Staff QA Automation Engineer (Performance)

Job Summary

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.

Reports To

Director, NOC Delivery Automation

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 integrating automation into deployment pipelines
• Excellent communication skills, able to present quality strategy to both engineers and executive stakeholders

Location

Bangalore, India