Software Performance Engineer

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities

You will contribute to the performance engineering of features related to the development of Kubernetes and container based object services and advanced workloads using those services. You’ll play a specific part in design develop and executing performance test plans and scenarios for these services. Design develop and execute performance test plans and scenarios for Kubernetes-based applications and services. Deep understanding of Kubernetes architecture and components. Utilize tools and frameworks to conduct load stress and scalability testing to Identify performance bottlenecks and provide actionable recommendations. Analyze system performance data to identify trends and areas for improvement. Optimize the performance of compute network and storage resources Implement tuning and configuration changes to enhance system performance. Set up and maintain performance monitoring tools and dashboards. Proactively monitor system performance and address performance issues as they arise. Collaborate with development engineering teams to resolve performance-related incidents. Document performance test plans results and optimization strategies. Provide detailed performance reports and present findings to stakeholders. Develop best practices and guidelines for performance testing and optimization.

Required Technical and Professional Expertise

• Experience with performance testing tools such as JMeter Gatling or similar.
• Proficiency in performance monitoring and analysis tools like Prometheus Grafana or similar tools
• Strong knowledge of hybrid cloud environments and associated technologies (e.g. AWS Azure Google Cloud)
• Experience with test automation using python
• Strong troubleshooting skills and attention to detail
• Ability to develop and implement effective performance optimization strategies.
• Excellent verbal and written communication skills
• Ability to work effectively in a team environment and collaborate with cross- functional teams.
• Strong organizational skills and ability to manage multiple priorities.

Preferred Technical and Professional Expertise

• Certification in Kubernetes (CKA CKAD)
• Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
• Familiarity with CI/CD pipelines and DevOps practices