Summary
✨ AI‑Generated
A backend engineering position focused on designing, developing, and supporting large-scale payment and enterprise platforms using modern Java technologies, APIs, containers, and cloud infrastructure.
Highlights
Hybrid contract role focused on enterprise-scale backend systems, cloud-native development, and modern distributed architectures.
Description
Greetings
We are Hiring Backend Engineer position in London, UK
Hybrid
6 Months contract
2 days onsite, 3 days remote work
Backend Engineer -
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.
Mandatory Technical Skills
Java 8+ | Spring Boot | Hibernate/JPA | Kafka | REST APIs | Apigee | Docker | Kubernetes | GKE | Helm | Istio | GCP | Terraform | GitHub | Git | Maven | Jenkins | Nexus | SonarQube | SQL | NoSQL | Linux | JUnit | Mockito | TDD | Dynatrace | GitHub Copilot | Platform 3.0 QE Practices
