Location: United States (Remote)
Workplace: Remote
ROLE SUMMARY
Temporal is looking for a Senior Software Engineer to join the Open Source Server team.
This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset.
We do not expect one person to cover all of these areas. We're looking for an engineer who is excited to learn the system, contribute across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal.
This is a hands-on engineering role where you'll collaborate with experienced engineers to design, build, and operate the core of Temporal's distributed systems platform.
WHAT YOU'LL DO
- Design, implement, and ship features for the Temporal server.
- Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features.
- Make thoughtful engineering tradeoffs across developer experience, performance, and operability requirements.
- Partner with engineers, product managers, cloud teams, and customer-facing teams to build scalable technical solutions.
- Improve the reliability and operability of the server through testing, observability, dashboards, alerts, runbooks, and documentation.
- Participate in design discussions and code reviews to help maintain a high-quality codebase.
- Contribute to improving the developer experience for both open source users and enterprise customers.
- Mentor junior engineers and share knowledge with teammates.
WHAT YOU'LL BRING
- 5+ years of experience building and operating production distributed systems.
- Strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance.
- Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency.
- Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels.
- Experience building high-scale or performance-sensitive backend services, such as request-serving systems, task queues, scheduling systems, streaming or replication pipelines, rate limiting, sharding, load balancing, workflow engines, or orchestration systems.
- Strong debugging, troubleshooting, and operational skills with a focus on reliability and observability.
- Experience designing and building backend APIs or platform services.
- Ability to work collaboratively across engineering teams and contribute to technical discussions.
- Experience with open source software or communities is a plus.
- Experience with AWS, Azure, or GCP is a plus.
- Experience with technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus.
- Experience with Kubernetes, CRDs, KEDA, or Argo is a plus.
WHAT MAKES YOU A GOOD FIT
- You enjoy solving challenging distributed systems problems while keeping the developer experience in mind.
- You like learning large codebases and making meaningful technical contributions over time.
- You take ownership of your work and collaborate well with teammates.
- You enjoy balancing technical depth with practical engineering decisions.
- You don't need prior Temporal experience, but you're excited to work on the core of a distributed system used by a large open source community and enterprise customers.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: United States
Workplace: Remote
ABOUT THE TEAM
Most providers make customers migrate their data to them. We're doing the opposite: bringing ClickHouse Cloud into the environments our customers already trust, so their data stays useful right where it lives.
Those environments come in a few shapes. Some are major cloud data platforms that run ClickHouse as a native service, so customers get it without leaving the tool they already use. Some are BI and visualization tools that need ClickHouse to show up as a fast, first-class data source behind their dashboards. And some are developer and data platforms we connect through marketplaces and identity federation with a couple of clicks or agentic calls. Every integration is unique, but the goal is the same every time: ClickHouse should feel like a first-class citizen in every environment.
The craft is finding the patterns underneath different integrations. As one of the first backend engineers, you'll help shape the technical defaults for this team. You'll have end-to-end ownership, but you'll also work inside the constraints of platforms you don't own: thin documentation, unfamiliar deployment topologies, and timelines governed by partner approval cycles. A lot of the challenge is engineering across trust boundaries you don't fully control.
You won't be doing it alone. You'll work closely with your engineering manager, the product manager, a growing team, and experienced engineers across the broader org. If that sounds like your kind of challenge, let's talk.
WHAT YOU'LL DO
You'll own an integration end to end: the design, the code, and the production system that keeps running after launch. The patterns you set there become defaults the rest of the team builds on.
Day to day, that looks like:
- Owning the architecture: auth and identity flows, multi-tenancy, how data moves and where it's allowed to live, performance, and what happens in production
- Running what you build. Which means owning the infrastructure, CI, deployment, observability behind it and on-call
- Working on top of external platforms you can't change, and being straight about which risks are yours to manage and which aren't
- Partnering closely with the internal teams whose services you depend on: iterating on product requirements, agreeing on interfaces and protocols, and proactively finding ways to keep moving
ABOUT YOU
These are the attributes of someone who will perform well in this role:
- 8+ years building software, with a good chunk of it on data-heavy or integration-flavored systems
- Preferably proficient in TypeScript or Go or comfortable contributing to each
- Solid backend and systems instincts. You can reason about deployment topology, multi-tenancy, and data movement, and you're comfortable owning architectural tradeoffs you'll have to live with later
- You've worked with modern auth protocols, service principals, and identity federation, and you know how to get it right across a trust boundary
- You've built on someone else's platform and know what that's actually like: incomplete docs, unintended breaking changes, etc.
- You're comfortable in ambiguity. You can ship before the spec is finished, make sensible calls under uncertainty, and flag the decisions that'll be hard to undo to your team before we bake them in.
- You're good with other engineers. Much of the work runs through teams you don't own, and you earn their trust by how you think, not just what you commit.
- You're mainly a backend engineer, but you're comfortable enough to touch a modern React app
- You use AI tools well and honestly. Reach for Claude Code, Cursor, Copilot, or whatever helps, and be clear about where you did and didn't
- You write well. Most of how we coordinate happens async in chats, design docs and RFCs
NICE TO HAVE
None of these are required, but any of them would be a bonus:
- Close familiarity with a major cloud data or analytics platform ecosystem
- Real depth in auth and identity federation, or experience building to a partner's security review, marketplace requirements or certification requirements
- Hands-on experience designing multi-tenant SaaS platforms, or the isolation and deployment topology behind them
- Working knowledge of ClickHouse, or another columnar / OLAP engine
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: Singapore; Australia
Workplace: Remote
We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud.
What will you do?
- Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
- Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
- Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
- Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
- Continuously improve the reliability and performance of our ClickHouse services.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
- Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.
About you:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 8 years of experience in Site Reliability Engineering or a related field.
- Previous experience using ClickHouse in production.
- Hands on experience with Go and/or Python.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
- Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm.
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability, and data governance.
- You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability.
- Excellent communication and interpersonal skills.
Note: We can only hire for candidates with a valid work authorization status in the UK, Netherlands, Sweden, Germany, France, Spain, Italy, Portugal, Poland or Czech Republic at this time.
#LI-Remote
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
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
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: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems.
We are hiring a
Senior Database Reliability Engineer
to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations.
PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely.
Your Responsibilities:
Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation.
Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans.
Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use.
Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata.
Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention.
Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues.
What Success Looks Like:
PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures.
Repeated DBA tickets become automation or self-service workflows.
ClickHouse operational knowledge is no longer a single-person dependency.
Database incidents have owners, runbooks, evidence, and measurable recovery paths.
Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability.
Why CloudLinux?
You will work on real production infrastructure used across CloudLinux and TuxCare products.
You will have a direct impact on reliability, incident response, developer experience, and operational resilience.
You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model.
Requirements
What We Expect From You:
Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth.
Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing.
Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery.
MongoDB replica sets and Percona Backup for MongoDB.
Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting.
Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages.
Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it.
Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions.
English - upper-intermediate or higher - to ensure clear communication of progress within the teams.
Nice to Have:
ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery.
Redis/Sentinel and broker/cache failure modes.
Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks.
Building internal platforms, self-service portals, or DBaaS workflows for engineering teams.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Задачи:
— Проектирование, разработка, оптимизация и поддержка ETL процессов для загрузки данных из различных источников
— Управление потоковой обработкой данных с использованием Apache Kafka (разработка продюсеров/консьюмеров, управление топиками, обеспечение надежности и отказоустойчивости)
— Разработка и оптимизация структур данных, схем и запросов в PostgreSQL для операционных и транзакционных задач
— Построение, администрирование и тонкая настройка ClickHouse кластеров для обеспечения высокой производительности аналитических запросов на больших объемах данных
— Разработка и поддержка решений на базе ClickHouse (или связки PostgreSQL + ClickHouse)
— Интеграция данных между PostgreSQL, Kafka, ClickHouse и другими компонентами инфраструктуры (API, очереди, S3)
— Мониторинг производительности, отказоустойчивости и безопасности data pipeline и баз данных
— Автоматизация процессов обработки данных и развертывания (CI/CD)
— Взаимодействие с аналитиками, разработчиками и product owner'ами для понимания потребностей в данных и их реализации
— Устранение неисправностей в pipeline данных и базах данных
Требования:
— Опыт работы от 2-х лет на Python, знание Golang (будет плюсом)
— Опыт разработки и администрирования ClickHouse (знание особенностей движков таблиц, оптимизация запросов, кластеризация, репликация, шардирование)
— Глубокое понимание и практический опыт работы с Apache Kafka, настройка и обеспечение надежности потоков данных
— Опыт работы с PostgreSQL (написание сложных SQL-запросов, оптимизация производительности, понимание механизмов транзакций, репликации)
— Понимание принципов построения ETL процессов
— Знание SQL на продвинутом уровне
— Понимание принципов DevOps (Docker, Kubernetes, Linux, CI/CD) применительно к инфраструктуре данных
Задачи:
- Проектировать компоненты систем
- Организовывать процесс разработки
- Писать код и проводить код-ревью
- Писать тесты на свой код
- Наставлять и менторить младших коллег
Требования:
- Опыт промышленной разработки на Python от 3 лет
- Отличное знание Python 3
- Опыт многопоточного и асинхронного программирования
- Умение работать с фреймворками FastApi, Flask или другими
- Умение работать с реляционными СУБД — PostgreSQL и MySQL
- Опыт проектирования отдельных сервисов или распределенных систем
- Плюсом будет опыт использования Kafka, Cassandra, Clickhouse, Redis и Elasticsearch
Location: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Location: Austin
(Hybrid)
About the team.
The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives.
About the role
We are looking for a Systems Engineer to join our Austin team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse.
What you'll do
Design and implement key features of our internal applications
Work closely with a cross functional team to design features and solutions that solve critical business problems
Contribute in improving an evolving platform architecture for scalability, observability and reliability
Continuously involved in knowledge sharing and mentorship
Examples of desirable skills, knowledge and experience
B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
Experience working with Go, Python, Java, or equivalent programming languages
Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL
Experience with CI/CD, Gitlab CI
Excellent communication & problem solving skills
Ability to collaborate with cross functional teams and work through ambiguous business requirements
Bonus Points
Familiarity with container based deployments such as Docker & Kubernetes
Familiarity with Google Cloud Platform or something similar
Familiarity with Javascript, Typescript, and React
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
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or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Canada
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Germany
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: Spain
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across e
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: Israel
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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.
RELOCATION TO CYPRUS | EXNESS
Location: Based in Limassol office, Cyprus. Full relocation support available for you and your family.
Company: Leading trading broker handling 40M+ trades a day with 2,000+ people across 13 countries serving 1M+ clients worldwide.
What you will do:
— Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports
— Define, standardize, and maintain key business metrics and KPIs across teams
— Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions
— Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau
— Ensure data quality, consistency, governance, and automate reporting processes
— Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making
Requirements:
— English proficiency (check if needed)
— Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science
— 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development
— Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks)
— Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics
— Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics
Nice to have:
— Tableau Certified Data Analyst or Architect
— Experience with Semantic Layer / metrics layer / analytics engineering tools
Culture & Benefits:
— Competitive salary and annual bonus
— Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance
— 21 days annual leave, public holidays, paid sick/maternity/paternity leave
— Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten
— Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption
— Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme
Hiring process:
— Intro call with Recruiter (30 min)
— English check (if needed)
— Tech interview (90 min) + Test Task (up to 5 days)
— Behavioural (60 min) + Final interview (30 min)
ОфисBI ANALYST | RELOCATION TO CYPRUS | EXNESS #relocation to #cyprus #fulltime #itjob #analyst #bi https://teletype.in/@courierus/upN8m_rO5iQ; RELOCATION TO CYPRUS | EXNESS Location: Based in Limassol office, Cyprus ; Full relocation support available for you and your family; What you will do Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports Define, standardize, and maintain key business metrics and KPIs across teams Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau Ensure data quality, consistency, governance, and automate reporting processes Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making Requirements English proficiency (check if needed) Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks) Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics Nice to have Tableau Certified Data Analyst or Architect Experience with Semantic Layer / metrics layer / analytics engineering tools Culture & Benefits Competitive salary and annual bonus Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance 21 days annual leave, public holidays, paid sick/maternity/paternity leave Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme Hiring process Intro call with Recruiter (30 min) English check (if needed) Tech interview (90 min) + Test Task (up to 5 days) Behavioural (60 min) + Final interview (30 min) APPLY
Требования:
- Опыт коммерческой разработки на Java не менее 3 лет;
- Опыт работы со Spring Boot, REST API, PostgreSQL, Apache Kafka;
- Понимание принципов микросервисной архитектуры: REST API, JSON, HTTP/HTTPS, микросервисная архитектура, многопоточность, разработка высоконагруженных приложений, интеграционные сервисы, понимание принципов проектирования БД и оптимизации запросов;
- Технологический стек: Java 17/21, PostgreSQL, ClickHouse, Spring Boot, Spring Data, Spring Security, Maven/Gradle, Hibernate/JPA, Redis Client, OpenAPI/Swagger, Docker (желательно), Kubernetes (желательно), Git, GitLab CI/CD, Jenkins, JUnit, Mockito, Postman.
Обязанности:
- Разработка и сопровождение серверной части кредитного конвейера для продуктов розничного кредитования.
- Реализация бизнес-логики обработки кредитных заявок, скоринговых сценариев и маршрутизации заявок между этапами рассмотрения.
- Разработка интеграций с внутренними и внешними информационными системами (банки, государственные сервисы, бюро кредитных историй, ЭЦП и другие партнерские сервисы).
- Реализация взаимодействия с базами данных, брокерами сообщений и микросервисной инфраструктурой.
- Разработка REST API и сервисов обмена данными, обеспечение надежности и производительности системы.
- Участие в проектировании архитектуры, реализации ключевых компонентов кредитного конвейера и оптимизации бизнес-процессов.
- Анализ и устранение дефектов, оптимизация производительности и сопровождение промышленной эксплуатации системы.
Условия:
- Г.Астана оффлайн, офис рядом с хан шатыр;
- Официальное трудоустройство согласно ТК РК;
- Своевременная выплата заработной платы;
- Ежегодная премия по результатам KPI;
- Отпуск 24 к.д.;
- Обучение, тренинги, курсы за счет средств организации.
- Заработная плата: до 900 000 тг
Задачи:
— Разрабатывать и поддерживать микросервисную архитектуру
— Интегрировать платежные системы и игровые агрегаторы
— Развивать существующие платежные модули и создавать новый функционал
— Проектировать базы данных, оптимизировать запросы и участвовать в миграциях
— Работать с инфраструктурой (Docker, Kubernetes, AWS)
— Взаимодействовать с backend-командой, QA и продуктом
— Участвовать в code review и технических обсуждениях
Требования:
— 3–6 лет коммерческого опыта в Backend-разработке
— Уверенное знание Node.js и NestJS
— Опыт работы с JavaScript и TypeScript
— Опыт проектирования и разработки микросервисов
— Хорошие знания PostgreSQL, MongoDB и Redis
— Опыт работы с Docker, Kubernetes, RabbitMQ и AWS
— Понимание принципов построения отказоустойчивых и высоконагруженных систем
— Английский язык от уровня B2
Будет плюсом:
— Опыт с Go
— ClickHouse
— Unit и Integration Testing
— Опыт в Live Casino, Streaming или Real-Time системах
Условия:
— Новый продукт и возможность влиять на его развитие с самого начала
— Современный технологический стек
— Международная команда
— Официальное трудоустройство для сотрудников в Праге
Задачи:
— Сотрудничать в планировании, проектировании, разработке, развертывании и улучшении продуктов интеграции данных и хранилища данных (DWH).
— Разрабатывать, создавать и поддерживать тестовые наборы для проверки корректности и точности процессов интеграции данных и ETL.
— Внедрять AI-интеграцию (агенты, большие языковые модели) в процессы QA, включая мониторинг, тестирование, обеспечение качества данных и автоматизированный код-ревью.
— Совместно с командой определять и описывать политики, стандарты и руководства по данным для других команд.
— Участвовать в проектировании и реализации процессов сверки, мониторинга, оповещений и других процессов обеспечения качества данных.
— Исследовать проблемы качества данных и работать над их улучшением.
— Обеспечивать качество решений с данными, поддерживающих бизнес-требования.
— Помогать в определении и внедрении лучших практик в команде для обеспечения качества решений с данными.
— Совместно с командой устранять и решать возникающие проблемы.
— Анализировать и тестировать новые функции перед их запуском.
— Участвовать в приёмочном тестировании пользователями.
Требования:
— Опыт работы Quality Assurance Engineer не менее 4 лет.
— Опыт использования AI-инструментов и агентов (Cursor, Claude Code, Codex) для повышения эффективности QA и оркестрации процессов.
— Экспертные знания SQL, особенно ClickHouse.
— Опыт автоматизации тестирования на Python с использованием pytest.
— Опыт работы с продуктами потоковой обработки данных (Kafka Connect, Flink).
— Опыт тестирования потоковых систем будет плюсом.
— Опыт работы с Docker и Kubernetes будет плюсом.
— Знания Grafana, PagerDuty, Terraform будут плюсом.
— Понимание моделирования данных, хранилищ данных, ETL и техник интеграции данных.
— Опыт влияния на разработчиков в вопросах лучших практик.
— Отличные аналитические и проблемно-решающие навыки.
— Ориентация на результат, инициативность и ответственность.
— Отличные устные и письменные навыки английского языка (уровень не ниже upper-intermediate).
— Русский язык на уровне upper-intermediate или выше — опционально.
Условия:
— Конкурентная зарплата и ежегодный бонус по результатам работы.
— Полная поддержка релокации для кандидата и семьи (перелёты, жильё, визы, юридическая помощь).
— Медицинская страховка топ-уровня с покрытием для всей семьи (медицинская, стоматология, зрение, психическое здоровье), а также страхование жизни.
— Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков.
— Оплата образования (школа, детский сад).
— 21 рабочий день отпуска, плюс официальные праздники, оплачиваемые больничные, декретные и отпуск по уходу за ребёнком.
— Программа признания сотрудников: брендированные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий.
— Командные поездки и корпоративные мероприятия.
— Программа акций компании.
— Корпоративный автомобиль MINI Cooper Countryman и личная парковка.
— Бесплатные спортивные клубы, доступ в спортзал Sanctum Club, водные мотоциклы.
— Доступ к корпоративному врачу.
— Эксклюзивные скидки в кафе, спортзалах и местных сервисах.
— Налоговые льготы для экспатов: до 50% освобождения от подоходного налога.
— Поддержка в процессе натурализации для релокантов.
Дополнительно:
— Работа в международной команде с английским как основным языком.
— Вакансия в офисе в Лимассоле, Кипр.
— Процесс найма: вводный звонок с рекрутером, проверка английского (если нужно), техническое интервью с живым кодированием, поведенческое интервью.
Задачи:
— Разработка и сопровождение серверной части кредитного конвейера для продуктов розничного кредитования.
— Реализация бизнес-логики обработки кредитных заявок, скоринговых сценариев и маршрутизации заявок между этапами рассмотрения.
— Разработка интеграций с внутренними и внешними информационными системами (банки, государственные сервисы, бюро кредитных историй, ЭЦП и другие партнерские сервисы).
— Реализация взаимодействия с базами данных, брокерами сообщений и микросервисной инфраструктурой.
— Разработка REST API и сервисов обмена данными, обеспечение надежности и производительности системы.
— Участие в проектировании архитектуры, реализации ключевых компонентов кредитного конвейера и оптимизации бизнес-процессов.
— Анализ и устранение дефектов, оптимизация производительности и сопровождение промышленной эксплуатации системы.
Требования:
— Опыт коммерческой разработки на Java не менее 3 лет.
— Опыт работы со Spring Boot.
— Опыт разработки REST API.
— Опыт работы с PostgreSQL.
— Опыт работы с Apache Kafka.
— Понимание принципов микросервисной архитектуры.
— Владение технологиями: REST API, JSON, HTTP/HTTPS, микросервисная архитектура, многопоточность, разработка высоконагруженных приложений, интеграционные сервисы.
— Языки программирования/запросов: Java 17/21.
— БД: PostgreSQL (обязательно), ClickHouse (желательно), понимание принципов проектирования БД и оптимизации запросов.
— Фреймворки: Spring Boot, Spring Data, Spring Security.
— Библиотеки: Maven/Gradle, Hibernate/JPA, Redis Client, OpenAPI/Swagger.
— Другое: Docker (желательно), Kubernetes (желательно), Git, GitLab CI/CD, Jenkins или аналогичные инструменты, JUnit, Mockito, Postman.
Условия:
— Г.Астана оффлайн, офис рядом с хан шатыр.
— Официальное трудоустройство согласно ТК РК.
— Своевременная выплата заработной платы.
— Ежегодная премия по результатам KPI.
— Отпуск 24 к.д.
— Обучение, тренинги, курсы за счет средств организации.
ОфисmiddleАстана
УдалённоseniorUnited States
УдалённоseniorSingapore; Australia
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УдалённоseniorWarsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
In-Office
УдалённоseniorCanada
УдалённоseniorGermany
УдалённоseniorSpain
УдалённоseniorIsrael
УдалённоseniorUnited States
ОфисLimassol; Помогают с релокацией на Кипр; In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free; What we offer along the way Competitive salary and annual performance bonus Full relocation support for you and your family — flights, housing, visas, and legal assistance included Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind Unlimited learning opportunities: external courses, English lessons, career and leadership development Education allowance covering school and kindergarten fees 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar Employee share scheme — grow with us Branded MINI Cooper Countryman company car and private parking Free in-house sports clubs, Sanctum Club gym access, and jet skis Access to a Corporate doctor Exclusive discount program with cafes, gyms, and local services Expat tax perks: up to 50% income tax exemption Support with the naturalisation process for relocated employees At Exness, we know that changing jobs - and changing countries - is a big step; That’s why relocation with Exness is different
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