Senior Engineer - Performance Engineering

Madrona Venture Labs; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Madrona Venture Labs in Bengaluru seeks a Senior Performance Engineer to ensure the scalability, reliability, and cost efficiency of our cloud management platform, with a focus on serverless applications.

You will design and execute performance testing strategies, analyze bottlenecks, and collaborate with development and SRE teams to integrate testing into CI/CD pipelines, while monitoring with AWS CloudWatch, Datadog, and similar tools.

Qualifications

• 5+ years of experience in performance testing.
• 4+ years with performance testing tools (JMeter, Gatling, Locust).
• 4+ years with performance monitoring tools (CloudWatch, Datadog, New Relic).
• 4+ years identifying and optimizing performance bottlenecks.
• Experience with scripting in Python or Java.
• Strong knowledge of AWS and serverless services.
• Experience integrating performance tests into CI/CD pipelines.

Responsibilities

• Design performance testing strategies for cloud management platforms, with focus on serverless apps.
• Develop and maintain test plans, scripts, and scenarios.
• Monitor and analyze serverless performance in AWS/Lambda, Azure Functions, GCF.
• Identify bottlenecks and optimize for cold starts, duration, concurrency, and resource use.
• Collaborate with development and SRE to integrate tests into CI/CD pipelines.
• Create dashboards and metrics for serverless performance.

Skills

Performance testing

Serverless architectures

Cloud monitoring

CI/CD integration

Automation scripting

Analytical thinking

Effective communication

Education

Bachelor's or Master's in Computer Science or related field

Tools

JMeter

Gatling

Locust

Serverless testing tools

AWS CloudWatch

Lambda Insights

Datadog

New Relic

Job description

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 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 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.