Staff Fullstack DevX Engineer (Prague/Brno/Remote EU)
Summary
The Staff Fullstack DevX Engineer will build and maintain internal developer tools and AI-native infrastructure to improve engineering velocity and agent-based workflows. The role focuses on Kotlin and Go services, CI/CD optimization, and defining architectural standards for AI-ready codebases.
What you will build
- Agent-native architecture standards. Clear API contracts, semantic naming, well-defined module boundaries. The patterns that keep AI effective as our systems grow.
- A context infrastructure layer. Repo-versioned guidance that AI tools load automatically — improving the output of Cursor, Claude Code, and Codex simultaneously.
- Self-healing workflows for incidents. Agents that triage alerts, pull logs, surface relevant history, suggest remediation. Humans intervene where judgment matters.
- Agent workflows that go beyond chat. Multi-step reasoning, tool use, autonomous task execution with human-gated checkpoints — for product features, not internal demos.
- Systematic optimization of AI code review. Earlier detection of correctness, security, and maintainability issues, with the noise filtered out before it reaches a human reviewer.
The opportunity
Why this matters for your career
What you will do
- Build and evolve Kotlin services and frameworks that streamline the inner loop (APIs, build/test tooling, automation, paved paths).
- Maintain and improve our internal developer tool written in Golang.
- Accelerate CI/CD: improve caching/parallelism, increase test reliability, and shorten feedback cycles.
- Partner across teams to standardise workflows, enable self-serve integrations, and reduce cross-team friction.
- Instrument and improve: define DX metrics (lead time, build time, flakiness), run experiments, and iterate based on data.
- Improve reliability and safety with sensible defaults—observability, guardrails, and secure-by-default patterns.
- Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo.
- Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints.
- Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
- Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
- Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone.
About you
- 6-10+ years of professional engineering experience.
- Experience with Kotlin/Java in production (JVM performance, testing, dependency management).
- Solid grasp of cloud-native engineering (containers, Kubernetes; AWS/IaC a plus).
- Pragmatic approach to developer platforms, internal tooling, and CI/CD at scale.
- Nice to have: exposure to Go and interest in multi-language ecosystems.
- Previous experience with working on developer or internal tooling.
- Contributing to open source.
- Strong communication skills and collaborative mindset.
- Curiosity, adaptability, and a proactive, startup-friendly attitude.
- Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically.
- Embrace AI as a daily tool in your own workflow. You use AI coding assistants, iterate on prompts, and constantly look for ways to move faster.
- Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale.
Our tech stack
- Python for ML code
- Celery and Kubernetes for pipeline orchestration
- AWS, Docker, Helm, Kafka, Git, and CI/CD for real time services
- LangGraph for agent orchestration, Braintrust for observability and evaluation
- GraphQL, Postgres, Datadog, Sentry, and Looker
- Business tools: Slack, Jira, Google suite, Zoom, Notion
- Full Tech Stack
Our Compensation
- Where most of our L4s sit:
- Q1 (2.3M–2.55M) · 33%
- Q2 (2.55M–2.8M) · 27%
- Q3 (2.8M–3.05M) · 33%
- Q4 (3.05M–3.3M) · 7%
Our benefits include
- Stock options
- MacBook + 34″ monitor
- Work from home stipend to support your home office setup
- 5 weeks of vacation + 9 sick days
- Flexible working hours and home office
- Budget for online courses, books, and conferences
- 2 weeks of fully paid parental leave
- Fertility & Family-Building Support with Carrot
- Mental Wellness Program with Soulmio to support your well-being and self-care
- 1 Volunteer Day per year to support causes close to your heart, plus donation matching from Productboard
- Free snacks, drinks, and yummy catered lunches from White Circus at the office every day
- Free MultiSport card
- On-site bouldering wall, boxing bag, and workout mats
- Team events, such as happy hours, off-sites, and retreats
- Free year-round access to Prague Zoo
