Performance Engineering Specialist Lead Engineer

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Performance Engineering Specialist Lead Engineer
Location: San Jose CA
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Summary

We are seeking an experienced Performance Engineering Specialist Lead Engineer with strong expertise in application performance engineering system scalability and load testing. This role involves designing and executing performance strategies identifying performance bottlenecks optimizing system behavior and collaborating with cross-functional teams to ensure high-performing and scalable applications. The ideal candidate should have a deep understanding of performance tools distributed architectures cloud environments and modern application frameworks.

Key Responsibilities

Lead performance engineering strategy planning and execution across software development lifecycle.
Conduct performance benchmarking load testing stress testing endurance testing and scalability testing.
Analyze system performance metrics and identify performance bottlenecks in applications APIs databases infrastructure and networks.
Work closely with architects developers DevOps and product teams to optimize performance issues and recommend solutions.
Develop performance test scripts and frameworks using tools such as JMeter LoadRunner Gatling or similar.
Implement performance monitoring and observability best practices using platforms like Dynatrace AppDynamics Grafana New Relic or Splunk.
Build automated performance test pipelines integrated into CI/CD environments.
Evaluate system architecture and recommend optimizations related to cloud infrastructure caching memory management database tuning and concurrency.
Prepare detailed performance reports with actionable recommendations and communicate findings to leadership and technical stakeholders.
Drive capacity planning scalability modeling and production readiness validation.
Mentor and guide engineering teams on performance best practices.

Required Qualifications

Minimum 12 years of experience in performance engineering performance testing and system optimization.
Strong hands-on experience with performance testing tools such as JMeter LoadRunner Gatling or k6.
Experience with APM and monitoring tools including Dynatrace AppDynamics New Relic Datadog Splunk or similar.
Solid understanding of microservices architecture distributed systems cloud platforms (AWS Azure or GCP) and Kubernetes.
Strong programming/scripting knowledge in Java Python Shell or similar technologies.
Proficiency in performance analysis of web applications APIs databases (SQL/NoSQL) and infrastructure.
Experience integrating performance testing into automated CI/CD pipelines (Jenkins GitHub Actions GitLab CI).
Strong understanding of protocols such as HTTP REST gRPC messaging queues and caching technologies.
Ability to interpret profiling data thread dumps heap dumps and analyze GC behavior.
Excellent analytical problem-solving interpersonal and communication skills.

Preferred Skills

Experience with cloud-native observability frameworks and distributed tracing tools such as OpenTelemetry or Jaeger.
Experience with high-scale systems supporting millions of transactions or users.
Knowledge of SRE practices and performance budgeting principles.
Familiarity with containerization and orchestration technologies (Docker Kubernetes).
Background in performance engineering for large-scale enterprise applications in finance retail or telecom.
Experience working in Agile environments and SAFe methodologies.

Job Title: Performance Engineering Specialist Lead Engineer Location: San Jose CA Experience: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Summary We are seeking an experienced Performance Engineering Specialist Lead Engineer with strong expertise in application perform...

Job Title: Performance Engineering Specialist Lead Engineer
Location: San Jose CA
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Summary

Key Responsibilities

Lead performance engineering strategy planning and execution across software development lifecycle.
Conduct performance benchmarking load testing stress testing endurance testing and scalability testing.
Analyze system performance metrics and identify performance bottlenecks in applications APIs databases infrastructure and networks.
Work closely with architects developers DevOps and product teams to optimize performance issues and recommend solutions.
Develop performance test scripts and frameworks using tools such as JMeter LoadRunner Gatling or similar.
Implement performance monitoring and observability best practices using platforms like Dynatrace AppDynamics Grafana New Relic or Splunk.
Build automated performance test pipelines integrated into CI/CD environments.
Evaluate system architecture and recommend optimizations related to cloud infrastructure caching memory management database tuning and concurrency.
Prepare detailed performance reports with actionable recommendations and communicate findings to leadership and technical stakeholders.
Drive capacity planning scalability modeling and production readiness validation.
Mentor and guide engineering teams on performance best practices.

Required Qualifications

Minimum 12 years of experience in performance engineering performance testing and system optimization.
Strong hands-on experience with performance testing tools such as JMeter LoadRunner Gatling or k6.
Experience with APM and monitoring tools including Dynatrace AppDynamics New Relic Datadog Splunk or similar.
Solid understanding of microservices architecture distributed systems cloud platforms (AWS Azure or GCP) and Kubernetes.
Strong programming/scripting knowledge in Java Python Shell or similar technologies.
Proficiency in performance analysis of web applications APIs databases (SQL/NoSQL) and infrastructure.
Experience integrating performance testing into automated CI/CD pipelines (Jenkins GitHub Actions GitLab CI).
Strong understanding of protocols such as HTTP REST gRPC messaging queues and caching technologies.
Ability to interpret profiling data thread dumps heap dumps and analyze GC behavior.
Excellent analytical problem-solving interpersonal and communication skills.

Preferred Skills

Experience with cloud-native observability frameworks and distributed tracing tools such as OpenTelemetry or Jaeger.
Experience with high-scale systems supporting millions of transactions or users.
Knowledge of SRE practices and performance budgeting principles.
Familiarity with containerization and orchestration technologies (Docker Kubernetes).
Background in performance engineering for large-scale enterprise applications in finance retail or telecom.
Experience working in Agile environments and SAFe methodologies.