Java Full Stack Lead - Vice President

Citibank (Switzerland) AG; Pune District; Hybrid; Confidential; Full time

Job summary

Citibank (Switzerland) AG is seeking a Java Full Stack Lead - Vice President for their Pune office. The role involves designing and building production-grade software systems while implementing AI workflows and contributing to CI/CD practices.

Ideal candidates will have a strong foundation in software engineering, hands-on AI/ML experience, and a proven track record of delivering high-impact projects. The position supports a hybrid work model conducive to collaboration and innovation.

Qualifications

• Demonstrable experience in a software engineering or production engineering role.
• Hands-on experience with AI/ML engineering and LLM APIs.
• Excellent debugging and analytical skills.
• Operational experience of deploying services at scale.

Responsibilities

• Designs and maintains production-grade software systems.
• Architects and implements AI workflows.
• Writes clean, well-tested code across the full stack.
• Drives Continuous Delivery and Automation efforts.

Skills

Java

Python

Go

AI/ML Engineering

Prompt Engineering

Docker

Kubernetes

Agile methodologies

GitOps

End-to-end observability

Education

Degree in Computer Science, Mathematics, or related field

Tools

Terraform

CloudFormation

Datadog

Apache Kafka

Job description

## Java Full Stack Lead - Vice PresidentApplyremote type: Hybridlocations: Pune Maharashtra Indiatime type: Full timeposted on: Posted Todayjob requisition id: 26963392The 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.# Responsibilities* 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.# Qualifications* 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.# Human Qualities & Soft SkillsBeyond technical capability, the Production Engineer who will thrive in this role brings a distinct set of human qualities that amplify their engineering impact and elevate those around them.* **Learnability** — Rapidly acquires new skills, frameworks, and paradigms. In a field evolving as fast as AI engineering, the ability to learn is the most durable skill of all.* **Teachability** — Receives feedback with openness and intellectual humility. Actively seeks mentorship and applies guidance to accelerate growth.* **Flexibility & Adaptability** — Thrives in ambiguity. Pivots gracefully when requirements shift, technology evolves, or priorities change — without losing momentum or quality.* **Engineering Mindset** — Approaches every problem systematically: decomposing complexity, forming hypotheses, and validating solutions with rigour and precision.* **Product-Minded Thinking** — Understands that code serves users and business outcomes. Balances technical elegance with pragmatic delivery and user impact.* **Collaborative Spirit** — Builds trust across disciplines — engineering, product, operations, and leadership. Elevates the team's collective output through generosity and clear communication.* **Intellectual Curiosity** — Asks "why" before "how". Explores the edges of what's possible with AI and production systems, driven by genuine fascination rather than obligation.* **Ownership & Accountability** — Takes end-to-end responsibility for what they build. Does not hand off problems — follows through from design to deployment to post-incident review.------------------------------------------------------## **Job Family Group:**Technology------------------------------------------------------## **Job Family:**Applications Development------------------------------------------------------## **Time Type:**Full time------------------------------------------------------## **Most Relevant Skills**Please see the requirements listed above.------------------------------------------------------## **Other Relevant Skills**For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*