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Platform Engineer – Backend & Reliability

TTrade Republic
Seniority
Midweight
Model
Hybrid
Sector
Fintech
Salary
Undisclosed
Contract
Full-Time

About the role

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our Backend Reliability team builds and owns Trade Republic's most critical backend systems — the services that process every trade, every payment, every savings plan. This is a software engineering role first: we believe the best reliability work happens at the code level, not the runbook level.

What you'll do

  • Design and implement new backend services and platform components in Kotlin — high-throughput, low-latency, fault-tolerant by design.
  • Own reliability as a first-class engineering concern: define and drive SLOs, model failure modes during design, implement circuit breakers, bulkheads, graceful degradation, and retry strategies directly in the application layer.
  • Design and run load tests, stress tests, and chaos experiments against critical backend services. Translate findings into concrete architectural improvements and engineering standards.
  • Define best practices for service design, error handling, resiliency patterns, and safe deployment — and work directly with engineering teams to raise the bar across the platform.
  • Model traffic growth, identify performance bottlenecks across the application and data layer, and own the engineering work that keeps systems performant ahead of demand.
  • Own post-mortems for critical service failures and ensure findings close real gaps — in architecture, test coverage, observability, or deployment practices.
  • Define and implement structured logging, distributed tracing, and alerting standards for critical backend services.

What you'll need

  • 5+ years of hands-on backend software engineering experience, with deep ownership of production systems at scale.
  • Strong programming skills in Go, with experience building infrastructure automation as software rather than scripts.
  • Proven experience building resilient, high-throughput distributed systems — strong intuitions around backpressure, failure isolation, consistency trade-offs.
  • Experience with load testing, performance profiling, and capacity planning at scale.
  • Familiarity with event-driven architectures and distributed data systems in production.
  • Track record of raising engineering standards through documentation, design reviews, or internal tools.
  • Production experience with container orchestration and modern infrastructure.
  • Strong incident command and post-mortem skills.

What they offer

  • Based in London, Berlin, or Paris with relocation support provided.
  • Flexible hybrid setup with 2–3 days a week in the office.
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