Senior Performance Engineer

Job Overview

We are seeking a skilled and experienced Senior Performance Engineer to join our team. The Senior

Performance Engineer will focus on ensuring the scalability, reliability, and performance of our cloud

management platform, including serverless architectures. This role involves designing and executing

performance testing strategies, analysing performance bottlenecks, and collaborating with cross-

functional teams to deliver high-performing solutions.

Experience Required:

5+ Years

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.

Requirements

• Minimum of 5 years of experience in performance testing and engineering.
• 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.