Senior Lead - Java Full Stack - Senior Vice Presient Job at Citi (Pune)

Job Description

The Production Engineer is a pivotal role within Citi's Technology organisation, responsible for designing, building, and operating the intelligent systems that underpin our global production environment. This is an engineering-first position at the intersection of software craftsmanship, AI-native development, and large-scale distributed systems. As part of a multi-year transformation journey, the successful candidate will help define what production engineering looks like in an era of autonomous agents, generative AI, and self-healing infrastructure. You will be expected to write production-grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi's India technology hub. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area.

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes
Operates within a highly regulated financial environment, maintaining in-depth understanding of compliance requirements and their implications for system design and data handling
Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence
Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period
Fosters a culture that promotes transparency and innovation for increased team productivity

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable
Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban)
Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
Degree in Computer Science, Mathematics, Physics, or a related technical subject is desirable
Experience of senior stakeholder management
Consistently demonstrates clear and concise written and verbal communication skills
Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures

Nice to have

Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable
Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
Degree in Computer Science, Mathematics, Physics, or a related technical subject is desirable

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Senior Lead - Java Full Stack - Senior Vice Presient

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