Live opening · Posted 7 days ago
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About the role
Description supplied by the original job listing.
Your responsibilities:
Engineering
Design and implement high-performance microservices in Java / Spring Boot
Build and maintain event-driven integrations using Apache Kafka
Own the data layer: schema design, query optimisation, migrations (PostgreSQL)
Work within a containerised cloud-native environment: Docker, Kubernetes, GCP
Hold the bar on code quality through reviews, testing standards, and CI/CD discipline
Mentor team members and advocate for a culture of quality and continuous improvement
Ownership & Delivery
Take full ownership of features end-to-end - from requirements to production and beyond
Work directly with business stakeholders to challenge assumptions and align on solutions
You understand your product deeply - the business context, the customer impact, the why behind every feature
Working across a large organisation with many teams is complex. You navigate that complexity, build bridges, and push things over the finish line
Write clear technical documentation: System Design docs, RFCs, and ADRs
Identify and address technical debt proactively - before problems become incidents
Participate actively in architecture discussions with well-reasoned proposals
5+ years of commercial Java development (Java 11/17+, Spring Boot, Spring Security, JPA/Hibernate)
Strong experience with distributed systems - microservices, event-driven patterns, inter-service communication
Deep JVM internals: memory model, GC tuning, concurrency, performance profiling
Apache Kafka - producers, consumers, consumer groups, offset management, error handling
PostgreSQL - relational modelling, indexing strategy, query plans, schema migrations
Docker + Kubernetes - day-to-day production usage
Maven/Gradle, Git, JIRA, Confluence, Code Reviews, CI/CD
Proven ability to work with non-technical stakeholders and write design documents others want to read
English B2+ - team and stakeholder communication
Proficiency in leveraging AI tools and large language models (e.g., GitHub Copilot, ChatGPT, Claude) to enhance productivity, accelerate development, and solve complex problems.
Ability to critically evaluate AI-generated outputs and apply them responsibly within professional workflows.
Nice-to-have
Kotlin development experience
Domain-Driven Design (DDD), CQRS, Event Sourcing
gRPC, GraphQL
GCP: Cloud Functions, Pub/Sub, GKE, Cloud Spanner
MongoDB
Experience with high-throughput, low-latency systems
Background in e-commerce, logistics, or fintech
Employment type
Full-time
Work arrangement
Yes
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