Python Developer, Data Protection Services

Role Summary

This mid-to-senior Software Developer role supports a data protection engineering organization within a regulated financial services environment. The position joins a small, agile squad responsible for building and scaling Python APIs and microservices that support scanning automation, data masking, policy controls, scheduling, authentication, and other cybersecurity controls. The role focuses on Python, FastAPI, Beanie, MongoDB, cloud environments, DevOps, and the secure, governed use of AI throughout the software development lifecycle. Participation in an on-call rotation and enterprise application support is required.

Responsibilities

• Build, onboard, and maintain Python API microservices using FastAPI, Beanie, and MongoDB to detect sensitive data across structured and unstructured sources.
• Develop just-in-time access and scan orchestration capabilities that support data security, compliance, privacy, and threat monitoring.
• Create automation scripts and observability solutions that reduce manual effort and improve engineering efficiency.
• Support CI/CD and DevOps activities using Git, Jenkins, test automation, and production service delivery practices.
• Participate in an on-call rotation and troubleshoot application, operating system, and network issues across Linux and Windows environments.
• Apply AI-assisted and agentic development practices to improve automation and analyze scan results and dashboard data with appropriate human oversight.
• Follow secure and governed AI software development lifecycle practices across requirements, design, development, testing, deployment, monitoring, and continuous improvement.
• Participate in architecture discussions, design reviews, code reviews, and collaboration with stakeholder groups.
• Work within agile team practices, track deliverables in Jira, and release small, incremental improvements.
• Support change and incident management under ITIL practices while documenting and sharing technical knowledge across global data protection teams.

Qualifications

• Five or more years of professional Python development experience building and scaling APIs and microservices, ideally in financial services or another regulated environment.
• Hands-on experience with Python, FastAPI, Beanie, and MongoDB as a primary database.
• Experience with Git, Jenkins, CI/CD, and automated testing.
• In-depth Linux experience and working knowledge of Windows.
• Knowledge of critical cybersecurity controls, data protection concepts, and network troubleshooting and debugging.
• Working knowledge of the AI software development lifecycle, including secure and governed AI use with human oversight.
• Experience working in agile development teams and using Jira for work tracking.
• Proven technical and application support experience with enterprise systems, including knowledge of ITIL practices.
• Strong written and verbal communication skills, a collaborative approach, and an automation mindset.
• Preferred experience with ReactJS or AngularJS, TypeScript, Java, Spring Boot, Docker, Kubernetes, Kafka, Flux, Grafana, Loki, BigID, Varonis, Snyk, data analytics, DLP, or data security posture management concepts.

Publishing Pay Range: $60.00 - $65.00 hourly

This position offers a hybrid schedule, with time split between the office and remote work.