Performance Engineer - Remote

Overview

QAD is seeking a Performance Engineer to ensure the scalability, reliability, and efficiency of our SaaS product running on Amazon EKS and our bare metal server-based product running in cloud environments.

In Short

• Design and execute load, stress, endurance, and scalability tests for EKS-based SaaS and bare-metal environments.
• Identify and resolve bottlenecks in applications and infrastructure.
• Conduct holistic analysis of server-side resources and key product areas.
• Investigate and resolve complex performance issues affecting customers.
• Develop performance testing scripts using JMeter, k6, or Python.
• Write Linux scripts to extract meaningful performance data when required.
• Perform root cause analysis and troubleshoot performance issues.
• Collaborate with cross-functional teams to enhance product scalability.
• Actively participate in team meetings and contribute to strategic discussions.

Requirements

• Bachelor’s degree in Software Engineering, Computer Science, Engineering, Mathematics, or equivalent experience.
• 3 to 5 years of experience in a performance engineering role.
• Experience in performance testing tools.
• Fluent English with excellent communication skills.
• Hands-on experience with Linux/UNIX and scripting.
• Strong problem-solving, troubleshooting, and analytical skills.
• Ability to work independently, think critically, and solve complex technical issues.
• Experience in medium to large organizations with performance-focused roles.
• Strong debugging skills and an analytical approach to problem-solving.

Benefits

• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
• Compensation packages based on experience and desired skill set.