Senior Performance Engineer

MontyCloud; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

MontyCloud is seeking a Senior Performance Engineer to ensure the scalability, reliability, and performance of our cloud management platform, including serverless architectures. You will design and execute performance testing strategies, analyze bottlenecks, and collaborate with cross-functional teams to deliver high-performing solutions.

The role requires hands-on experience with JMeter, Gatling or Locust, strong serverless expertise (AWS Lambda, Azure Functions), and deep knowledge of

Qualifications

• Hands-on experience with performance testing tools (JMeter, Gatling, Locust).
• Strong experience with serverless architectures (AWS Lambda, Azure Functions, Google Cloud Functions).
• Expertise with cloud monitoring tools (CloudWatch, Datadog, New Relic).
• Understanding of serverless performance considerations (cold starts, concurrency, resource utilization).
• Experience integrating performance testing into CI/CD pipelines.

Responsibilities

• Design and implement performance testing strategies for cloud platforms, including serverless apps.
• Develop and maintain performance test plans, scripts, and scenarios.
• Monitor serverless application performance across AWS, Azure, and Google Cloud.
• Identify and troubleshoot bottlenecks in serverless environments.
• Collaborate with development/SRE teams to integrate tests into CI/CD.

Skills

Performance testing

Serverless architectures

Python

Java

CI/CD

Cloud monitoring

AWS Lambda

Datadog

New Relic

Education

Bachelor's or Master's in CS/Engineering

Tools

JMeter

Gatling

Locust

Job description

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.
• 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 considerat
• ions.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.