We are seeking an experienced Performance Engineering Manager I to act as a subject matter expert within Performance Optimization Management. You will work at various long-term unanticipated worksites throughout the U.S. Responsibilities Participate in pre-sales and consulting activities, leveraging domain-specific knowledge to provide technical expertise in solution design, requirements that align with client needs Lead and support offshore/onsite performance analysts Create high-quality test documentation Coordinate smaller-scale projects and/or initiatives, ensuring all project stages are managed effectively Identify potential risks early in the project lifecycle and develop mitigation strategies to minimize impact Collect and analyze feedback from completed projects to identify areas of improvement and apply lessons learned to future projects Lead project audits and contribute to technical proposal creation Requirements Master's degree or foreign equivalent in Computer Engineering, Software Engineering, Electronic Engineering, Electrical Engineering, Computer Science, Computer Information Systems, Information Technology, Management Information Systems, Telecommunications Engineering, Electronics, Mathematics, Physics, Statistics, or closely related discipline; plus 2 years of employment experience in the job offered (Performance Engineering Manager), Chief Performance Analyst, Software Testing Engineer, Testing Architect, Quality Assurance Engineer, or closely related occupation Testing the performance of software programs by using one of the following software testing tools: Gatling, JMeter, or LoadRunner Create and customize manual test cases from requirements and technical documentation using at least one of the following web application development-related programming languages: Java, JavaScript, Python, or .NET Web and database development systems and frameworks to develop test cases for software SDLC framework, performance optimization management, performance test planning At least one of the following cloud-based database services: AWS, Azure, or Google Cloud Relational databases or NoSQL databases At least one of the following cloud service models: Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), or Function as a Service (FaaS)