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We're looking for a Staff Quality Engineer who will play a pivotal role in defining and driving quality across the engineering organization. You’ll partner closely with developers, product managers, and infrastructure teams to ensure that every release is reliable, performant, and of the highest standard. This is a hands-on technical leadership role with broad impact — ideal for someone who is local to the Bay Area and excited to collaborate in person with our R&D and leadership teams.
Job Responsibility:
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
Requirements:
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
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