Forward Deployed Engineer – Mainframe Modernization & Cloud Transformation
Kyndryl (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Turn AI-generated modernization outputs into production-ready cloud applications by remediating code, fixing builds, and implementing missing business functionality.
- Transform COBOL/CICS/JCL and DB2/VSAM workloads into Java-based services and batch applications, then prepare them for testing, deployment, and operational readiness.
- Support AWS deployments and CI/CD delivery, including automated testing, security, quality, and performance readiness.
Minimum Requirements
- Work Experience Required: 5+ years of software engineering experience. A Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related field is required; equivalent practical enterprise-modernization experience may be considered.
- Hands-on expertise in COBOL, JCL, CICS, DB2, VSAM, batch processing, and analysis of mainframe application logic; practical experience mapping legacy patterns to modern services, APIs, batch, and data access layers.
- Strong Java (Java 11+ preferred), Spring Boot, REST APIs, microservices, and SQL skills; experience with Git, Maven and/or Gradle, CI/CD, and automated unit testing.
- Experience with AWS, Docker, Kubernetes, cloud-native applications, and distributed systems; hands-on ability to remediate AI-generated code, transform legacy applications, and troubleshoot build, compilation, and dependency issues.
Ideal Candidate Profile
- Has delivered or contributed to large-scale enterprise mainframe-to-cloud modernization, especially for mission-critical banking, insurance, retail, transportation, or government applications.
- Can bridge legacy business logic and modern Java/cloud architectures, including COBOL-to-Java, CICS-to-API, JCL-to-cloud batch, and DB2/VSAM modernization patterns.
- Fits a hands-on delivery environment involving generated-code validation, complex troubleshooting, automated quality and security controls, and coordination with architecture, platform, QA, and modernization teams.