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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.