Java Software Engineer

Role: Java Backend Engineer (Low-Latency / Distributed Systems)

Location: Bournemouth, UK – Onsite

Type: Contract- Preferred / FTE

Role Overview

We are looking for skilled Java Backend Engineers with an engineering mindset and strong experience in building high-performance, low-latency distributed systems.

You will work on real-time platforms, microservice communication, performance optimization, and scalable infrastructure handling high-throughput workloads.

Key Responsibilities

• Design and develop scalable backend services using Java
• Build and optimize low-latency, high-throughput distributed systems
• Develop microservice-to-microservice communication layers
• Implement asynchronous and event-driven architectures
• Perform performance tuning, profiling, and bottleneck analysis
• Implement end-to-end automated testing and performance testing
• Generate performance benchmarks and monitoring dashboards
• Work with containerized environments and cloud-native infrastructure
• Collaborate with platform and DevOps teams on deployment and scalability
• Ensure reliability, observability, and system resilience in production environments

Mandatory Skills

• Strong Java backend development experience
• Knowledge of distributed systems and microservices architecture
• Experience with messaging/communication frameworks (Kafka / gRPC)
• Experience with Kubernetes and containerized deployments
• Performance tuning, concurrency, and multithreading
• Observability tools (Prometheus, Grafana)
• Performance testing tools (Gatling, BlazeMeter, JMeter or similar)
• Infrastructure as Code concepts (Terraform or similar)
• Experience with NoSQL or distributed databases
• Strong problem-solving and debugging skills

Good to Have / Preferred Skills

• Experience working with GAIA platform
• S3 or object storage integrations
• CockroachDB or distributed database platforms
• Envoy proxy / service mesh concepts
• WebAssembly / Rust exposure
• Google Container Registry (GCR), Podman or RedHat environments
• Mono-repo testing strategies and service mocking