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Sr. Software Performance Engineer

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General Motors

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Location:
United States , Austin, Texas

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We’re seeking a passionate and experienced Senior Performance Engineer in development to own Overall Performance of our systems and solution, leading optimization of software and systems to improve site speed, support scalability, reliability and stability. Analyzing metrics based on access to different monitoring tools and working with the respective engineer development teams and architects to design and implement solutions to improve overall site and systems performance (including but not limited to Web Sites, APIs , Database queries and definition of caching strategies) and lead execution of performance and load tests to validate results and prevent performance degradations. You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be able to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture, applying best practices on Performance Engineering.

Job Responsibility:

  • Own the performance observability for production and lower environments, identifying and acting on concerning trends
  • Develop competency across our complete web technologies stack (client, framework, and services)
  • Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
  • Monitor, assess and analyze the holistic performance of the application with benchmarking tools
  • Identify bottlenecks, lead root cause analysis, collaborate with developers, automate processes and ensure proper tools to ensure systems meet performance requirements from design to deployment
  • Own and enhance performance coverage by consulting with developers to identify areas for improvement and expansion
  • Investigate and diagnose performance issues to identify the root cause of the problems
  • Clearly document performance results and share actionable insights with developers
  • Develop datasets and workloads that accurately represent the Production environment
  • Analyze the CPU utilization, Memory usage, Network Usage, Garbage collection and DB Reports to verify application performance
  • Research and implement best practices, methodologies and tools for performance testing
  • Explore and pitch product ideas and tech initiatives with cross functional teams
  • Drive UI performance optimization and ensure cross-browser compatibility
  • Stay current with emerging technologies and trends and evaluate their potential for adoption
  • Mentor junior team members and contribute to team growth and development

Requirements:

  • Bachelor’s degree in computer science or related field
  • 5+ years of experience in performance engineering and scalability engineering for cloud-hosted applications
  • Strong proficiency with performance tools like K6, JMeter
  • Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace
  • Strong proficiency in scripting languages (ex: Java, JavaScript, Python)
  • Strong technical knowledge of virtualization, storage and networking
  • Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications
  • Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes)

Nice to have:

  • Master’s degree in computer science or related field
  • Hands-on experience with Chaos Engineering tools like Gremlin
  • Hands-on experience with Caching layer performance tuning
  • 5+ years of experience in performance engineering, with a proven track record of optimizing system performance across complex environments
  • Excellent communication and collaboration skills, with the ability to work effectively with developers, product managers, and business stakeholders
  • Deep expertise in database performance tuning, with a focus on optimizing complex SQL queries
  • Strong analytical skills for identifying root causes of performance issues and resolving code-level bottlenecks
  • Hands-on experience with observability and monitoring tools
  • proficiency with Datadog is highly preferred
  • Proficient in a variety of industry-standard performance testing tools such as K6, NeoLoad, BlazeMeter, and LoadRunner

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
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