About Atos
Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Mainframe Legacy Modernization Architect (GenAI-Powered)
Location: Bangalore (Whitefield) or Chennai (Siruseri) or Pune (Talawade) or Mumbai (Airoli (West).
Type of Hire: Full-Time
Experience: 15+ years
Role Overview
We are seeking a seasoned Technical Architect to lead GenAI-driven legacy modernization initiatives, with a strong focus on mainframe (COBOL, JCL), midrange, and other legacy technologies. The architect will define modernization strategies that leverage Generative AI (LLMs, Code Transformation, Intelligent Refactoring) to accelerate migration, improve code quality, and preserve business logic. The role blends deep legacy expertise with modern cloud-native architecture and AI innovation.
Key Responsibilities
Modernization Strategy: Define end-to-end modernization blueprints for mainframe and legacy platforms (COBOL, PL/1, RPG, JCL) using GenAI-powered automation. AI-Driven Transformation: Design and guide adoption of Generative AI tools for code analysis, documentation generation, automated refactoring, and language migration. Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving business rules. Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools (code translators, test generators, documentation bots) within modernization pipelines. Integration & Ecosystem: Define approaches to integrate modernized applications with enterprise ecosystems (APIs, event-driven architecture, cloud). Proof of Concepts (POCs): Drive R&D pilots to validate GenAI’s effectiveness in accelerating modernization and reducing manual rework. Governance & Compliance: Ensure transformation solutions adhere to security, compliance, and audit standards for enterprise environments. Collaboration: Work closely with business stakeholders, modernization teams, and AI/ML experts to align solutions with enterprise IT roadmaps. Mentorship & Knowledge Sharing: Provide guidance to development teams on legacy code patterns, modernization practices, and GenAI adoption.
Skills & Qualifications
Legacy Expertise: Strong background in mainframe technologies (COBOL, JCL, VSAM, DB2) and midrange/legacy systems. Modern Architectures: Experience architecting Java, .NET, microservices, cloud-native applications. GenAI Knowledge: Understanding of LLMs, prompt engineering, embeddings, code generation, and how they can accelerate modernization. Migration Tools: Familiarity with code transformation frameworks, reverse engineering, and static analysis tools. Cloud & DevOps: Hands-on with AWS/Azure/GCP, Kubernetes, CI/CD, and containerized deployments. Data Modernization: Experience with ETL, database migration (DB2 → relational/cloud), and data lineage in modernization programs. Security & Compliance: Knowledge of enterprise security standards, regulatory compliance, and data privacy requirements. Leadership & Communication: Strong leadership, stakeholder management, and ability to communicate complex solutions to both technical and non-technical audiences.