Spark Application Engineer

As a Spark Application Engineer at Kyndryl, you will contribute to the full lifecycle of data-driven and enterprise application components running on Linux-based environments. You will work with Python and Spark/PySpark to develop, customize, and operate data-processing workflows, while supporting the reliability, security, and performance of business-critical applications.

You will collaborate closely with development, data, and infrastructure teams to ensure smooth operations, continuous improvement, and alignment with cloud-native delivery models.

Responsibilities:

• Develop and maintain application components and data-processing workflows using Python, Spark, and PySpark • Support assessments and contribute to the design of cloud-based application architectures and operational models • Implement and follow security and compliance guidelines for data protection, privacy, and integrity • Collaborate with Development and Infrastructure teams on DevOps pipelines, CI/CD, release processes, and operational continuity • Support governance, monitoring, incident handling, change execution, and performance optimization of application services • Operate in Linux environments using CLI, reading logs, running scripts, performing basic troubleshooting, and understanding processes and file systems