Senior Performance Engineer
The Senior Performance Engineer designs automated performance testing strategies for distributed cloud applications, analyzes system bottlenecks, and drives scalability and reliability improvements. The role requires 7+ years of performance or SRE experience, cloud expertise, programming proficiency, and observability knowledge.
About the job
Responsibilities
- Design, develop, and execute performance, load, stress, endurance, and scalability testing strategies for distributed cloud applications.
- Define performance goals, SLAs, and success criteria for critical platform services and customer-facing applications.
- Build and maintain automated performance testing frameworks and pipelines integrated with CI/CD workflows.
- Analyze application, database, API, and infrastructure performance metrics to identify bottlenecks and recommend optimizations.
- Collaborate with Software Engineers, Architects, and SRE teams to improve system scalability, resiliency, and efficiency.
- Conduct capacity planning exercises and provide data-driven recommendations for infrastructure scaling.
- Create performance dashboards, monitoring solutions, and reports to provide visibility into system health and trends.
- Validate performance impacts of new features, architecture changes, and production releases.
- Lead root cause analysis for performance-related incidents and proactively identify areas for improvement.
- Mentor engineers and establish performance engineering best practices across the organization.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in Performance Engineering, Performance Testing, or Site Reliability Engineering.
- Strong hands-on experience with performance testing tools such as JMeter, Gatling, LoadRunner, k6, and Locust.
- Experience testing high-scale SaaS platforms, web applications, APIs, and microservices architectures.
- Strong understanding of distributed systems, cloud-native architectures, performance tuning methodologies, and scalability patterns.
- Experience working with cloud platforms such as AWS.
- Proficiency in Java, Python, JavaScript, or Go.
- Strong knowledge of SQL and database performance tuning concepts.
- Experience with monitoring and observability tools such as Datadog, Grafana, Prometheus, New Relic, or Splunk.
- Experience integrating performance testing into CI/CD pipelines.
- Excellent analytical, troubleshooting, and communication skills.
Skills
Jmeter, Gatling, Loadrunner, K6, Locust, AWS, Java, Python, JavaScript, Go, SQL, Datadog, Grafana, Prometheus, CI/CD
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