Senior Performance Engineer

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.

Desired Skills :

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.

Experience :

- 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.

Education :

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