Senior Engineering Lead-Delivery Toolchain & RTL

Important :

Notice period : Immediate to 15-30 days ONLY.

Candidates serving Notice period will be preferred.

Please note - There should not be Career Gap more than 6 months(No Career Break)

Graduation score should be 60% & above

BGV (Background Verification)is mandatory [UAN/PF without any overlap issue is required.]

Skills, tools & evidence Use alongside the common requirements.

• Required cloud depth Advanced GCP architecture, containers, Kubernetes, infrastructure as code and Terraform; deep configuration management, reproducibility, drift diagnosis and recovery. Engineer secure, resilient, and maintainable platform capabilities.
• Delivery tooling Deep Harness CI/CD; GitHub Enterprise, GitHub Actions, IDP and Backstage. Assemble evolving enterprise templates; integrate artifacts, promotion, required certifications, gates and validated evidence.
• Tool integration Python automation/orchestration, OpenAPI/API contracts, MCP and local agents. Connect human-driven tools and external systems with controlled access, traceable context and failure handling.
• Agentic controls RAG and agent-assisted assessments where useful; validate retrieval scope, provenance and generated reports. Apply responsible AI and security controls; support downstream control teams and accountable approval decisions.
• Operational feedback Production-service support, observability and incident integration.
• Connect root-cause analysis, triage and treatment to Jira, verification and Confluence guidance; maintain a closed improvement loop.
• Hands-on leadership VS Code, GitHub Copilot, coding, infrastructure review and testing.
• Mentor engineers and contribute architecture decisions.
• Understand DDD, Java/Quarkus, Kafka and CQRS implications for deployment and recovery.
• Desirable strengths Financial services or another regulated industry; LBG RTL and control-team knowledge. Comparable enterprise delivery transfers; learn exact gate/certification requirements with the client