Staff QA Automation Engineer (Performance)

About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. Reports To Director, NOC Delivery & Automation What You will be Doing We are looking for a Staff Test Automation Engineer to lead quality engineering across two high-impact initiatives: our Voice AI, Monitoring & Analytics Platform. In this role you will architect and own the end-to-end test automation strategy, drive quality culture across cross-functional teams, and mentor engineers on best practices. You will work closely with product engineering, platform, and data teams to embed quality upstream, shifting left from reactive bug-finding to proactive prevention at the architecture level. What You Will Bring to ChargePoint Design and own the overall test automation framework and strategy across both Voice AI and Monitoring & Analytics platforms Define test pyramid principles - unit, integration, contract, E2E and enforce them across repositories Lead architecture decisions for automation tooling, CI/CD test pipelines, and observability of test health Establish standards for test data management, environment parity, and flakiness elimination Own the performance testing practice - load, stress, soak, and spike testing for backend services and APIs Define performance baselines, SLOs, and regression gates integrated into CI/CD Instrument test runs with profiling and APM tooling to identify throughput bottlenecks and latency regressions Build scalable performance test harnesses using Locust, k6, or equivalent frameworks Collaboration & Communication: Act as a technical lead and quality champion, influencing engineering culture, coding standards, and test coverage expectations Mentor mid-level and senior engineers on automation patterns, code quality, and testing strategy Partner with product managers to define acceptance criteria and quality gates at the story level Drive root cause analysis on escaped defects and build preventive test coverage Requirements 8+ years of experience in software quality engineering with a strong automation focus Proven track record at Staff level, owning QE strategy for complex distributed systems Expert-level Python clean, testable, production-grade automation code Hands-on experience with Playwright for E2E browser automation including multi-tab, auth flows, and visual testing Deep familiarity with FastAPI and Django - understanding of service internals for effective API-level testing Strong experience designing and executing performance test programs (load, stress, soak) at scale Experience testing cloud-native platforms on GCP, AWS, or Azure, Kubernetes workloads, managed services, event pipelines Familiarity with observability stacks: Prometheus, Grafana, OpenTelemetry, or similar Solid understanding of CI/CD principles and integrat…