Senior Java Backend Developer

Role: Senior Java Backend Engineer

Location: London, UK (Hybrid)

Hiring Type- Contract Role

Strong Banking and Payments domain knowledge with proven experience delivering solutions within complex, enterprise-scale payment platforms.

- Extensive hands-on experience with Java 8+, Spring Boot, Hibernate/JPA, and microservices-based architectures.

- Proven experience designing, developing, securing, and supporting RESTful APIs and working with API Gateway technologies such as Apigee.

- Strong experience building event-driven architectures using Kafka and asynchronous messaging patterns.

- Proven experience developing, deploying, and supporting containerised applications using Docker, Kubernetes, Google Kubernetes Engine (GKE), Helm, and Istio Service Mesh.

- Mandatory experience delivering cloud-native solutions on Google Cloud Platform (GCP), including application development, deployment, networking, security, observability, and operational support.

- Strong experience implementing Infrastructure as Code (IaC) using Terraform.

- Strong understanding of secure, resilient, scalable, and highly available application design principles.

- Proven experience with modern software engineering practices including CI/CD, DevSecOps, automated deployment pipelines, and engineering excellence frameworks.

- Hands-on experience with Git, GitHub, Maven, Jenkins, Nexus, SonarQube, and modern CI/CD tooling.

- Strong experience with SQL and NoSQL databases, data modelling, and database optimisation, together with strong Unix/Linux skills.

- Proven ability to perform Quality Engineering activities within a Platform 3.0 engineering model, including test automation, unit and component testing, quality assurance, production validation, test data management, shift-left testing, TDD, continuous testing, and automated quality gates.

- Ability to take ownership of code quality, testing, observability, operational readiness, and production support, working closely with Quality Engineers and SRE teams.

- Experience using GitHub Copilot and other AI-assisted development tools, with practical prompt engineering skills to improve developer productivity and code quality.

- Experience with observability, monitoring, and performance analysis platforms such as Dynatrace.

- Proven ability to troubleshoot complex production issues, perform root cause analysis, and support highly available distributed systems.

- Experience delivering solutions within large-scale enterprise environments with strong governance, security, resilience, and operational requirements.

Strong collaboration and communication skills, with experience working effectively across Architecture, DevOps, SRE, Quality Engineering, Product, and Business teams.