Performance Quality Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Performance Quality Engineer based in United States. This role is designed for an engineer passionate about building reliable, scalable, and high-performing software platforms. You will own performance observability initiatives, define key metrics, and help teams make data-driven decisions about system behavior under real-world conditions. Working closely with engineering, platform, security, and product teams, you will identify risks before they impact customers. You will design performance testing strategies across cloud-based SaaS applications and contribute to improving engineering standards. This position offers the opportunity to influence quality practices, optimize complex systems, and shape how performance is measured across the organization. You will join a remote-first environment that values innovation, collaboration, continuous learning, and technical excellence. Accountabilities In this role, you will take ownership of performance engineering initiatives by designing, analyzing, and improving how systems behave under load. You will collaborate with cross-functional teams to identify bottlenecks, establish performance standards, and ensure scalable solutions are delivered. Design and develop performance test suites for multiple product teams supporting a microservices-based SaaS platform hosted on AWS.Operate and maintain production-like environments used for performance analysis, diagnostics, and regression testing.Analyze application and infrastructure logs to identify performance issues and support root-cause investigations.Define, monitor, and report performance KPIs, including response times, throughput, error rates, and resource utilization.Deliver trend analysis, capacity forecasts, and actionable recommendations to engineering leaders and product stakeholders.Identify potential scalability risks through usage and performance data before they affect customers.Collaborate with Platform Engineering, DevX, SDET, Security QE, and Product teams to validate and prioritize performance improvements.Partner with security teams to incorporate security-informed scenarios into performance testing, including stress testing and resource utilization analysis.Establish performance testing standards within CI/CD pipelines by defining quality gates, thresholds, and regression detection processes.Create documentation, runbooks, and best practices to strengthen performance engineering capabilities across the organization. Requirements The ideal candidate brings strong experience in performance engineering, cloud environments, and data-driven system analysis. You should be comfortable working across engineering teams, translating technical findings into business impact, and continuously improving platform reliability. 3+ years of hands-on experience in performance testing and analysis for microservices-based, cloud-hosted SaaS platforms.Strong analytical skills with the ability to identify root causes behind complex performance issues.Experience with statistical analysis, including trend modeling, interpolation, extrapolation, and capacity forecasting.Working knowledge of AWS services such as EC2, RDS, S3, ECS/EKS, along with Docker and Kubernetes.Experience using performance testing tools such as k6, Gatling, Locust, JMeter, or similar technologies.Familiarity with observability platforms including Prometheus, Grafana, Datadog, and log aggregation tools such as ELK Stack or CloudWatch.Proficiency in Python or another scripting language for test automation, data analysis, and tooling improvements.Understanding of CI/CD workflows and experience integrating performance validation into development pipelines.Ability to collaborate effectively in a remote-first, asynchronous environment across multiple time zones.Experience using AI tools and technologies to improve workflows, decision-making, and engineering productivity.Strong communication skills with the ability to present technical insights clearly to engineering and product stakeholders. Benefits Competitive annual salary range of $120,000-$165,000, depending on experience, skills, and location.Flexible remote-first work environment with opportunities to collaborate across distributed teams.Medical, dental, and vision insurance plans, including a company-paid HDHP option for employees.Competitive financial benefits, including annual bonuses, equity opportunities, and retirement plans with company matching.Flexible paid time off, paid holidays, and parental leave programs.Wellness benefits including wellness stipends, mental health support, and nutrition coaching.Professional development opportunities through learning programs, leadership initiatives, and dedicated development funds.Opportunities to participate in charitable programs, volunteer initiatives, and community-focused activities.Virtual and in-person team-building events, recognition programs, and employee appreciation initiatives.A collaborative culture focused on continuous learning, innovation, and meaningful impact. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.