1 month ago
Base Salary
$175k - $210k/yr
Responsibilities
- Own and evolve quality strategy across frontend, backend, and AI services, including end-to-end coverage, performance scaffolding, and load testing.
- Lead and grow a small QA team, mentor engineers, set standards, and manage at least one direct report while remaining hands-on.
- Design scalable automated end-to-end, integration, regression, and performance testing.
- Build workload models from production usage, establish performance baselines and capacity targets, and validate critical workflows before peak usage.
- Diagnose bottlenecks across test infrastructure, networks, application services, caches, databases, and third-party dependencies.
- Evaluate AI-powered tools for test generation, maintenance, debugging, and coverage.
- Improve CI/CD integration, test observability, failure diagnostics, and pragmatic quality gates.
- Partner with product and engineering on acceptance criteria, edge cases, defect prevention, incident improvements, documentation, and runbooks.
- Perform manual QA when needed, approximately 10–20% of the time.
Requirements
- 8+ years of experience in quality engineering, test automation, or SDET roles, with experience mentoring or leading engineers.
- Experience designing and building quality systems and owning quality for a sophisticated user-facing web platform.
- Hands-on performance and load testing experience with workload modeling and analysis of latency percentiles, throughput, concurrency, and resource saturation.
- Strong experience with Playwright, Cypress, Jest, JUnit, or PyTest and building automated end-to-end suites in CI/CD.
- Strong debugging experience across distributed systems, APIs, database-backed applications, and multi-layer stacks.
- Experience with Next.js and React frontends, Kotlin or Java Spring Boot backends, Python FastAPI AI services, and LangSmith agent workflows.
- Experience defining or improving QA processes in a fast-paced startup environment and applying practical judgment across automation and manual testing.
- Cloud experience, ideally AWS, plus clear communication, attention to detail, and strong product intuition.
- Preferred experience testing AI- or LLM-backed features, including nondeterministic outputs, prompt regression, latency budgets, and graceful degradation.
- Preferred experience with application performance monitoring, distributed tracing, cloud infrastructure metrics, and internal developer tooling.
Benefits
- Competitive compensation and equity are offered; US base salary is $175,000–$210,000 depending on experience and skills.
- Medical, dental, vision, and life insurance are provided, including 100% coverage of employee medical premiums.
- Daily in-office lunch credit through DoorDash and free DashPass are provided.
- Wellhub membership is fully company-paid, including premium gym networks, wellness apps, and coaching sessions.
- 401(k) matching is offered.
- The office is pet friendly.
- This is a full-time role based in San Francisco or New York City, with in-office work four days per week and Wednesdays working from home; flexibility outside regular business hours is required.
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About Kira
Kira is the first and only fully interactive, end-to-end AI operating system that replaces the entire K–12 teaching and learning tech stack. We unite curriculum, lesson planning, grading, feedback, tutoring, translation, analytics, and student support in one simple system built for K–12 education. Unlike other AI assistants, Kira does not sit on top of classroom tools. It replaces them with something better.