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Technical Lead Developer - Data Classification & Compliance

3 days ago Bangalore, India

Introduction

(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.

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.

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Required education

Bachelor's Degree

Preferred education

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).

Preferred technical and professional experience

  • 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.

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IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

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OTHER RELEVANT JOB DETAILS

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.

Client-provided location(s): Bangalore, India
Job ID: IBM-79503
Employment Type: OTHER
Posted: 2025-12-11T18:57:32

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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