About the job

Staff Software Engineer (f/m/d)Location: Berlin, Germany (Hybrid - up to 2 days remote per week)Type: Permanent, Full-timeSalary: Up to 120,000 euros

A fast-growing technology business combining the pace and innovation of a scale-up with the backing of major global organisations.

We're looking for a Staff Software Engineer to lead significant platform and product integration initiatives.

• What You'll Be DoingLead the design and implementation of major platform and product integration initiatives
• Drive technical direction and contribute to the engineering roadmap
• Write and sponsor design documents and lead meaningful technical reviews
• Set high standards for code quality, architecture and engineering practices
• Mentor and influence senior engineers across the wider organisation
• Design and operate distributed, event-driven systems
• Apply patterns including CQRS, event sourcing and API gateways where appropriate
• Use strong architectural judgement to keep solutions pragmatic and avoid unnecessary complexity
• Identify database, performance and migration risks before they reach production
• Deliver production-ready, observable and maintainable code
• Lead substantive code reviews and identify genuine technical and design risks
• Drive complex, multi-team technical projects from design through to delivery
• Champion AI-assisted engineering and help build this capability across the team

• What They're Looking For8+ years of professional software engineering experience
• Clear evidence of operating at Staff Engineer level with cross-team technical impact
• Strong experience leading significant platform-level technical work
• Strong JVM background, particularly Java and Kotlin
• Experience with Go or Node.js is beneficial
• Hands-on full-stack experience with modern frontend frameworks such as React or Angular
• Deep experience building and operating event-driven systems
• Strong production experience with Kafka
• Strong understanding of distributed systems, including idempotency, delivery guarantees, backpressure, partitioning and schema evolution
• Experience with CQRS and event sourcing, with the judgement to know when not to use them
• Experience with API gateway technologies and patterns
• Strong database knowledge across PostgreSQL and non-relational data stores
• Experience with data modelling, query performance and database migrations under load
• Proven ability to lead complex, multi-team technical initiatives
• Strong experience using AI coding tools as part of your daily engineering workflow
• Comfortable with Docker and Kubernetes
• Cloud experience, ideally Azure
• Excellent written and verbal communication skills