SDET Manager: AI-Powered Quality Automation Leader

OpenKrill

United States

Remote

USD 140,000 - 180,000

Full time

14 days+

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Job summary

HighLevel seeks an experienced SDET Manager to lead and scale the Quality Engineering team. You will drive test automation strategy, quality processes, and engineering excellence across products, guiding a group of SDETs to deliver reliable software with speed.

You will champion shift-left testing, GenAI-assisted testing, and collaboration with development and release teams. We value hands-on expertise in API and performance testing, background in TypeScript/Playwright, and a passion for

Qualifications

9–12 years of overall experience in Quality Engineering.
Proven experience managing and mentoring a large SDET team.
Strong hands-on background as a Test Automation Architect, ideally in TypeScript and Playwright.
Excellent understanding of test automation design patterns, CI/CD pipelines, cloud environments (AWS/GCP), and development workflows.
Hands-on expertise with API testing, Performance testing (e.g., JMeter, k6, Gatling), and Mobile Test Automation (Appium or equivalent).
Strong believer in Shift-Left Testing, enabling early quality validation in SDLC.

Responsibilities

Own quality engineering outcomes across multiple teams/domains, driving consistent standards for release quality, reliability, automation, and engineering excellence.
Lead, mentor, and develop Lead/Senior SDETs and QA engineers, building strong technical leadership and enabling effective execution across teams.
Standardize automation practices, frameworks, code quality standards, and quality benchmarks across squads to establish consistent engineering practices.
Champion Shift-Left Testing by embedding quality practices throughout the development lifecycle and integrating automated validation and quality gates into CI/CD pipelines.
Partner with Engineering Managers, Technical Leads, Product, and Architecture teams to align quality strategy with engineering architecture, platform direction, and product priorities.
Provide architectural and technical guidance on test strategy, automation frameworks, tooling, infrastructure, testability, and quality engineering practices.
Build and evolve scalable automation frameworks using TypeScript/Playwright and other relevant technologies, enabling teams to develop reliable and maintainable test suites.
Own release quality and readiness across teams by establishing measurable quality gates and driving improvements in release reliability, production defect leakage, regression effectiveness, and overall quality.
Drive performance and reliability engineering practices, including performance benchmarks, critical API/service coverage, monitoring expectations, and early identification of scalability and reliability risks.
Drive adoption of GenAI/AI-assisted quality engineering practices, including intelligent test generation, requirement-to-test traceability, failure analysis, and improvements in engineering productivity.
Use quality metrics and engineering data to identify systemic gaps, prioritize improvement initiatives, and demonstrate measurable improvements in defect reduction, automation effectiveness, and release confidence.
Drive cross-team quality initiatives from strategy through execution, influencing stakeholders and ensuring accountability for agreed quality outcomes.
Foster a culture of continuous improvement, technical excellence, innovation, and shared quality ownership across Engineering.