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Senior Full-Stack Kotlin Engineer (Kineto)
Исключительная вакансия от топового работодателя (JetBrains) с работой над передовым AI-продуктом и современным стеком технологий.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний Kotlin Coroutines, инфраструктуры (K8s, Knative) и фронтенд-стека (React), а также работы с AI-генерацией кода.
Анализ зарплаты
Зарплата в объявлении не указана, но для Senior Full-Stack ролей в Германии и Нидерландах в компаниях уровня JetBrains вилка обычно выше среднерыночной. Данная позиция предполагает компенсацию за высокую экспертизу в облачных технологиях и AI.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Full-Stack Kotlin Engineer position for the Kineto project at JetBrains. With over 6 years of experience in developing robust backend systems using Kotlin and Spring Boot, combined with a solid foundation in React and TypeScript, I am excited about the opportunity to contribute to a platform that redefines how AI-powered applications are built and deployed.
In my previous roles, I have gained extensive experience with distributed systems, GKE, and multi-tenant database architectures, which aligns perfectly with Kineto's tech stack. I am particularly drawn to your work with LLM-driven code generation and the challenge of optimizing cold starts and autoscaling in a Knative environment. My background in building scalable microservices and my passion for developer tooling make me a strong fit for driving the architectural roadmap of this innovative platform.
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Описание вакансии
Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale.
It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone.Our team is growing rapidly, and we’re seeking an experienced Kotlin engineer who can work across our stack, help shape the architecture, and lead major platform initiatives.
What you’ll do
Platform and backend engineering
- Design, implement, and evolve Kotlin and Spring Boot microservices that power generation, hosting, deployments, billing, and analytics.
- Build resilient distributed systems running on GKE, Knative, Flux, Helm, Terraform, and Terragrunt.
- Architect and optimize multi-tenant data models on Neon and Postgres, including aspects like tenant isolation, branching strategies, and safe schema migrations.
- Implement high-performance features using coroutines, structured concurrency, gRPC and HTTPAPIs, SSE and WebSockets, and message queues.
Full-stack development
- Build user-facing features for the Kineto app builder, including dashboards, analytics, editors, session views, run logs, and the billing UI.
- Work across React and TypeScript frontends, integrating with backend APIs, remote configuration, analytics, and credit and billing systems.
- Contribute to the component library, UX flows, and developer tooling that enable the creation and management of thousands of apps.
Operational excellence
- Drive performance tuning across the platform (GC configs, container resources, distributed locks, and caching strategies).
- Solve real operational challenges such as scale to zero, cold starts, autoscaling, build farm performance, and queue backpressure.
AI-powered app generation
- Build and improve the LLM-based generation pipeline that produces thousands of Node.js, Kotlin, and Spring Boot applications.
- Design entropy-safe, cache-friendly templates and generation flows that minimize build times, reduce costs, and improve reliability.
- Collaborate on prompt design, safety layers, and deterministic generation for reproducible deployments.
Technical leadership
- Own major architectural roadmap items, including multi-region deployments, advanced billing, secure tenancy, and preview environments.
- Mentor other engineers, review complex changes, and raise the engineering quality in the team.
- Collaborate with product, design, and infrastructure teams to define the long-term vision for the platform.
We’d be glad to have you on our team if you:
- Have 5 or more years of experience building commercial software in Kotlin, Java, Swift, or similar languages. Bonus points for experience with cross-platform frameworks and iOS and Android app development.
- Have a solid grasp of algorithms, data structures, concurrency, and design principles for large-scale, maintainable codebases.
- Have proven expertise or a strong interest in AI-assisted development, prompt engineering, or ML-based code generation workflows.
- Thrive in cross-functional teams across time zones and technical domains, and excel at communicating complex ideas clearly.
- Are always looking for ways to push the boundaries of what software development can be.
- (Bonus) Are familiar with Compose Multiplatform, building KMP libraries or frameworks, or have experience in IDE/plugin development.
#LI-MP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Навыки
- Kotlin
- Spring Boot
- React
- TypeScript
- PostgreSQL
- Kubernetes
- Google Kubernetes Engine
- Knative
- Terraform
- gRPC
- WebSockets
- Helm
- Flux
- Docker
Возможные вопросы на собеседовании
Проект Kineto активно использует корутины для высокопроизводительных фич.
Расскажите о вашем опыте работы со Structured Concurrency в Kotlin и как вы решали проблемы утечек ресурсов в асинхронном коде?
Платформа строится на базе Knative и GKE.
Какие стратегии вы бы предложили для минимизации времени 'холодного старта' (cold start) при использовании Knative для тысяч микросервисов?
Kineto использует Neon для мультитенентности.
Как обеспечить надежную изоляцию данных между арендаторами (tenants) на уровне базы данных и приложения при динамическом масштабировании?
Вакансия подразумевает работу с LLM для генерации кода.
Как обеспечить детерминированность и безопасность генерируемого AI кода (Node.js/Kotlin) перед его автоматическим деплоем?
Роль Senior предполагает лидерство.
Опишите случай, когда вам приходилось принимать сложное архитектурное решение, которое затрагивало и фронтенд, и бэкенд. Как вы аргументировали свой выбор?
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