Technical Lead Developer – Data Classification & Compliance

(Financial Services Focus)

We are seeking a highly experienced and strategic technical leader to fill the role of Technical Lead Developer. This position requires a unique blend of deep technical expertise in both legacy mainframe systems and modern software development practices with a specific focus on leading our data classification initiatives within the heavily regulated financial services industry . The successful candidate will drive high-level project planning provide technical guidance to cross-functional development teams and ensure robust secure and performant solutions that align technology with strategic business goals.

This role requires balancing hands-on coding and architecture design with technical leadership and process optimization to deliver complex regulated projects.

• Technical Leadership: Serve as the primary technical leader for complex projects providing high-level project planning and strategic direction while ensuring alignment with business objectives and stakeholder requirements.

• Data Classification & Compliance Expertise: Apply a deep understanding of financial data types and regulatory compliance requirements to the design and implementation of ML solutions.

• Architecture & Design: Drive software architecture decisions promoting component-based and domain-driven design principles for scalable and maintainable systems across relational and non-relational databases.

• ML & Containerization Strategy: Oversee the technical integration and deployment of machine learning workloads specifically for data categorization within containerized environments using Docker and zCX.

• Security & Compliance by Design: Implement robust security practices following OWASP guidelines and Security-by-Design methodologies ensuring all solutions meet stringent regulatory compliance frameworks across various industries.

• Guidance & Mentorship: Guide and mentor engineering teams fostering a culture of technical excellence clean coding and adherence to best practices.

• Software Development Mastery: Strong technical expertise in software development and architecture emphasizing clean code principles and modern software design patterns.

• Python Proficiency: Highly skilled in Python for data science machine learning applications and automation tasks.

• Mainframe Expertise: In-depth knowledge of mainframe environments including the z/OS operating system JCL and REXX programming languages.

• Database Management: Excellent understanding and experience with both DB2 (including performance tuning and management) and VSAM databases.

• Security Management: Familiarity with External Security Managers (ESMs) such as RACF for authentication and authorization protocols.

• MLOps & Deployment: Experience with deploying machine learning models in containerized environments (Docker zCX) combined with familiarity with Unix/Linux operating systems.

• Industry Experience: Prior experience working with large enterprises within highly regulated sectors such as Financial Services Insurance Government and Transportation.

• Web Technologies & DevOps: Familiarity with web technologies CI/CD pipelines test automation and security-based design practices (OWASP).

• Java/JavaScript Experience: Familiarity with Java or JavaScript ecosystems which can aid in integrating modern front-ends or enterprise middleware with backend systems.

• API Management Tools: Prior use of API gateways and management platforms (e.g. Apigee Mulesoft) for governing access to mainframe data services.

• Additional Databases: Experience with other database technologies such as IBM IMS.

• Certifications: Relevant certifications in software architecture machine learning or mainframe technologies are a plus.