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.
We are seeking enthusiastic and self-motivated Performance Engineers to join our team! In this role, you will ensure optimal performance throughout the development lifecycle by validating performance metrics, analyzing system and application data, and assisting in performance tuning and fault resolution. Your work will be critical to optimizing reliability, scalability, and efficiency, contributing to the overall success of our software solutions.
- Collaborate with development teams and other stakeholders to ensure optimal performance throughout the software lifecycle.
- Validate performance-related metrics to meet project requirements.
- Analyze performance data from operating systems and applications to identify bottlenecks.
- Assist in performance tuning and troubleshooting to optimize system reliability.
- Contribute to the scalability, efficiency, and robustness of software solutions.
- Provide insights and recommendations to improve overall software performance.
1. Candidate should have 6 to 8 years of experience in doing performance testing
2. Coding Skills in Java & Shell Scripting. Good knowledge of at least one RDBMS and SQL language
3. Knowledge in scripting (JMeter and Java), running, monitoring, and troubleshooting performance tests. Knowledge in troubleshooting issues with Java JVM, application server, JMS middleware, network, hardware resource etc.
4. Knowledge of working on micro-services deployed on the Kubernetes cluster. Experience in performance testing REST APIs
5. Experience in doing scalability / benchmark testing. Experience in hardware sizing
- Knowledge working on Cassandra, Kafka, MongoDB, etc.
- Prior OMS work Experience or Large Scale Enterprise applications on Cloud.