Kyndryl

Forward Deployed Engineer – Mainframe Modernization & Cloud Transformation

Kyndryl
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3 days ago
Pune, India or Bengaluru, IndiaSenior

Responsibilities

  • Analyze legacy mainframe business logic across COBOL, CICS, JCL, DB2, and VSAM environments.
  • Consume, validate, remediate, and enhance AI-generated modernization code and artifacts.
  • Resolve compilation, build, dependency, integration, and runtime issues in transformed applications.
  • Implement missing business functionality and prepare applications for testing, deployment, and operational readiness.
  • Develop and enhance cloud-native applications using Java, Spring Boot, and Spring Batch.
  • Transform legacy processes into RESTful APIs, microservices, service-oriented architectures, and event-driven architectures.
  • Modernize DB2 and VSAM access patterns into relational, NoSQL, or cloud-native data access layers.
  • Package, deploy, and manage applications using Docker and Kubernetes on AWS.
  • Build and troubleshoot automated CI/CD pipelines and support cloud deployment readiness.
  • Design automated unit tests, conduct code reviews, support integration, functional, and performance testing, and enforce security and coding standards.
  • Collaborate with architects, platform engineers, QA, and modernization teams on enterprise transformation programs.

Requirements

  • At least 5 years of overall software engineering experience.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field, with equivalent practical experience in enterprise application modernization considered.
  • Hands-on expertise with COBOL, JCL, CICS, DB2, VSAM, batch processing frameworks, and mainframe application architecture.
  • Strong proficiency with Java, Spring Boot, REST APIs, microservices architecture, and SQL.
  • Experience with Git, Maven and/or Gradle, CI/CD pipelines, and automated unit testing using tools such as JUnit and Mockito.
  • Experience with AWS services, Docker, Kubernetes, cloud-native application development, distributed systems, and service-based architectures.
  • Ability to remediate and optimize AI-generated code, transform legacy applications, and generate or remediate automated tests.
  • Experience mapping COBOL to Java, CICS to APIs or services, JCL to Spring Batch or cloud batch, and modernizing DB2 and VSAM patterns.
  • Strong analytical and troubleshooting skills for build, compilation, dependency, and integration problems.
  • Preferred experience with large-scale mainframe modernization or migration programs and AI-assisted software engineering frameworks.
  • Preferred experience modernizing mission-critical banking, insurance, retail, transportation, or government applications.
  • Knowledge of event-driven architectures, cloud-native design patterns, domain-driven design, API-first development, and automated code quality and security tools is preferred.
  • AWS or other cloud modernization certifications are a plus.
  • Experience profiling and optimizing high-throughput batch processing and high-volume transactional workloads is preferred.

Benefits

  • Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
  • Access to certifications with Microsoft, Google, and Amazon, along with coaching, hands-on experiences, and continuous learning opportunities.
  • Personalized development goals, career-path tools, continuous feedback, and opportunities to build in-demand skills.
  • Inclusive culture focused on belonging, empathy, professional growth, and shared success.

Tech Stack

AWSCOBOLDockerGitGradleIBM DB2JavaJUnitKubernetesMavenSpring BootSQL

Categories

Forward Deployed
Kyndryl

About Kyndryl

10,000+ employees

Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.

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