Application Development Lead Analyst (Python) - Vice President

Citi · Pune · Posted 2026-07-18

Tech stack: Docker, Golang, Java, Kubernetes, Python, React, TypeScript

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About the role

We are seeking a seasoned Senior Full-Stack Developer and Technologist with a strong Python (or Java with willingness to learn Java) to join our flat, agile team. The ideal candidate will be a self-starter, innovative, and a strong collaborator, contributing to critical projects that advance Citi's AI and data strategy. This is a hands-on engineering role for someone passionate about modern web development and building high-impact platforms.
Responsibilities: - User Experience Focus:
- Design and build intuitive and easy to use platform capabilities catering to a diverse end-user audience across the firm.
- AI-Powered UI Interoperability:
- Drive the vision and implementation of AI to enhance user interface interactions and improve workflows.
- Technical Leadership: Lead and manage technical components within the team, ensuring alignment with business objectives and driving best practices.
- Software Development: Develop, implement, and maintain high-quality code using object-oriented programming principles in languages such as Java, Python, or Golang.
- CI/CD & DevOps:
- Implement and manage CI/CD pipelines for continuous integration, delivery, and deployment.
- Troubleshooting: Proactively identify, diagnose, and resolve technical problems and bugs efficiently.
- Collaboration: Work effectively with teammates on shared components and codebases, fostering a collaborative development environment.
- Mentorship: Provide technical guidance and mentorship to junior team members, contributing to their growth and development.
- Quality Assurance: Ensure software quality through rigorous code reviews, technical design reviews, unit testing, and integration testing.
Qualifications: - and Skills Proven experience as a senior full-stack software engineer with a passion for modern development.
- Python Front-End Expertise:
- Proficiency in TypeScript and react.js, HTML, CSS is desirable.
- Containerization & Cloud:
- Demonstrated experience with Docker, Kubernetes, and cloud platforms (e.g., OpenShift).
- Architecture: Solid understanding of microservices architecture, REST APIs, and message queuing systems.
- Development Principles: Familiarity with DevSecOps principles and CI/CD pipelines.
- Programming: Proficient in at least one object-oriented programming language (e.g., Java, Python).
- Fundamentals: Strong grasp of technical fundamentals including networking, databases, and CLI.
- Code Quality: Passion for delivering clean, testable, and maintainable code.
- Excellent communication, collaboration, critical thinking, and problem-solving skills.
- Adaptability: Ability to thrive in a fast-paced, dynamic environment where requirements may evolve.
- Desirable Skills Presentation Skills:
- Strong ability to articulate complex technical ideas and present them effectively to senior leadership.
- Generative AI Knowledge:
- Understanding of Generative AI capabilities, including system prompts, tool selection, and Model Context Protocol for data and service sharing.
- Team Management: or interest in software team management.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Graduate-level education or continuing education in a related field is a plus.
- If you're ready to make a real impact and build something extraordinary at the forefront of AI innovation in financial markets, join us!

Qualifications

- and Skills Proven experience as a senior full-stack software engineer with a passion for modern development.
- Python Front-End Expertise:
- Proficiency in TypeScript and react.js, HTML, CSS is desirable.
- Containerization & Cloud:
- Demonstrated experience with Docker, Kubernetes, and cloud platforms (e.g., OpenShift).
- Architecture: Solid understanding of microservices architecture, REST APIs, and message queuing systems.
- Development Principles: Familiarity with DevSecOps principles and CI/CD pipelines.
- Programming: Proficient in at least one object-oriented programming language (e.g., Java, Python).
- Fundamentals: Strong grasp of technical fundamentals including networking, databases, and CLI.
- Code Quality: Passion for delivering clean, testable, and maintainable code.
- Excellent communication, collaboration, critical thinking, and problem-solving skills.
- Adaptability: Ability to thrive in a fast-paced, dynamic environment where requirements may evolve.
- Desirable Skills Presentation Skills:
- Strong ability to articulate complex technical ideas and present them effectively to senior leadership.
- Generative AI Knowledge:
- Understanding of Generative AI capabilities, including system prompts, tool selection, and Model Context Protocol for data and service sharing.
- Team Management: or interest in software team management.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Graduate-level education or continuing education in a related field is a plus.
- If you're ready to make a real impact and build something extraordinary at the forefront of AI innovation in financial markets, join us!

Responsibilities

- User Experience Focus:
- Design and build intuitive and easy to use platform capabilities catering to a diverse end-user audience across the firm.
- AI-Powered UI Interoperability:
- Drive the vision and implementation of AI to enhance user interface interactions and improve workflows.
- Technical Leadership: Lead and manage technical components within the team, ensuring alignment with business objectives and driving best practices.
- Software Development: Develop, implement, and maintain high-quality code using object-oriented programming principles in languages such as Java, Python, or Golang.
- CI/CD & DevOps:
- Implement and manage CI/CD pipelines for continuous integration, delivery, and deployment.
- Troubleshooting: Proactively identify, diagnose, and resolve technical problems and bugs efficiently.
- Collaboration: Work effectively with teammates on shared components and codebases, fostering a collaborative development environment.
- Mentorship: Provide technical guidance and mentorship to junior team members
- contributing to their growth and development.
- Quality Assurance: Ensure software quality through rigorous code reviews, technical design reviews, unit testing, and integration testing.

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