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:
- 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
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