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 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 Key Responsibilities: Agentic SDLC / AI-DLC Platform Engineering Design, build, and evolve the core backend infrastructure of Client’s 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 Client’s 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)