IIIT only CSE, IT, or closely related computer science branches only Strong academic record and demonstrated coding ability (via projects, competitive programming, or coursework) Preference given to candidates with open-source contributions, external/personal projects beyond academic coursework, and prior internship experience           Duration: 1 year        Work Mode: Hybrid (3 days/week in office, 2 days work-from-home)        Stipend: [As per company policy]        Post-internship: High performers may be offered a full-time role, subject to a 2-year service lock-in period ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.