SDET Manager II

HighLevel; Texas; Ibrido; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

HighLevel in Texas seeks an experienced SDET Manager to lead and scale our quality engineering team. You will drive test automation strategy, elevate quality processes, and foster a culture of quality-first and shift-left testing across products.

You will mentor Lead/Senior SDETs, standardize automation practices, and partner with development and release teams to deliver reliable software with speed. The role emphasizes GenAI-enabled testing and scalable frameworks.

Competenze

• 9-12 years of experience in quality engineering or SDET management.
• Proven track record leading a large SDET team and mentoring staff.
• Hands-on background as test automation architect, TypeScript/Playwright preferred.
• Strong understanding of CI/CD, cloud environments (AWS/GCP), and testing across platforms.
• Experience with API testing and performance testing tools (e.g., JMeter, k6, Gatling).
• Passion for GenAI-assisted testing and shift-left quality initiatives.

Mansioni

• Own quality outcomes across multiple teams and domains with standardized standards.
• Lead, mentor, and develop SDETs and QA engineers across squads.
• Standardize automation practices, frameworks, and quality benchmarks.
• Champion Shift-Left Testing and integrate automated validation into CI/CD.
• Partner with engineering, product, and architecture to align strategy with goals.
• Provide architectural guidance on test strategy and tooling.
• Build scalable automation frameworks using TypeScript/Playwright.
• Own release quality, set quality gates, and monitor progression and risks.
• Drive GenAI-enabled testing adoption and ongoing productivity gains.
• Use metrics to identify gaps and drive continuous improvement.

Conoscenze

SDET leadership

Automation strategy

Quality engineering

Shift-left testing

Mentoring engineers

GenAI tooling adoption

Cross-team collaboration

Performance and reliability

Strumenti

TypeScript

Playwright

CI/CD tooling

Descrizione del lavoro

We're looking for an experienced SDET Manager to lead and scale our quality engineering team at HighLevel. This is a key leadership role responsible for driving our test automation strategy, quality processes, and engineering excellence across our products. You will lead a high-performing team of SDETs and play a crucial role in building a culture of quality-first, shift-left testing, and continuous improvement. You will be responsible for strengthening our automation frameworks, improving productivity through GenAI tools, and partnering closely with development and release teams to deliver world-class software with speed and reliability.

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.

Requirements:

• 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.
• Demonstrated ability to set up scalable automation frameworks and increase automation coverage.
• Experience building testing infrastructure and pipelines for microservices or cloud-native applications.
• Exposure to streaming, content creation, or community platforms is highly desirable.
• Track record of scaling teams and processes in fast-paced product organizations.
• Passion for mentoring engineers, fostering technical growth, and promoting a culture of continuous learning.
• Enthusiasm for leveraging GenAI and AI agents to enhance testing productivity, efficiency, and intelligence.