Mainframe Platform Engineer — Cloud & Modernization

Kyndryl; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Kyndryl is seeking a software engineer to design, build and maintain high-volume business logic on the mainframe, with refactoring for cloud and mobile interactions. You'll work within a global team focused on modernization and interoperability with cloud services.

Key responsibilities include debugging complex system interactions, ensuring performance, and extracting business logic for migration to cloud-based architectures.

Qualifications

• Experience working as a software engineer on complex software projects.
• Strong coding skills in Java, Python, and .NET with debugging ability.
• Experience with software development methodologies and scalable software.
• Proficient in relational and NoSQL databases; data mapping; XML/JSON; REST services.
• Knowledge of microservices architecture, Docker, Kubernetes, and messaging queues.
• Deep understanding of OOP and design patterns.
• Bachelor's degree in Computer Science or related field.
• Cloud certification (Azure, AWS, Google GCP) advantageous.
• Experience with DevOps tools and modern engineering practices.

Responsibilities

• Maintain performance of mission-critical systems.
• Find and fix: debug, troubleshoot, and analyze complex system interactions.
• Bridge the gap: extract business logic for migration to cloud-based services.

Skills

Software eng experience

Java

Python

.NET

Software development methodologies

Relational databases

NoSQL databases

Data mapping

XML/JSON

REST APIs

Microservices

Docker

Kubernetes

Messaging queues

OOP

Design patterns

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

RESTful services

Job description

Kyndryl is seeking a software engineer to design, build and maintain high-volume business logic on the mainframe, with refactoring for cloud and mobile interactions. You'll work within a global team focused on modernization and interoperability with cloud services.

Key responsibilities include debugging complex system interactions, ensuring performance, and extracting business logic for migration to cloud-based architectures.