Description

You design and execute end-to-end performance engineering strategies for web, API, database, cloud, and distributed systems.

This role is on-site.

Responsibilities

• Build and maintain performance test frameworks for load, stress, spike, endurance, and scalability testing.
• Use AI-enabled tools to improve test scenario generation, workload modeling, synthetic data generation, and anomaly detection.
• Analyze performance metrics across application, infrastructure, and database layers to identify bottlenecks and perform root cause analysis.
• Partner with development, QA, SRE, and DevOps teams to integrate performance testing into CI/CD pipelines.

Required Skills

• 8+ years of experience in performance engineering.
• Hands-on experience with performance testing tools such as JMeter, k6, or Blazemeter.
• Proficiency in scripting languages including Python, Java, JavaScript, Groovy, or Shell.
• Experience analyzing distributed systems, microservices, APIs, databases, caching, and messaging systems.
• Familiarity with cloud-native platforms and system architecture.
• Strong analytical, troubleshooting, and communication skills.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with AI-assisted or AI-powered engineering tools for test automation, observability, or operational intelligence.
• Knowledge of CI/CD and DevOps tools.

Key Skills

Education

Bachelor's degree