Fullstack Software Engineer

We’re a global team of over 400+ people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. The Role We’re looking for a Fullstack Software Engineer to join our Kafka Ecosystem team. You’ll build features end-to-end: production Python in the platform that orchestrates managed Apache Kafka services across clouds, contributions to Karapace (our open-source Schema Registry and Kafka REST Proxy), and the React interfaces that put those features in front of users. Your main focus is Python; your reach extends from API design to the UI that ships with it. What You’ll Do Extend and maintain Karapace: schema compatibility logic, REST Proxy features such as exposing message headers in produce and consume paths, OpenAPI schema coverage, and Confluent API compatibility Keep the connector ecosystem healthy: upgrades and releases of connectors like Debezium, JDBC, S3, BigQuery, and the OpenSearch sink, security fixes, and changelogs Participate in design and code reviews, write well-tested code, and help shape technical direction Ship code reliably and often through CI/CD pipelines (Buildkite, GitHub Actions) Investigate and resolve production issues across the stack, from async Python application code down to Linux system behavior Contribute to technical planning within a small team where your input directly shapes the roadmap Own features end-to-end: design the API, build the async Python backend, and wire up the React/TypeScript views in our console Use AI coding tools as part of your daily workflow to speed up development What We're Looking For Must have: Strong Python skills: you're comfortable with async/await patterns, understand event loop semantics, and write production-grade code with type annotations and tests Full-stack ability: contribute confidently to a React/TypeScript codebase and take a feature from backend to shipped UI Distributed systems fundamentals: you reason clearly about consistency, replication, and failure modes Familiarity with schema formats and evolution: Avro, JSON Schema, or Protobuf; you understand why schema compatibility matters Linux fundamentals: comfortable with process management and debugging at the OS level Fluent in AI-assisted development: you actively use AI coding tools (Claude Code or similar) in your daily workflow, including automating repetitive processes and building AI-assisted workflows Fluent English, written and verbal Nice to have Hands-on Apache Kafka experience: consumer groups, offset management, and the group coordination protocol Kafka Connect and connector development: custom connectors, transforms, or converters Prior open-source contributions, on any project Experience with public clouds (AWS, GCP, Azure) and cloud-managed Kafka (MSK, Confluent Cloud, or Aiven for Apache Kafka) or other cloud-native distributed systems Working Java knowledge, enough to contribute to Kafka Connect source/sink tasks Experience operating or extending a schema registry (Confluent or Karapace) Experience with observability tooling: distributed tracing, Prometheus metrics, structured logging Why This Role Open-source at the core. A significant part of your work ships publicly as open source. Your name goes on the commits. Deep technical problems. Multi-format schema compatibility, connector lifecycle orchestration at scale, and UIs that make both approachable. Not a typical backend role, and not a typical frontend role either. End-to-end ownership. You design it, build it, ship it, and see users work with it. No handoffs across three teams. Direct impact. The team is large enough to tackle ambitious problems and small enough that your technical judgement still shapes what gets built. Helsinki, hybrid. 3 days in the office per week.

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