Senior Python Developer

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Why We Need You:

Our team is at the forefront of building AI-powered developer tools that transform how engineering teams work across Citi. From release automation and CI/CD modernization to source control migrations and innovative AI utilities, we are solving complex challenges at scale. As we expand our portfolio of tools, we need a skilled Python developer who can build robust backend services, integrate cutting-edge AI capabilities, and collaborate closely with users to drive adoption. Your work will directly impact thousands of developers across Citi, helping them modernize their workflows, automate repetitive tasks, and leverage AI to boost productivity.

About the Role:

We are seeking a Senior Python Developer to own and maintain AI-powered developer tools across multiple domains including release automation, source control migration, CI/CD modernization, and AI innovation. You will work on backend services that leverage Generative AI to automate complex workflows, configuration transformations, and code generation. Beyond development, you will actively collaborate with users and encourage adoption of these tools across the organization.

Key Responsibilities:

• Own and maintain Python-based services built with FastAPI and Uvicorn across multiple tool domains.
• Develop AI-powered features for release automation, migration utilities (e.g., BitBucket to GitHub Enterprise and from legacy to new ci/cd tooling) and developer productivity tools.
• Integrate with LLM/Gen AI services for intelligent code analysis, transformation, and automation.
• Build and maintain REST APIs that serve frontend applications and integrate with enterprise systems.
• Work with databases (MongoDB, PostgreSQL, or similar) for storing and querying metadata.
• Proactively identify, assess, and remediate CVEs/CVMs in Python dependencies, ensuring timely resolution.
• Implement async/await patterns for efficient API handling and rate limiting strategies.
• Write and maintain unit tests using pytest and perform load testing with Locust.
• Support Kubernetes/Helm-based deployments across DEV, UAT, COB, and PROD environments.
• Collaborate with engineering teams to understand their needs and gather feedback for tool improvements.
• Actively encourage and support users in adopting AI-powered tools through demos, office hours, and hands-on assistance.
• Contribute to AI innovation initiatives, exploring new use cases and proof-of-concepts.
• Ensure code quality through Black, isort, and SonarQube compliance.

Required Skills:

• 5-6 years of professional experience in Python development.
• Strong proficiency in FastAPI or similar async web frameworks (Flask, Django REST).
• Experience with asynchronous programming (asyncio, async/await patterns).
• Solid understanding of RESTful API design and implementation.
• Experience with NoSQL or relational databases (MongoDB, PostgreSQL, or similar).
• Familiarity with LLM/Gen AI integration concepts and willingness to innovate with AI.
• Experience with template engines (Jinja2) for code/config generation.
• Proficiency in YAML/JSON processing.
• Experience with containerization (Docker) and basic Kubernetes/Helm knowledge.
• Strong testing skills with pytest.
• Excellent collaboration and communication skills with ability to work closely with end users.
• Proactive mindset in encouraging tool adoption and providing user support.
• Experience with Git version control (GitHub, BitBucket) and PR-based workflows.

Preferred Skills:

• Experience with Google Cloud Platform, Vertex AI, or similar AI/ML platforms.
• Knowledge of CI/CD concepts, release automation, and DevOps practices.
• Experience with source control migrations (BitBucket, GitLab, GitHub Enterprise).
• Familiarity with OIDC/OAuth authentication.
• Experience with rate limiting and retry patterns for API integrations.
• Understanding of prompt engineering for LLM applications.
• Experience conducting technical demos or training sessions.

Nice to Have:

• Experience with LLM evaluation frameworks.
• Hands-on experience with enterprise CI/CD platforms.
• Experience working in financial services or regulated environments.
• Passion for AI innovation and exploring emerging technologies.
• Familiarity with Citi's internal tools and infrastructure.