- 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.
- 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.
Skills Required
- Hands-on experience with performance testing tools
- Experience with serverless architectures
- Experience with performance monitoring tools
- Experience troubleshooting performance issues
- Proficiency in scripting and automation
- Experience integrating performance testing into CI/CD pipelines
- 5+ years of experience in performance testing and engineering
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
MontyCloud Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MontyCloud and has not been reviewed or approved by MontyCloud.
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Fair & Transparent Compensation — Feedback suggests compensation and benefits are viewed favorably overall, indicating competitive pay positioning for many roles.
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Healthcare Strength — Job postings indicate medical, dental, and vision coverage as part of a comprehensive package in the U.S.
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Equity Value & Accessibility — Listings highlight equity participation as a standard component, signaling accessible ownership opportunities for employees.
MontyCloud Insights
What We Do
MontyCloud is a Seattle, WA based intelligent Cloud Management Platform Company. Our customers use MontyCloud DAY2™ to instantly close the cloud skills gap, simplify CloudOps, and reduce the total cost of cloud operations up to 70%, all in just a few clicks. By leveraging the AWS public cloud, AI, and ML, DAY2 ™ simplifies provisioning, security, compliance, cost optimization, and routine operations. DAY2™’s automation first, No-Code approach helps customers immediately derive deep insights and deliver intelligent Cloud Operations in just a few minutes. You can try the platform for free at https://MontyCloud.com

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