Technical Lead Developer – Data Classification & Compliance

Overview

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.

Your Role And Responsibilities

• 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.
  
  

Master's Degree

Required Technical And Professional Expertise

• 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.