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

Experience & Qualifications:

• 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

• Bachelors or Masters 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

Key Responsibilities:

Agentic SDLC / AI-DLC Platform Engineering

• Design build and evolve the core backend infrastructure of Clients Agentic SDLC / AI-DLC platform

• Develop and operate AI agent pipelines for spec ingestion code generation automated review and test synthesis

• Build MCP server integrations and tool-use layers that enable AI agents to interact with internal banking systems APIs and data sources securely

• Architect and maintain RAG pipelines that ground AI agents in Clients codebase API contracts compliance rules and architecture decisions

• Establish quality gates and evaluation frameworks that validate AI-generated code against engineering standards before it enters the delivery pipeline

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)