Forward Deployed Engineer – Mainframe Modernization & Cloud Transformation
Kyndryl (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Remediate and enhance AI-generated modernization code, fixing build and dependency issues and implementing missing business functionality.
- Transform legacy mainframe workloads into production-ready cloud-native applications, including preparing them for testing, deployment, and operational readiness.
- Support AWS deployments and CI/CD, while contributing to automated testing, code quality, security, and performance of modernized applications.
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 experience in enterprise application modernization may be considered.
- Hands-on mainframe expertise in COBOL, CICS, JCL, DB2, and VSAM, including business-logic analysis and legacy-to-modern transformation patterns.
- Proficiency in Java (Java 11+ preferred), Spring Boot, REST APIs, microservices, and SQL; experience with AWS, Docker, Kubernetes, and cloud-native or distributed applications.
- Hands-on AI-generated code remediation and optimization, plus experience with Git, Maven and/or Gradle, CI/CD pipelines, and automated unit testing.
Ideal Candidate Profile
- Combines practical mainframe knowledge with current Java and cloud engineering skills, and can trace legacy business behavior into production-ready services and batch applications.
- Has delivered large-scale enterprise mainframe-to-cloud modernization; direct experience with AI-assisted code transformation or agentic frameworks is a strong advantage.
- May be especially well suited to mission-critical banking, insurance, retail, transportation, or government workloads, including high-throughput batch or transactional systems.