Senior Engineer - Performance Engineering

Role Overview

Key Responsibilities

• Design and implement comprehensive performance testing strategies for cloud management platforms, with a focus on serverless applications.
• Develop, execute, and maintain performance test plans, scripts, and scenarios using tools like JMeter, Gatling, Locust, or serverless-specific testing tools.
• Monitor and analyze serverless application performance in AWS Lambda, Azure Functions, Google Cloud Functions, etc.
• Identify and troubleshoot performance bottlenecks in serverless environments, considering cold starts, execution time, concurrency limits, and resource utilization.
• Optimize performance and reduce costs for serverless applications through proactive monitoring, tuning, and best practices.
• Work closely with development and SRE teams to implement and integrate serverless performance testing into CI/CD pipelines.
• Collaborate with stakeholders to evaluate system performance, assess scalability, and plan capacity for serverless architectures.
• Use performance monitoring tools such as AWS CloudWatch, Lambda Insights, Datadog, New Relic, or similar to monitor and report serverless application performance metrics.
• Develop and maintain dashboards and performance metrics tailored to serverless applications.
• Stay up-to-date with industry trends, serverless architectures, and best practices in performance engineering.

Must have:

• Hands-on experience with performance testing tools such as JMeter, Gatling, Locust, or serverless-specific testing frameworks.
• Strong experience with serverless architectures, particularly AWS Lambda, Google Cloud Functions, or Azure Functions.
• Strong expertise in performance monitoring tools like AWS CloudWatch, Lambda Insights, Datadog, New Relic, or similar for serverless environments.
• Strong understanding of performance considerations in serverless applications, including cold starts, execution time, concurrency, and resource utilization.
• Experience troubleshooting performance issues in serverless systems, including resource allocation and scaling challenges.
• Proficiency in scripting and automation using languages like Python, Java, or similar.
• Good understanding of cloud infrastructure, particularly AWS, and its performance considerations.
• Experience integrating performance testing into CI/CD pipelines.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently as well as collaboratively in a fast-paced environment.
• Experience with load testing serverless applications at scale.
• Knowledge of performance tuning for serverless databases (e.g., DynamoDB, Aurora Serverless).
• Good to have familiarity with containerized serverless architectures (e.g., AWS Fargate).
• Exposure to chaos engineering practices for serverless applications.
• Experience with API performance testing in serverless environments.

• 5+ years of experience in performance testing and engineering
• 4+ years of experience with performance testing tools.
• 4+ years of experience using performance monitoring tools.
• 2+ years of experience in serverless performance monitoring.
• 4+ years of experience identifying and optimizing performance bottlenecks.
• 4+ years of experience with scripting or programming languages.
• 4+ years of experience with cloud-based infrastructure (preferably AWS).
• 2+ years of experience integrating performance tests into CI/CD pipelines.
• 2+ years of experience in performance testing for microservices-based systems.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.