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Apps Dev Tech Sr Lead Analyst Java SVP

https://www.citi.com/ Logo

Citi

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Location:
India , Chennai, Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Apps Dev Tech Sr Lead Analyst Java SVP at Citi. Own and drive end-to-end migration of legacy Mainframe workloads to modern Java-based microservices, reduce technology operating costs, lead engineering teams, and champion generative AI and agentic development in a regulated financial services environment.

Job Responsibility:

  • Own and drive end-to-end migration of legacy Mainframe workloads (COBOL, JCL, CICS, IMS, DB2/z) to modern Java-based microservices deployed on enterprise container platforms (OpenShift / Kubernetes)
  • Conduct application assessments to identify migration candidates, define target-state architectures, and produce sequenced migration roadmaps with risk registers and rollback plans
  • Establish reusable migration patterns, tooling, and runbooks to accelerate successive migration waves
  • Leverage AI-assisted code translation tools (e.g., autonomous AI coding agents such as Devin) to automate COBOL-to-Java conversion at scale, with human-in-the-loop review gates
  • Validate functional parity post-migration through automated testing strategies (unit, integration, regression, performance)
  • Identify and quantify cost-reduction opportunities across MIPS consumption, software licensing, infrastructure footprint, and operational overhead
  • Build and maintain a technology cost model
  • track savings realisation against committed targets on a monthly cadence
  • Drive rationalisation of redundant systems, decommission end-of-life platforms, and consolidate tooling to reduce Total Cost of Ownership (TCO)
  • Partner with Finance and Vendor Management to renegotiate contracts and optimise spend through right-sizing, reserved capacity, and FinOps practices
  • Introduce engineering efficiency metrics (deployment frequency, lead time, MTTR) to demonstrate productivity gains that translate to measurable cost avoidance
  • Actively contribute to code reviews, architecture design sessions, and technical spike investigations as a practitioner — not just an observer
  • Define and enforce engineering standards: coding conventions, API design (REST / gRPC), CI/CD pipeline standards, and security-by-design principles
  • Lead adoption of modern Java ecosystem tooling: Spring Boot, Spring Cloud, Maven/Gradle, JUnit 5, Mockito, and Testcontainers
  • Oversee containerisation and orchestration using Docker, Helm, and OpenShift / Kubernetes
  • govern CI/CD pipelines built on Tekton and Harness
  • Ensure observability best practices: structured logging (Splunk), distributed tracing (OpenTelemetry ), and metrics dashboards (Prometheus / Grafana)
  • Govern secrets management via HashiCorp Vault and enterprise M2M authentication standards (OAuth 2.0 / OIDC)
  • Champion the adoption of enterprise AI tooling across engineering teams
  • Drive agentic development using Google ADK (Agent Development Kit) and MCP (Model Context Protocol) to build multi-agent workflows that automate test generation, documentation, incident triage, and code migration tasks
  • Evaluate and pilot AI coding assistants (Devin and equivalents) for autonomous code generation and refactoring
  • establish guardrails and human-in-the-loop review processes
  • Ensure all AI tooling usage complies with data classification policies, enterprise authentication standards, and AI governance frameworks applicable in a regulated financial services environment
  • Lead, mentor, and grow a team of 4-10 engineers across multiple squads, fostering a high-performance engineering culture
  • Represent the India technology team in global forums, steering committees, and executive briefings
  • communicate programme status, risks, and decisions with clarity
  • Build strong partnerships with global counterparts across the US, UK, and APAC to align on architecture decisions and delivery priorities
  • Drive Agile / SAFe delivery practices: sprint planning, backlog grooming, retrospectives, and PI planning

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
  • 12–16 years of progressive software engineering experience, with at least 5 years in a senior technical leadership role (Tech Lead, Staff Engineer, principle)
  • Demonstrated experience leading or significantly contributing to at least one large-scale Mainframe modernisation or legacy platform migration programme
  • Prior experience in financial services, banking, or a similarly regulated industry strongly preferred
  • Java 17/21 (Expert), Python, COBOL / JCL (reading & assessment level)
  • Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, Project Reactor / WebFlux
  • OpenShift, Kubernetes, Docker, Helm
  • Tekton, Harness, Jenkins, Git (Bitbucket / GitHub), Artifactory, SonarQube
  • Oracle, MongoDB, PostgreSQL, MS SQL Server, Redis, DB2/z
  • Apache Kafka, IBM MQ
  • REST, gRPC, OpenAPI / Swagger, Service Mesh (Istio)
  • Prometheus, Grafana, Splunk, OpenTelemetry, Jaeger
  • HashiCorp Vault, OAuth 2.0 / OIDC, SAST / DAST tooling
  • LLM API Gateways (Azure OpenAI / Vertex AI), MCP, Google ADK, AI coding assistants (Devin / Copilot), AI agent platforms
  • Practical familiarity with Large Language Models (LLMs) and their application in software engineering workflows
  • Working knowledge of MCP (Model Context Protocol) for building agentic integrations between LLMs and enterprise systems
  • Exposure to Google ADK (Agent Development Kit) or equivalent frameworks (LangChain, LangGraph, AutoGen) for multi-agent system development
  • Awareness of AI coding assistants (Devin, GitHub Copilot, Cursor, or enterprise equivalents) and their role in accelerating engineering productivity
  • Understanding of enterprise AI agent deployment platforms and the security, governance, and compliance considerations in a regulated environment
  • Commitment to responsible AI: data privacy, model governance, hallucination mitigation, and human-in-the-loop design

Nice to have:

  • Proficiency in Python for scripting, data pipelines, or AI/ML tooling integration
  • Familiarity with Go (Golang) for high-performance microservices
  • AWS, Azure, or GCP certifications (Solutions Architect, Developer Associate)
  • Certified Kubernetes Administrator (CKA) or equivalent
  • SAFe Agilist or equivalent scaled Agile certification
  • Experience with FinOps frameworks and cloud cost governance tooling
  • Familiarity with Istio service mesh and circuit-breaking / rate-limiting patterns
  • Experience with feature flags, canary deployments, and blue-green release strategies
  • Experience with Database-as-a-Service platforms (Oracle, MongoDB, PostgreSQL, MS SQL) in an enterprise managed environment
  • Prior experience working in a global matrix organisation with distributed teams across multiple time zones

Additional Information:

Job Posted:
May 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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