Software Engineering Professional ( Cloud Native Java Developer ) @ BT Group

Key Responsibilities

• Develop and deploy serverless applications using Quarkus/Spring Boot and AWS Lambda
• Build RESTful APIs and event-driven microservices using cloud-native patterns
• Optimize cold-start performance using GraalVM native images
• Integrate with AWS services such as AWS API Gateway, S3, DynamoDB, CloudWatch and Postgres
• Implement and manage Lambda authorizers (custom and token-based) for securing APIs
• Design and configure AWS API Gateway for routing, throttling, and securing endpoints
• Integrate OAuth 2.0 authentication flows using Azure Active Directory as the identity provider
• Descent Understanding of resilience patterns
• Write unit and integration tests using JUnit, Mockito, and Quarkus testing tools
• Collaborate with DevOps teams to automate deployments using AWS SAM, CDK, or Terraform
• Monitor and troubleshoot production issues using AWS observability tools

Migration Responsibilities

• Analyse existing Spring Boot microservices deployed on Kubernetes to identify candidates for serverless migration
• Refactor services to be stateless, event-driven, and optimized for short-lived execution
• Replace Kubernetes ingress and service discovery with API Gateway and Lambda triggers
• Migrate persistent state and configuration to AWS-native services (e.g., DynamoDB, S3, Secrets Manager)
• Redesign CI/CD pipelines to support serverless deployment workflows
• Ensure performance, cost-efficiency, and scalability in the new architecture
• Document migration strategies, patterns, and best practices for future reference

Technical Proficiency

Strong industry expereince of 4+ years with command of Java 8+, with deep understanding of:

• Functional interfaces (Function, Predicate, Supplier, Consumer)
• Streams API, lambda expressions, and Optional
• Proficiency in Java concurrency, including:
• Thread management, Executor Service, Completable Future, and parallel streams
• Designing thread-safe components and understanding concurrency pitfalls
• Understanding of AWS EKS (Elastic Kubernetes Service) , Docker Containers and Kubernetes fundamentals:
• Experience with resource requests and limits, pod autoscaling, and K8s networking
• Familiarity with transitioning workloads from EKS to serverless environments.