Staff Quality Assurance Engineer

Accountabilities

• Own the automated testing strategy and frameworks across the UI product, initially focusing on high-risk resident onboarding flows before expanding coverage to additional product areas.
• Build critical-user-flow coverage into engineering delivery pipelines so automated testing is owned and maintained by development teams.
• Establish a risk-weighted registry of critical flows and create live dashboards measuring test coverage, screen coverage, and relevant production traffic.
• Develop and promote an AI-first approach to quality engineering, using Claude, MCP-based tooling, APIs, CLIs, and direct data access to automate complex and repetitive testing scenarios.
• Modernize integration testing by replacing manual partner verification with API-driven automation and addressing environment and testability gaps.
• Coach engineers, product managers, and stakeholders on quality practices, embedding testing into product design and code review rather than relying on downstream manual validation.
• Lead the Quality Enablement practice by identifying and prioritizing tooling, infrastructure, and system-testability improvements across engineering teams.
• Establish durable quality guardrails, including CI coverage targets, deployment-gate health monitoring, flaky-test reduction, and escaped-defect tracking.
• Partner across engineering, platform, product, and leadership teams to improve testing capabilities and make quality outcomes measurable.
• Use data and production signals to identify quality trends, reduce defects reaching production, and continuously improve engineering reliability.

Requirements

• Staff-level engineering experience with a strong track record of designing, coding, and owning automated testing frameworks across unit, integration, contract, browser, and end-to-end testing layers.
• Quality engineering must be a core area of expertise and professional focus, with demonstrated experience building sophisticated automated testing systems rather than primarily performing manual QA.
• Strong programming skills with AWS and Node/TypeScript, plus the ability to work comfortably across distributed, service-oriented systems and service boundaries.
• Experience with modern testing technologies such as Jest, Playwright, contract testing, API testing, and automated integration testing.
• Strong interest and practical experience using AI to improve engineering workflows, with enthusiasm for building agent workflows, skills, and MCP-based tooling.
• Exceptional communication and coaching abilities, with the ability to influence engineers, product managers, technical leaders, and non-technical stakeholders across multiple teams.
• Demonstrated autonomy and ownership, including the ability to identify ambiguous quality problems, establish priorities, and deliver measurable improvements with limited process overhead.
• Able to work a consistent 8:00 AM–5:00 PM EST schedule.
• Comfortable working in a remote-first environment with reliable high-speed internet and a professional, distraction-free workspace.

Benefits

• Base salary: $180,000–$200,000 annually.
• Equity compensation.
• Comprehensive medical, dental, vision, and life insurance.
• 401(k) plan.
• Flexible, open Paid Time Off and sick days.
• Remote-first work environment from anywhere in the United States.
• Paid parental leave.
• Opportunities to help shape a fast-growing technology business and establish a quality engineering practice.
• Professional growth and development opportunities.
• Bi-annual in-person company meetings, with business travel expenses reimbursed according to company guidelines.
• Collaborative culture focused on continuous improvement, ownership, innovation, and meaningful customer outcomes.