Software Engineer - Performance Engineering

Introduction

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your Role And Responsibilities

As an engineer in the Performance Engineering team you will design, build, and leverage the state-of-the-art Performance Engineering toolkit. This role is not simply about executing the tests, you are expected to contribute to all aspects of performance engineering.

What You Will Do

• Develop and conduct performance tests for cloud applications and infrastructure, encompassing load, stress, and endurance testing.
• Analyze performance data, identify bottlenecks, and pinpoint areas for improvement in databases / application and infrastructure.
• Collaborate across teams to optimize application code, infrastructure configurations, and resource utilization for optimal performance.
• Develop and maintain performance testing frameworks and automate performance testing processes.
• Integrate performance testing into continuous integration and continuous deployment pipelines to ensure ongoing performance validation.
  
  

Build frameworks to support advanced testing techniques for distributed databases.

• Contribute to the automation frameworks that support intricate performance tests.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 4-6 years of relevant experience
• Understand the complexities of testing distributed systems with a strong emphasis on performance tuning.
• Strong knowledge of cloud platforms (AWS, GCP, Azure, Openshift, etc.) and their services.
• Familiarity with one or more of Java/JVM based big data technologies such as Cassandra, Spark, Open Search
• Strong experience in Performance testing tools like JMeter, Gatling, LoadRunner or similar.
• Hands on in writing clean code quickly in languages like Java, Python, Go.
• Familiarity with monitoring tools (e.g., Prometheus, Grafana, CloudWatch) and logging systems.
• Experience with Docker and Kubernetes
  
  

Preferred Technical And Professional Experience

• Experience with Jenkins Pipelines -Groovy.
• Experience with any NoSQL database technology.