About the role

CI/CD & Infrastructure Automation Lead (Python) for Equity Risk Systems team at Morgan Stanley. Responsible for automating QA and DevOps processes using Python.

Responsibilities

Leverage a strong background in Python programming as a senior individual contributor.
Enhance overall developer productivity across our fleet.
Streamline workflows, reduce manual tasks, and contribute to the efficiency and effectiveness of our Equity Risk development & QA teams.
Lead the design, development, and testing of high-performance tools and data platforms.
Perform hands-on coding expertise with strategic leadership to align technology with business objectives.
Own the full lifecycle of Python applications, services, and data pipelines that power real-time risk analytics—from architecture and clean, well-tested code to production reliability.
Drive automation and operational excellence by building CI/CD pipelines, containerizing workloads, and implementing infrastructure as code, ensuring scalability, security, and resilience across our systems.
Ability to mentor or guide junior staff and initiatives.

8+ years of experience developing large-scale Python applications and services.
Solid understanding of Linux operating systems.
A passion for streamlining manual tasks through automation and actively supporting DevOps initiatives.
Demonstrated ability to comprehend and analyze complex distributed systems, including their interdependencies and deployment processes.
Solid understanding of Jenkins and pipeline-as-code.
Solid understanding of data structures and algorithms.
Knowledge of relational databases and SQL.
Experience writing unit tests and using patching/mocking frameworks.
Experience managing, deploying, and troubleshooting large-scale production environments.
Familiarity with containerization technologies.
Bachelor’s degree in Computer Science or a related field.