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Performance Testing Jobs in Redmond, WA (NOW HIRING)

.NET Dev + Azure Engineer

Bellevue, WA · On-site

$59.50 - $81.50/hr

Performance Testing; PL/SQL; Programming Techniques and Concepts; Testing Concepts; Process and Methodology; Windows Powershell Keyword: Skills: Digital : Python~Windows Powershell~PL/SQL~Core .NET ...

.Net Developer

Seattle, WA · On-site

$55 - $72.50/hr

Technical expertise includes Microsoft Technologies(including VSO), Automation Testing for Web Service and Web applications using Selenium, Performance Testing, Load testing. Additional Information ...

... testing/execution Strong aptitude towards performance investigation, troubleshooting, sharing reports/insights Experience as consultant or working in a client-facing role Experience in VSTS / C# ...

Selenium Automation Tester

Bellevue, WA · On-site

$52 - $68.50/hr

... performance testing experience • 3+ yrs experience as a Software Quality Assurance Tester • 3+ yrs experience in creating test plans and test cases from technical requirements • Technical ...

Develop and maintain performance regression analysis testing automation * Design and maintain performance regression test pipelines for HPC workloads * Debug and Tune fabric-level performance to ...

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

Develop and maintain performance regression analysis testing automation * Design and maintain performance regression test pipelines for HPC workloads * Debug and Tune fabric-level performance to ...

Execute and evaluate motion performance testing on actuators, robotic arms, and multi-axis robotic systems. * Operate and validate systems across position, velocity, torque/force, and impedance ...

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Performance Testing information

See Redmond, WA salary details

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$53

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How much do performance testing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for performance testing in Redmond, WA is $53.25, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $62.74 per hour, depending on experience, location, and employer.

What is the difference between Performance Testing vs Software Test Engineer?

AspectPerformance TestingSoftware Test Engineer
Primary FocusEvaluating system speed, responsiveness, and stability under loadEnsuring overall software quality through various testing types
Required SkillsPerformance testing tools, scripting, load generationManual and automated testing, test case design, defect tracking
Work EnvironmentTesting labs, performance testing tools, scripting environmentsDevelopment and testing environments, diverse testing tools
CertificationsISTQB, performance testing certificationsISTQB, software testing certifications

Performance Testing specialists focus on assessing system performance metrics like speed and stability, often using specialized tools. Software Test Engineers have a broader role, covering various testing types to ensure overall software quality. While both roles require testing knowledge and certifications like ISTQB, their core responsibilities and tools differ significantly.

What is performance testing?

Performance testing is a type of software testing that evaluates how well an application performs under various conditions, particularly in terms of responsiveness, stability, scalability, and speed. It helps identify bottlenecks, ensure the system can handle expected user loads, and verifies that performance requirements are met. Common types of performance testing include load testing, stress testing, and endurance testing. This process is crucial for delivering reliable applications and a positive user experience.

What are the key skills and qualifications needed to thrive as a Performance Tester, and why are they important?

To thrive as a Performance Tester, you need a strong understanding of software testing principles, performance metrics, and experience with scripting languages, typically supported by a degree in computer science or a related field. Proficiency with tools such as JMeter, LoadRunner, or Gatling, as well as familiarity with CI/CD systems and relevant certifications, is essential. Analytical thinking, problem-solving abilities, and effective communication help you identify bottlenecks and clearly convey findings to development teams. These skills ensure the reliability, scalability, and efficiency of applications in real-world environments.

What are some common challenges faced by performance testers during large-scale application testing, and how can they be addressed?

Performance testers often encounter challenges such as simulating realistic user loads, identifying bottlenecks in complex systems, and interpreting large volumes of test data. Addressing these challenges typically involves using advanced performance testing tools, collaborating closely with development and operations teams, and implementing robust monitoring solutions. Clear communication and thorough documentation also help ensure issues are identified and resolved efficiently, leading to more reliable application performance.
Technical Program Manager - Performance & Benchmarking

Technical Program Manager - Performance & Benchmarking

CoreWeave

Bellevue, WA • On-site

$144K - $187K/yr

Full-time

Posted 15 days ago


Job description

Job Summary:
CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for AI innovation. The Technical Program Manager will lead cross-functional programs focused on performance and benchmarking within the AI/ML Platform Services organization, ensuring infrastructure readiness for demanding AI workloads.
Responsibilities:
• Drive end-to-end program execution for performance and benchmarking initiatives spanning infrastructure validation, performance testing, benchmark execution, observability, and launch readiness
• Partner with engineering and infrastructure teams to deliver programs that verify new hardware platforms, clusters, and software environments meet CoreWeave standards for performance and stability
• Lead cross-functional efforts to operationalize benchmarking frameworks that measure model performance, runtime efficiency, GPU utilization, and workload reliability across environments
• Coordinate dependencies across platform engineering, infrastructure, capacity, product, and go-to-market teams to ensure performance findings are translated into roadmap priorities, customer readiness, and external proof points
• Build program mechanisms for release readiness, benchmark planning, risk management, issue escalation, and post-launch review for performance-sensitive infrastructure initiatives
• Establish dashboards, operating cadences, and success metrics to improve performance visibility, infrastructure validation coverage, benchmark repeatability, and time-to-readiness for new platforms
• Help drive prioritization across performance bottlenecks, test gaps, and benchmark requests by aligning stakeholders on goals, tradeoffs, and measurable outcomes
• Create clarity across ambiguous technical programs by aligning teams around performance goals, validation criteria, and execution milestones
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 5+ years of technical program management experience in cloud infrastructure, distributed systems, high-performance computing, or AI/ML platforms
• Experience leading large-scale cross-functional programs involving performance engineering, benchmarking, validation systems, or infrastructure readiness
• Strong technical fluency in distributed systems, GPU or accelerator-based infrastructure, workload performance measurement, and large-scale infrastructure operations
• Demonstrated ability to define program metrics and drive measurable outcomes in performance, reliability, scale, or operational maturity
• Excellent communication skills, with experience influencing engineering, product, and infrastructure stakeholders
• Experience with AI/ML benchmarking, performance analysis, or infrastructure validation for training and inference workloads
• Familiarity with GPU cluster architecture, workload observability, hardware bring-up, and performance bottleneck analysis
• Understanding of benchmarking methodologies, reproducibility, test coverage, and the tradeoffs between performance, stability, utilization, and customer readiness
• Experience building launch processes, release governance, dependency management, and operational review mechanisms in fast-scaling environments
• Familiarity with translating technical performance data into actionable decisions for product, customer, or go-to-market audiences
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.