Test Engineer

Major League Baseball•Boulder, CO

4d•$105,000 - $130,000

About The Position

The Test Engineer is responsible for leading the test effort for one of the Product Development teams within our Venue Engineering group. This role will serve as a core member of an Agile team, collaborating with world-class Developers, Product Managers, Designers, and Project Managers to deliver the highest quality products in a timely and efficient manner.

Requirements

4+ years of software testing experience and the ability to demonstrate testing and technical prowess
Self-motivated, communicative, curious, proactive nature
Understanding of industry-standard test processes, load testing, and test automation pyramids
Excellent communication, problem-solving, and troubleshooting skills
Eagerness to learn new things and overcome challenges
Experience in an agile environment using processes such as Scrum, Kanban, etc
Experience with software coding, specifically as it relates to building test automation (e.g. JavaScript, TypeScript)
Experience with source code management (Git, etc.)
Experience with test tracking tools (X-Ray, etc.)
Experience with AI-assisted testing capabilities such as self-healing automation, synthetic data generation, or test code generation
Playwright experience/expertise
Experience introspecting application performance using tools such as JMX and APM (e.g. DataDog) alongside comprehending code paths based on application logging, metrics, and other signals
Experience with SRE and SRE concepts such as error budgets, SLI/SLO, etc
Experience with continuous integration (GitHub Actions, etc.)
Understanding of persistence layer and ability to plan and load test data

Responsibilities

Proactively evangelizing quality in all phases of the software development process
Authoring and communicating clear test plans, results, and coverage to your team and organization
Testing service layer using tools like Postman, Paw, and Playwright
Utilizing debugging proxies, application performance monitoring, and machine-generated data to identify the root cause of issues
Contributing to the project’s test automation suites and identifying high-value opportunities to apply automation and testing tools
Assuming co-ownership of automation and testing tools backlog
Serving as a subject matter expert and coach for testing approaches
Actively leverage and evaluate AI-assisted tooling (e.g., code conversion, test generation) to accelerate automation efforts and ensure quality of AI-generated code
Demonstrating product/platform expertise to uncover design and implementation risks early in the planning and design phases