Senior Backend Engineer - Agentic SDLC / AI-Driven Development Lifecycle (AI-DLC) Platform

Core Backend Engineering

• Design and build production-grade microservices using Java 17+ and Spring Boot 3.x adhering to clean
  
  

code and SOLID principles

• Own services end-to-end spec → design → implement → test → deploy → monitor → iterate — with no
  
  

hand-offs

• Author OpenAPI 3.x specifications and Architecture Decision Records (ADRs) before writing code;
  
  

champion spec-driven development

• Write comprehensive unit, integration, and contract tests using TDD discipline with ≥80% meaningful
  
  

coverage

• Design and manage event-driven architectures using Apache Kafka for asynchronous workflows, domain
  
  

events, and data streaming

• Architect and deploy services on AWS (ECS/EKS, Lambda, RDS, S3, SQS/SNS, CloudWatch, IAM)
  
  

Core Backend (Non-Negotiable)

Java 17+ — records, sealed classes, virtual threads / Project Loom

• Spring Boot 3.x — Spring Security, Spring Data JPA/JDBC, Spring WebFlux, Spring Cloud
• Microservices architecture patterns API Gateway, Circuit Breaker (Resilience4j), Saga, CQRS, Outbox
• RESTful API design with OpenAPI 3.x specifications as source of truth
• 10+ years of professional hands-on backend software engineering experience in production environments mandatory
• Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience — mandatory
• Experience in banking, fintech, or a similarly regulated, high-compliance domain — strongly preferred
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent
  
  

professional experience)

• AWS Certified Developer / Solutions Architect — a plus
• Proven track record of delivering complex distributed systems with high availability and measurable
  
  

performance outcomes

NICE TO HAVE

• Experience with open banking APIs, PSD2, or CBDC-related workloads
• Knowledge of AML, KYC, or fraud detection system design
• Contributions to open-source LLM tooling, MCP servers, or Agentic SDLC / AI-DLC frameworks
• Familiarity with CQRS + Event Sourcing patterns
• Experience with Flowable BPM/CMMN workflow automation in Spring Boot