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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, analyzing performance bottlenecks, and collaborating with cross-functional teams to deliver high-performing solutions. 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 and Requirements 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. - Robust 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.