The Senior Performance Engineer develops performance testing strategies, analyzes serverless application performance, and optimizes performance for cloud management platforms.
Role 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, 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
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.
Top Skills
Aws Cloudwatch
Aws Lambda
Azure Functions
Datadog
Gatling
Google Cloud Functions
Java
Jmeter
Lambda Insights
Locust
New Relic
Python
Similar Jobs
Artificial Intelligence • Hardware • Automation • Manufacturing
The Senior Applications Engineer supports customers in power management design, resolves technical challenges, and collaborates on application development. Responsibilities include providing technical support, developing application collateral, and conducting training for field teams.
Top Skills:
Dc-Dc ConvertersEmi/Emc MitigationLdo RegulatorsPcb LayoutPower Management Ics
Cloud • Software
The Senior QA Engineer will design and execute performance tests for systems, analyze results, collaborate with teams on performance issues, and integrate testing into CI/CD pipelines.
Top Skills:
AWSDatadogDockerGatlingGCPGithub ActionsGrafanaGroovyJavaScriptJenkinsJmeterK6KubernetesLocustNew RelicPython
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop test plans, simulation environments, and automation for CPU performance verification. Build and maintain CPU simulator and hardware test infrastructure, analyze CPU/fabric performance, and perform silicon competitive analysis to guide future CPU products.
Top Skills:
ArmCC++PythonSystemverilogVerilogX86
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
