About the role

QA Engineering Manager at SpryPoint leading the establishment of an automation function. Focusing on developing testing strategies and tools for a cloud-native utility software company.

Responsibilities

Define and own the quality engineering strategy and roadmap across our products.
Stay hands-on: personally write automated tests, build framework components, and review code alongside the team (roughly half your time).
Select the test automation tooling and framework, and set the standards squads build on.
Integrate automated testing into our CI/CD pipelines and partner with DevOps on stable, repeatable deployments.
Define quality gates: what blocks a merge and what blocks a release, aligned with engineering leadership and risk.
Drive a risk-based approach to testing so effort goes where it protects clients most.
Push tests down the stack (API before UI), drive down the flaky-test rate, and enable squads so the practice doesn't depend on any one person.
Hire, coach, and grow a team of automation engineers, and raise testing discipline across product squads.
Own quality metrics and a dashboard that leadership trusts, providing objective signals for go/no-go release decisions.
Evaluate and adopt AI-assisted testing tools (test generation, self-healing tests, defect triage, agentic testing) through a practical, hybrid model, while keeping a human-in-the-loop standard so AI-generated tests and code are reviewed, not trusted blindly.

7+ years in software quality or engineering, including 3+ years leading and growing engineers.
A track record of building or significantly maturing a test automation practice.
Current, hands-on coding ability: you can build framework components and write automated tests yourself, and you want to keep doing so in this role.
Strong technical judgement on automation frameworks, CI/CD, and test architecture, backed by recent hands-on experience.
Fluency with modern automation tooling (Playwright, Cypress, Selenium) and CI/CD (GitHub Actions, Jenkins, GitLab CI).
Experience defining quality metrics and using them to influence release decisions.
Clear communicator who can translate quality risk into terms leadership and product can act on.
Hands-on understanding of how AI is changing testing, with sound judgement on where it helps and where it doesn't. Experience evaluating or adopting AI-assisted QA tooling or a credible plan for doing so.
Familiarity with testing AI or LLM features (evaluation harnesses, golden datasets, guardrails, bias and accuracy checks), or the ability to get there quickly.

Remote-first environment, flexible working hours across North America, and hub offices in Charlottetown & Atlanta
Comprehensive compensation package that grows with you
MacBook + $800 to create your ideal home workspace
Health, dental, vision, and life insurance from day one
Generous PTO and unlimited sick days
RRSP (Canada) and 401k (US) matching programs
$2,500 annual development fund, tuition assistance, and Book Bounty program
Annual company events and team offsites that bring us together