Lead Python Engineer

Citi

. Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications .

Posted 9/25/2026full-timeUnited StatesSenior💰 $176,720 - $265,080 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCassandraCloudDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformJenkinsKubernetesMicroservicesMongoDBOraclePostgresPythonPyTorchRedisScikit-LearnSDLCSQLTensorflowUnix

About the role

Key responsibilities & impact

Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
Develop solutions adhering to architectural standards using technical and business domain knowledge
Enforce SDLC best practices and contribute to code quality through reviews
Collaborate with Risk, Quants, FO, DevOps, and Production Support teams
Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
Manage project technical aspects, including planning, governance, and ownership of initiatives
Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines

Requirements

What you’ll need

10+ years of hands-on experience in Application Development, primarily with Python
Expert-level Python 3.x proficiency
Advanced knowledge of FastAPI, Django, Flask, OOP, microservices, and event-driven architecture
Experience with PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, and advanced SQL
Expertise designing, developing, and securing RESTful APIs and integration patterns
Hands-on experience with Jenkins, GitLab CI, GitHub Actions, and Bitbucket Pipelines
Highly experienced with Unix-based operating systems
Strong background in AWS, Azure, GCP, Docker, and Kubernetes
Advanced troubleshooting, debugging, and performance optimization for distributed systems
Proficiency with Pytest, unittest, and TDD methodologies
Understanding of secure coding practices and OWASP Top 10
Expertise in Git, Bitbucket, GitHub, branching, and pull request workflows
Experience developing quantitative/calculation-intensive Python solutions
Understanding and exposure to risk methodologies
Exposure to mathematical modeling/finance insights
Exposure to TensorFlow, PyTorch, and scikit-learn
Practical experience with Copilot, Devin, Claude/Gemini/GPT, agentic AI tools, and generative AI
Experience with Agile/Scrum methodologies
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
Polyglot programming exposure, big data technologies, frontend development, relevant cloud or industry certifications, banking domain experience, and CFA/FRM certification are desirable

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays