Senior Cloud Optimization Specialist

2 days ago

Bengaluru, Karnataka, India beBeePerformance Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Cloud Optimization Engineer Role Overview

We are seeking a highly skilled and experienced Cloud Optimization Engineer to join our organization. The Cloud Optimization Engineer will focus on ensuring the scalability, reliability, and performance of our cloud-based management platform, including serverless architectures.

Key Responsibilities

  • Develop comprehensive cloud optimization strategies for cloud management platforms, with a focus on serverless applications.
  • Create, execute, and maintain cloud optimization test plans, scripts, and scenarios using tools like AWS CLI, Terraform, 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.
  • Collaborate with development and SRE teams to implement and integrate serverless performance testing into CI/CD pipelines.
  • 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 cloud optimization engineering.

Desired Skills

  • MUST-HAVE SKILLS
    • Hands-on experience with cloud optimization tools such as AWS CLI, Terraform, or serverless-specific 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 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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