Senior Java Engineer

We are looking for a Senior Java Backend Engineer to join a cross-functional team building cloud-native identity and fraud prevention products on AWS. In this role, you will design and implement scalable, high-performance backend services and APIs in Java, working within a microservices and serverless architecture. You will collaborate closely with product managers, front-end engineers, researchers, and DevOps to deliver production-grade features that power real-time identity verification and fraud detection at scale., * Design, develop, deploy, and maintain production-ready backend APIs and microservices in Java, targeting AWS as the primary deployment platform.

• Build scalable, resilient services using serverless and containerised architectures (ECS, Lambda, API Gateway).
• Write clean, efficient, and testable code with strong emphasis on quality engineering and continuous delivery.
• Design and execute robust automated test suites including unit, integration, and performance tests.
• Collaborate with product managers, front-end engineers, QA, and cloud/operations teams to translate requirements into well-designed features.
• Contribute to CI/CD pipeline development and drive adoption of DevOps best practices for rapid and reliable deployments.
• Create and maintain internal software documentation and public API documentation.
• Participate in Agile ceremonies including stand-ups, sprint planning, refinements, and retrospectives.
• Mentor and support junior team members, sharing knowledge and elevating overall team capability.

Do you have experience in Web services design?, * 5+ years of professional backend software development experience with Java as the primary language.

• Strong experience designing and building RESTful APIs and backend services in Java using modern frameworks (Spring Boot, Micronaut, or similar).
• Proven experience developing and deploying solutions on Amazon Web Services (AWS).
• Hands-on experience with microservices and/or serverless architectures.
• Solid background in CI/CD pipelines, automated testing, and continuous delivery practices.
• Experience building and deploying Dockerised applications.
• Experience writing automated unit, integration, and performance tests for reliability at scale.
• Good understanding of relational and/or NoSQL databases (e.g. MongoDB, DynamoDB, DocumentDB, RDS).
• Strong communication skills and ability to collaborate effectively in a distributed, cross-functional environment.
• Solid understanding of Agile methodologies and practices.
• Proficiency with Git.
• Proficiency in spoken and written English.

Nice to have

• Experience with Golang as an additional backend language.
• Familiarity with AWS services such as ECS, EKS, S3, Lambda, SQS, API Gateway, and KMS.
• Infrastructure-as-code experience with Terraform, CloudFormation, or AWS CDK.
• Experience with gRPC, Protocol Buffers, or image processing technologies.
• Exposure to machine learning concepts, architectures, or inference pipelines.
• Front-end exposure to React/Redux or other modern JavaScript frameworks.
• Programming experience in Python, Groovy, or Bash scripting.
• Previous work on SaaS products at scale in domains like digital identity, banking, or fintech.
• Experience delivering features from user stories through to deployment in Agile environments.

Pulled from the full job description

• Tuition reimbursement, * Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

• not applicable for freelancers

Our client builds a leading digital identity and fraud prevention platform used by banks, fintech companies, online marketplaces, and other regulated businesses worldwide. Their products combine biometric identity verification, document and image processing, and advanced fraud detection to help customers balance frictionless digital experiences with strong security and regulatory compliance. The company relies on AI, machine learning, and computer vision to power identity verification, mobile deposit, and liveness detection solutions used by thousands of organisations globally.