QA Automation Tech Lead

Canopy•South Jordan, UT

2d•Hybrid

About The Position

Canopy is seeking a QA Automation Tech Lead with a high-level engineering pedigree to spearhead the evolution of our quality infrastructure. In this pivotal role, you will serve as the technical authority for automation across the organization while acting as the QA Automation Engineer on our Platform Squad. Your mission is two-fold: building the foundational infrastructure that enables other squads to scale, and pioneering AI-driven tooling that empowers our manual QA engineers to transition into automation seamlessly. You won’t just be maintaining a framework; you will be architecting a self-service quality ecosystem. This position is remote eligible for candidates who currently reside in Utah.

Requirements

6+ years in QA Automation with at least 1-2 years in a Lead or Staff capacity, specifically influencing technical direction or managing large-scale projects.
Expert-level proficiency in Python. You should be comfortable building custom libraries, wrappers, and CLI tools from scratch.
Hands-on experience with modern UI testing frameworks (e.g., Playwright, Cypress, or Selenium). You write stable, deterministic tests and treat maintainability and low flakiness as first-class engineering concerns.
Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve engineering bottlenecks.
Strong ability to write complex SQL queries and understand relational database architecture.
Experience building infrastructure for other engineers. You understand that your "customers" are often the developers and QA peers in other squads.
The ability to translate complex technical requirements into actionable roadmaps for both technical and non-technical stakeholders.

Nice To Haves

Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes).
Experience building custom GitHub Actions or complex CI/CD workflows.
Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines.
Contributions to testing frameworks or AI-related open-source projects.

Responsibilities

Serve as the Lead IC for the Platform Squad, designing and scaling global automation infrastructure that other product squads consume.
Build and deploy internal agentic AI tools and wrappers designed to lower the barrier to entry for manual QA engineers, enabling them to generate and maintain automated tests autonomously.
Provide high-level guidance and code reviews for QA engineers across the company, establishing "Golden Paths" for automation excellence.
Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant environments and complex CI/CD integrations.
Work closely with DevOps to ensure testing environments are ephemeral, scalable, and integrated into the deployment pipeline via GitHub Actions.
Move beyond standard assertions to build deep-level API validation suites and maintain centralized Postman collections for cross-team use.
Craft complex SQL scripts and data generation utilities to simulate production-grade data across our testing environments.
Leverage Datadog and other monitoring tools to implement "Shift-Right" testing strategies, using production telemetry to inform automation priorities.

Benefits

Flexible Paid Time Off
10 company holidays
Health Benefits - including Medical, Dental, and Vision
HSA Match
401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.
Mental Health - all employees have access to Impact Suite & to our Employee Assistance Program (EAP).
Paid New Parent Leave & Birthing Parent Leave
Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.
Nectar - our peer-to-peer recognition program
Company Events - including monthly company-wide meetings, summer parties, and more.
ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.
Fully-stocked kitchen