Mainframe Legacy Modernization Engineer

Role: Senior Software Engineer / Lead Engineer Legacy Modernization & Agentic AI (AWS)

Skills Required: Cobol, DB2, AWS, Agentic AI

Location: Remote

Contract

Position Summary

We are looking for experienced Software Engineers to support a large-scale Legacy Modernization initiative. The ideal candidate will possess strong expertise in AWS cloud technologies, a solid understanding of legacy mainframe applications, and experience building AI-powered agentic workflows. This role involves modernizing mission-critical systems, leveraging cloud-native architectures, and enabling intelligent automation through AI agents.

We are looking for Engineers, having deep database modernization expertise, particularly around legacy mainframe databases.

Key Responsibilities

• Analyze, understand, and modernize legacy mainframe applications built on COBOL, IMS, and DB2.
• Design and implement cloud-native solutions on AWS as part of modernization and migration initiatives.
• Develop and deploy Agentic AI workflows that automate business processes, code modernization, analysis, and operational tasks.
• Build scalable APIs, microservices, and event-driven architectures to replace legacy workloads.
• Collaborate with business stakeholders, architects, database teams, and platform engineers to define modernization strategies.
• Perform application decomposition, dependency analysis, and migration planning.
• Implement best practices around security, observability, resiliency, and performance optimization on AWS.
• Support data migration, schema transformation, and modernization of legacy database platforms.
• Participate in architecture reviews, code reviews, and technical design discussions.

Required Skills & Experience

Core Skills

• 6+ years of software engineering experience.
• Strong hands-on experience with AWS Cloud Services (Lambda, ECS/EKS, API Gateway, Step Functions, S3, RDS, DynamoDB, CloudFormation/Terraform, etc.).
• Experience working with Legacy Mainframe Applications.
• Good understanding of:
  • COBOL
  • IMS
  • DB2
  • Batch Processing Systems
  • Mainframe Integration Patterns
• Experience designing and developing Agentic AI workflows, autonomous agents, and AI-driven automation solutions.
• Strong programming experience in one or more modern languages such as:
  • Python
  • Java
  • Node.js
• Experience with Microservices and API-based architectures.
• Knowledge of CI/CD, DevOps, and Infrastructure as Code practices.

Preferred Qualifications

• Experience with application modernization and cloud migration programs.
• Knowledge of Generative AI platforms, LLMs, RAG architectures, orchestration frameworks (LangGraph, CrewAI, AutoGen, LangChain, etc.).
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with event-driven and serverless architectures.
• Prior experience in financial services, insurance, or other enterprises running large-scale mainframe workloads.

Database Modernization Specialist

One of the selected engineers should have strong expertise in:

• DB2 Database Architecture and Administration.
• Data Modeling and Database Design.
• Database Migration and Modernization Strategies.
• Legacy-to-Cloud Database Transformation.
• Data Quality, Data Reconciliation, and Validation.
• AWS Database Services (Aurora, RDS, DynamoDB, Redshift).
• Performance Tuning and Query Optimization.

Data Integration and ETL/ELT pipelines