Associate Principal SDET ( Performance Engineer)

WHAT YOU WILL BE DOING

• Architect and Design performance-optimized solutions for complex systems, ensuring scalability, reliability, and cost-effectiveness.
• Define and implement performance strategies across the organization, including testing, tuning, and monitoring plans.
• Analyze system performance from end to end, identifying performance bottlenecks and providing architectural recommendations for optimization.
• Lead performance engineering efforts, ensuring robust and scalable designs through every phase of the development lifecycle.
• Leverage AI platforms to enhance and solution for performance activites
• Collaborate with development, operations, and business teams to ensure performance standards are met throughout the infrastructure.
• Ensure the effective use of performance testing tools and monitoring solutions, including designing load models,test cases, and reporting frameworks.
• Perform architectural reviews of systems with a focus on identifying and eliminating performance bottlenecks.
• Guide the team in capacity planning and scalability strategies for current and future growth.
• Oversee the execution of benchmarking, load testing, stress testing, and endurance testing to validate performance targets.

Technical Skills

• Performance Testing Tools: Expertise in JMeter and performance testing frameworks (e.g., Gatling,LoadRunner).
• Programming/Scripting: Proficient in Java, JavaScript, and shell/bash for performance automation.
• Monitoring & Profiling: Experience with Heap Dumps, GC Logs, and tools like Datadog, AppDynamics,Dynatrace, Grafana.
• Cloud: Familiar with AWS, GCP, or Azure for cloud performance optimizations.
• Containers & Orchestration: Knowledge of Docker and Kubernetes for containerized environments.
• CI/CD Automation: Experience with GitLab, GitHub, Jenkins for integrating performance tests in CI/CD pipelines.
• AI : Any AI tools and relevant prompt engineering to leverage it for solutions and tools.

WHAT YOU BRING

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related fields.
• 12+ years of experience in performance engineering, with at least 4 to 6 years in a Performance Engineer or similar role.
• Architectural Expertise: Deep understanding of distributed systems, microservices architecture, and cloud-native environments (AWS, GCP, Azure).
• Performance Engineering Tools: Expertise in performance tools such as JMeter, LoadRunner, Gatling, Dynatrace, AppDynamics, Datadog, Grafana, Prometheus, and custom-built tools for real-time monitoring and testing.
• Programming and Scripting: Proficiency in Java, JavaScript, Python, or other programming languages to implement performance optimizations and automate testing and monitoring workflows.
• AI Tools : Experience in AI to develop solutions and tools to complement the performance activities.
• Cloud and Containerization: Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration technologies like Docker and Kubernetes. Expertise in cloud-native architectures and edge service optimizations.
• Deep Analytical Skills: Ability to analyze system performance metrics (e.g., CPU usage, memory, network I/O,disk I/O, garbage collection) and provide architectural solutions to improve performance.
• Capacity Planning: Experience with capacity management and planning to ensure that systems can scale under increasing user demand without degrading performance.
• Collaboration and Leadership: Strong collaboration skills to work with developers, product managers, DevOps, and business teams. Ability to lead performance discussions and architectural improvements.