Sr. Software Performance Engineer

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center3-4 days per week (T-W-Th) The Role 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. What You’ll Do 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. Your Skills & Abilities (Required Qualifications) 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). What Will Give You A Competitive Edge (Preferred Qualifications) 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.

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Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future. GM may support relocation for this position. #J-18808-Ljbffr General Motors