Staff Quality Engineer

What You’ll Do:

• Define and own quality strategies, standards, and practices for complex product and platform initiatives.
• Drive test architecture and tooling — from automated frameworks to CI/CD quality gates.
• Lead cross-functional quality initiatives that span multiple engineering teams.
• Act as a technical mentor to other QEs and developers around quality best practices.
• Collaborate closely with Dev, PM, and UX to shift quality left and catch issues early.
• Design and implement robust automation for UI, API, and backend systems.
• Design and implement performance, load, stress, soak, and scalability tests for backend services built on Node.js and MongoDB.
• Define and automate Non-Functional Requirements (NFR) validation in CI/CD pipelines.
• Build and extend performance testing frameworks using tools like k6, Artillery, Gatling, JMeter, or custom Node.js scripts.
• Conduct system profiling and analyze results using tools such as Coralogix, Prometheus, Grafana, etc.
• Establish performance SLAs and ensure services meet them in production-like environments.
• Contribute to overall test strategy, especially where performance and resilience intersect with functional quality.
• Analyze production issues and work with stakeholders to improve monitoring, observability, and incident prevention.

What You’ll Bring:

• 8+ years in Software Quality Engineering, including experience leading quality for major products or platforms.
• Strong coding skills in JavaScript/TypeScript or Java — with a deep understanding of modern test automation frameworks (e.g., Cypress, Playwright, Selenium, REST-assured).
• Deep knowledge of software testing methodologies, performance/load testing, and systems-level thinking.
• Track record of influencing engineering culture and product quality through leadership and collaboration.
• Comfortable working in a hybrid setup with the ability to meet onsite with engineering leadership in the Bay Area.
• Hands on experience with tools like Artillery, JMeter, Gatling
• Hands-on experience with MongoDB performance tuning and profiling.
• Deep knowledge of HTTP, REST, microservices architecture, and event-driven systems.
• Solid understanding of system resource utilization (CPU, memory, disk, network) under load.
• Experience integrating performance tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, Harness).
• Excellent communication and stakeholder collaboration.

Nice to Haves:

• Experience with containerized applications (Docker, Kubernetes).
• Familiarity with cloud-native architectures (AWS, containers, microservices)
• Experience working in fintech, accounting, or SaaS B2B domains.
• Exposure to chaos engineering or failure testing.
• Knowledge of distributed tracing and profiling tools (e.g., Jaeger, OpenTelemetry).
• Knowledge of security and compliance testing practices.