Software Engineer in Test – Performance Testing (Remote - US)

Nextech Systems is a leader in specialty healthcare technology solutions. They are seeking a Software Engineer in Test II – Performance Testing who will design and execute automated performance testing solutions, analyze system performance data, and collaborate with cross-functional teams to ensure high-performing software.

Responsibilities:

• Design, develop, and execute scalable performance test strategies to validate the reliability, scalability, and responsiveness of enterprise applications and distributed systems
• Develop and maintain automated performance test scripts using k6 to simulate real-world user workloads and identify system bottlenecks
• Analyze application, database, and infrastructure performance metrics to identify performance issues and provide recommendations for optimization
• Design and maintain reusable performance testing frameworks, utilities, dashboards, and reporting solutions
• Build and maintain performance dashboards and automated reports using InfluxDB, Grafana, and Flux queries
• Collaborate with Software Engineers, Product Managers, DevOps, and Infrastructure teams to establish performance requirements and integrate performance testing into the software development lifecycle
• Integrate performance testing into Azure DevOps CI/CD pipelines to enable continuous performance validation
• Execute load, stress, endurance, spike, scalability, and capacity testing across cloud-native and distributed application environments
• Develop SQL queries to support test validation, performance analysis, and database performance investigations
• Produce performance analysis reports, communicate findings, and partner with development teams to validate performance improvements
• Support performance testing in containerized and distributed environments using Docker and Kubernetes where applicable
• Promote performance engineering best practices, standards, and continuous improvement initiatives
• Define, monitor, and analyze key performance metrics, including latency, throughput, and system resource utilization, using observability platforms such as InfluxDB, Prometheus, Grafana, and similar tools

Requirements:

• Bachelor's degree in Computer Science, MIS, Engineering, or a related technical field
• 5+ years of Software Development, Software Engineer in Test (SET/SDET), or Performance Engineering experience
• Strong hands-on experience with k6 for performance testing, including test scripting, workload modeling, optimization, and reporting
• Strong SQL querying skills, preferably with Microsoft SQL Server (MSSQL)
• Experience with InfluxDB and Grafana, including Flux queries, dashboard development, templating, alerting, and automated reporting
• Experience integrating performance testing into Azure DevOps CI/CD pipelines
• Strong understanding of performance testing methodologies, including load, stress, endurance, spike, scalability, and capacity testing
• Experience testing REST APIs, distributed systems, and cloud-native applications
• Familiarity with application performance monitoring and observability tools
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent organizational, communication, and collaboration skills in Agile development environments
• Strong analytical and problem-solving skills, with the ability to identify workflow gaps, performance bottlenecks, and complex edge cases
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, and ChatGPT to improve engineering productivity and quality
• Hands-on experience with performance profiling and debugging tools, including Chrome DevTools
• Experience with Docker and Kubernetes for scaling performance test runners and environments
• Experience designing and executing distributed performance testing environments
• Experience with Azure, AWS, or Google Cloud Platform
• Experience with microservices, event-driven architectures, and distributed systems
• Knowledge of healthcare systems, HIPAA compliance, and regulated enterprise environments
• Experience establishing performance engineering standards, metrics, and reporting practices
• Proficiency with Application Performance Monitoring (APM) and log analysis tools, including Datadog, Azure Log Analytics, Dynatrace, and New Relic