Description

Roles and Responsibilities

Design, develop, maintain, and support IBM Mainframe applications using COBOL, JCL, CICS, DB2, VSAM, and related technologies.

Analyze existing mainframe applications and identify modernization opportunities using AI/GenAI solutions.

Develop AI-powered tools and automation solutions for code analysis, documentation generation, testing, and application modernization.

Integrate mainframe systems with cloud platforms, APIs, and AI/ML services.

Collaborate with business stakeholders, architects, and development teams to define technical solutions and modernization strategies.

Perform impact analysis, code reviews, debugging, and performance tuning of mainframe applications.

Develop and maintain technical documentation, process flows, and system specifications.

Support application migration, refactoring, and transformation initiatives.

Implement security, compliance, and governance standards across mainframe and AI solutions.

Participate in Agile development processes, sprint planning, and technical design discussions.

Evaluate emerging AI/GenAI technologies and recommend innovative use cases for mainframe environments.

Required Skills:-

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

10+ years of hands-on experience in IBM Mainframe development.

Strong experience with COBOL, JCL, CICS, DB2, VSAM, IMS, and TSO/ISPF.

Experience with software development lifecycle (SDLC) and Agile methodologies.

Knowledge of REST APIs, microservices, and system integration concepts.

Understanding of AI/ML fundamentals and Generative AI technologies.

Experience working with Large Language Models (LLMs) and AI-assisted development tools.

Strong analytical, problem-solving, and communication skills.

Preferred Skills:-

Experience with IBM Watsonx, OpenAI, Azure OpenAI, or similar AI platforms.

Exposure to mainframe modernization programs and cloud migration initiatives.

Experience with Python, Java, or other modern programming languages.

Familiarity with DevOps, CI/CD pipelines, Git, Jenkins, and automation tools.

Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI governance.

Experience integrating AI solutions with enterprise applications and legacy systems

Key Skills

Education

Any Graduate