About the role

AI Testing & Delivery Automation Engineer at Branch Metrics defining and scaling testing across the organization. Collaborating with Engineering and Product to improve software delivery with AI-assisted testing.

Responsibilities

Own, design, and drive how testing is implemented across the system
Shape and evolve the testing stack end-to-end (Playwright, Karate, Pact, Postman, etc.)
Define the approach for creating, reviewing, executing, and maintaining test cases and test scripts
Drive adoption of AI-assisted testing (Claude Code, Windsurf, Copilot)
Work hands-on with teams to get them started, helping define test cases, write initial tests
Build and own a scalable regression and smoke testing approach
Own the integration of testing into CI/CD pipelines
Work with Engineering and Infrastructure teams to define, establish, and improve test environments
Continuously improve test reliability, reduce flakiness, and drive clear processes for test results
Define and drive testing metrics (coverage, reliability, execution, failures)
Drive adoption of testing standards across Engineering and Product

7+ years of experience in software engineering, test automation, or quality engineering
Strong hands-on experience with test automation across multiple layers (API, service, UI)
Experience building and scaling test frameworks and automation practices
Strong understanding of modern testing tools and approaches (Playwright, Karate, API/contract testing, etc.)
Experience integrating testing into CI/CD pipelines and working with modern development workflows
Ability to design testing strategies, define coverage, and establish standards across teams
Hands-on coding experience and ability to write and review test code as needed
Experience working closely with Engineering and Product teams in a cross-functional environment
Strong communication skills with the ability to drive alignment and adoption across teams
Experience improving test reliability, reducing flakiness, and maintaining long-term test quality
Experience adopting AI into QA practices, including using tools like Claude Code, Cursor, Windsurf, or Copilot