Location: Estonia; Finland; Greece; Latvia; Romania; Sweden
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
seniorEstonia; Finland; Greece; Latvia; Romania; Sweden
Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Moldova; Montenegro; Slovenia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
* Анализ бизнес-требований и постановка четких технических заданий инженерам данных на разработку и поддержку ETL-пайплайнов. * Валидация данных и приемка работы у инженеров данных, контроль качества.
Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.
Задачи:
— Вести технические цели команды от постановки до результата
— Отвечать за доступность, стабильность, безопасность платформы и стоимость инфраструктуры
— Планировать техническую работу в одном цикле с продуктовой, чтобы цели бизнеса не упирались в технические ограничения
— Управлять командой: 1:1, найм, развитие людей, распределение нагрузки — где-то через лидов, где-то напрямую
— Быть точкой входа по технике для продакта, проджекта и клиентов: можем ли, сколько стоит, что блокирует
— Вести крупные технические инициативы
Приоритетные задачи на первые 3 месяца:
— Собрать карту технической части по всем направлениям: что в работе, где хрупкие места и техдолг, что лежит без движения
— Сопоставить её с продуктовыми планами и договориться с продактом и проджектом, что критично, а что можно отложить
— Выделить 2–3 ключевые технические цели и запланировать их вместе с лидами, продактом и проджектом
— Подхватить текущие инициативы и довести 2–3 из них до понятного результата
— Выстроить регулярные 1:1 с лидами и инженерами
— Забрать на себя ведение мобильной разработки на партайме
Требования:
— Опыт управления инженерной командой от 5 человек не меньше 3 лет, включая найм и увольнение
— Опыт коммерческой разработки и понимание всего стека: фронт, бэк, базы, очереди, инфра. Код писать не нужно, а разбирать идеи инженеров по существу — нужно
— Опыт перевода команды к предсказуемой работе с измеримым результатом
— Опыт планирования через декомпозицию и сверки плана с фактом
— Опыт приоритизации техдолга через цену для продукта: что делать сейчас, а что подождёт
Будет плюсом опыт:
— Работы с Python, PostgreSQL, ClickHouse
— Миграции стека или платформы с большим объёмом данных
— Работы с облаками и эксплуатацией
— Работы со встраиваемыми продуктами (SDK, виджет)
— Внедрения AI-инструментов в работу команды
Личные качества:
— Ответственность за конечный результат: доводишь до точки, где ясно — сработало или нет и что дальше
— Инициативность: сам находишь, что надо менять, и делаешь, не дожидаясь, пока проблема станет пожаром
— Умение держать позицию: споришь с инженерами по существу и при этом не решаешь за них
— Командность: с продактом и проджектом вы вместе решаете, а не согласовываете
— Внимание к людям: замечаешь проблемы рано — по тому, как человек ведёт себя на 1:1 и в работе, а не когда он уже выгорел
Условия:
— Удалённый формат работы из любой точки мира
— Оформление по ТК РФ в аккредитованной IT-компании
— Оплата в рублях на российские счета
— Ежегодный грант на обучение — 30 000 ₽
— Встречи команды в коворкингах разных городов, летние съезды и походы
— Честность и открытость внутри компании, прозрачность целей и процессов
— Реальное влияние: крупные технические инициативы и выбор приоритетов вместе с продуктом, а не по спущенному сверху плану
— Гибкость в организации своего времени при уважении общих договорённостей и целей
О процессе подбора:
— HR-интервью — знакомимся друг с другом
— Интервью-разбор кейсов — обсуждаем, как ты работаешь с технической частью продукта, сроками и приоритетами
— Финальная встреча с командой
Нам важен отклик через форму — так мы добавляем всех кандидатов в нашу базу.
Обязанности: Проектирование и масштабирование распределённых микросервисов в Kubernetes. Управление потоками данных и очередями, интеграция и оптимизация Apache Kafka.
Location: Europe or US
Workplace: Remote
About the team
The Control Plane Platform team is building the shared foundation that every product in ClickHouse Cloud is built and shipped on. We give ClickHouse engineering teams one place to own and deploy their product, remove the overhead of rebuilding common plumbing, and keep the customer experience consistent as the number of integrating teams grows. The team owns API gateways and API standards, shared platform services, deployment and infrastructure patterns, testing and CI, local developer experience and Control Plane observability.
About the role
We’re looking for an Engineering Manager to lead our Platform team. This is a high-impact, high-trust role at the center of our Cloud product, combining people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect.
You’ll work hand-in-hand with Product, Infrastructure, Security, Support, and engineering teams across ClickHouse.
This role goes beyond engineering leadership. Together with your team, you’ll help shape how new products and teams will integrate and deploy their applications in ClickHouse Cloud.
What You’ll Do
- Lead, coach, and grow a high-performing team - recruit to a high bar, set crisp expectations, give direct feedback and career development, and manage performance — while fostering a healthy, inclusive environment built on empathy, psychological safety, trust, and a high technical bar.
- Own outcomes across the platform surface: API gateways and API standards, shared platform services (event bus, notifications, feature flags, websockets, audit records), deployment and infrastructure patterns, CI and testing, local developer experience, disaster recovery, and Control Plane observability.
- Treat the integrating teams as your customers and measure success by their delivery velocity and adoption of the platform, not only by what your team ships.
- Guide architecture and help senior engineers make explicit, sound tradeoffs. land cross-cutting migrations, deprecations, and contract changes across teams without stalling product delivery.
- Jump into designs and code for complex areas - gateway routing and auth/RBAC enforcement, spec-driven code generation, event delivery semantics and idempotency, multi-region rollout safety.
- Build the culture of operational excellence: Own SLOs, reliability, on-call quality, and cost-efficiency for k8s-hosted, multi-tenant services across cloud regions.
- Systematize support, reduce toil, and build self-serve/auto-healing capabilities - golden-path templates and generators, auto-healing, and documentation that gets a new team integrated in days rather than weeks.
- Shape the platform vision, turn it into a roadmap, sequence bets for business impact, and ship fast with tight feedback loops — including writing the RFCs that build cross-org consensus before big changes land
What you bring
- 8+ years in software engineering and 3+ years managing software engineers with a track record of hiring, developing, and retaining strong talent.
- Experience leading a platform or infrastructure team whose customers are other engineering teams — you've driven adoption and cross-org migrations through influence and good tooling rather than mandate.
- Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones.
- Experience building scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas) with infrastructure as code (Terraform, Helm) and progressive delivery (Argo Rollouts or similar).
- Experience with containerization and orchestration (Docker, Kubernetes), including patterns for hosting many independently deployed applications in a shared cluster.
- Familiarity with API platform work: OpenAPI-driven contracts, API gateways, and the shared concerns they centralize — authentication, RBAC, rate limiting, versioning, and deprecation.
- A track record of decomposing a monolith into independently deployable services without stalling product delivery.
- Technical credibility to engage deeply in architecture and incidents without owning daily implementation.
- Hands-on: you still enjoy diving into code/designs for complex or critical areas, reviewing code, and guiding via feedback.
- Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health.
Nice to have
- Experience with large TypeScript/Node monorepos and the developer-experience problems that come with them: CI scale and flakiness, build and test times, local development environments, and code generation from specs.
- Designed and implemented strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments.
- Experience building CI/CD at scale
- Experience with internal developer platforms: service catalogs, golden-path templates, and self-service app scaffolding.
- Proficiency with frontend frameworks (React).
- Experience making APIs consumable by AI agents — MCP servers, CLIs, or skills generated from API specs.
- Experience with ClickHouse
- Previous experience in developing analytics or data-intensive applications.
Why This Role
- Shape how all feature teams in ClickHouse Cloud develop and integrate with each other
- Operate with ownership, autonomy, and speed while keeping the company lean.
- Lead a technical team where correctness, performance, reliability, and developer experience all matter.
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.
• Поддерживать Linux, Kubernetes и сервисы в нескольких площадках и окружениях. • Обеспечивать доступность тракта ASIC → Miner Agent / gateway / Stratum → upstream.
Продукт: высоконагруженная рекламная сеть TrafficStars с 10+ лет на международном рынке, регистрирующая свыше 7 млрд событий в сутки в кластере ClickHouse 3,6 петабайт, более 500 серверов в дата-центрах Европы и США, обрабатывающая более 1 млн запросов в секунду в пиковые часы.
Роль: работа в продуктовой команде разработки, ответственность за доставку от коммита до продакшена и наблюдаемости сервисов команды. Взаимодействие с инфраструктурной командой, которая отвечает за кластеры баз данных и хранилищ.
Задачи:
— Тесное взаимодействие и поддержка продуктовой команды разработки, участие в планировании, работа напрямую с разработчиками;
— Создание и поддержка helm-charts, kustomize и GitLab CI/CD pipelines;
— Создание и эксплуатация различных окружений от тестирования до продакшена;
— Настройка мониторинга, алертинга и логирования для сервисов команды;
— Обеспечение стабильной работы сервисов в сотрудничестве с инфраструктурной командой;
— Обнаружение потенциальных проблем и участие в создании решений по их устранению;
— Поиск, тестирование и внедрение новых решений для оптимизации процессов и повышения качества услуг.
Требования:
— Уверенное понимание принципов работы Kubernetes;
— Уверенный Linux;
— Опыт работы с Git, GitLab, GitLab CI;
— Опыт работы с Prometheus stack;
— Опыт работы с ELK/EFK;
— Опыт работы с брокерами сообщений (Kafka);
— Знание любого скриптового языка программирования;
— Опыт работы бок о бок с разработчиками, а не через очередь тикетов;
— Готовность быстро погружаться в незнакомые сервисы и технологии.
Будет плюсом:
— Опыт работы с ClickHouse, PostgreSQL, Redis, Aerospike на уровне уверенного пользователя;
— Опыт работы в продуктовой или платформенной команде на highload-проекте.
Условия:
— Отсутствие дресс-кода и бюрократии;
— Рабочий ноутбук на выбор: Mac или PC;
— Покупка билетов до Кипра за счёт компании;
— Помощь с переездом семьи из любого региона;
— Рабочая виза для сотрудника и гостевая виза для членов семьи;
— Предоставление жилья на первый месяц;
— Медицинская страховка и мобильная связь;
— Бесплатные обеды и напитки;
— Всегда полные корзины фруктов и вкусняшек в офисе;
— Бесплатные курсы английского и греческого языков;
— Оплата занятий спортом;
— Частичная оплата школ и детских садов.
ОфисseniorЛимассол; Вакансия подразумевает релокацию вместе со всей семьей на Кипр, в г
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте
— Обеспечение бесперебойной работы инфраструктуры и сервисов
— Сопровождение bare-metal кластеров Kubernetes
— Сопровождение кластеров ClickHouse, Kafka, PostgreSQL, Aerospike
— Автоматизация процессов
— Обнаружение потенциальных проблем и участие в создании решения по их устранению
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг
Требования:
— Опыт администрирования Linux серверов
— Опыт администрирования Kubernetes
— Опыт администрирования ClickHouse, PostgreSQL, Redis
— Опыт работы с брокерами сообщений (Kafka)
— Понимание принципов Infrastructure as Code (IaC)
— Опыт работы с Prometheus stack
— Опыт работы с ELK/EFK
— Опыт работы с Aerospike (будет плюсом)
— Опыт использования GitLab CI (будет плюсом)
— Опыт автоматизации с помощью Ansible (будет плюсом)
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.) (будет плюсом)
Условия:
— Полная занятость (full-time)
— Отсутствие дресс-кода и бюрократии
— Рабочий ноутбук на выбор: Mac или PC
— Покупка билетов до Кипра за счёт компании
— Помощь с переездом семьи из любого региона
— Рабочая виза для сотрудника и гостевая виза для членов семьи
— Предоставление жилья на первый месяц
— Медицинская страховка и мобильная связь
— Бесплатные обеды и напитки
— Всегда полные корзины фруктов и всяких вкусняшек в офисе
— Бесплатные курсы английского и греческого языков
— Оплата занятий спортом
— Частичная оплата школ и детских садов
ОфисseniorЛимассол; Вакансия предполагает релокацию на Кипр
УдалённоEurope or US; Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones
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