Cloud Performance Architect

5 days ago

Bengaluru, Karnataka, India beBeePerformance Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Description:

We are seeking a highly skilled Cloud Performance Architect to join our team. The ideal candidate will be responsible for designing and implementing comprehensive performance strategies for cloud management platforms.

The successful candidate will focus on ensuring the scalability, reliability, and performance of cloud infrastructure, including serverless architectures.

Key Responsibilities:

  • Design and implement 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.

Requirements:

  • Mandatory Skills:
    • 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).
  • Desirable Skills:
    • 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.

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