Software Engineer II, Test Automation

Axon•Seattle, WA

11h•$141,000 - $225,600•Hybrid

About The Position

Axon is on a mission to Protect Life, exploring critical safety and justice issues with an ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging, and meaningful, encouraging ownership and growth. The Axon VR team is dedicated to building immersive training experiences that enhance empathy, decision-making under pressure, and community engagement for officers. As a Software Engineer II focused on test automation, you will be crucial in ensuring the quality, stability, and performance of VR training products, which include Unity-based applications, backend services, and integrated web platforms. This role is ideal for a highly technical engineer passionate about quality, developer efficiency, and enabling frequent, reliable releases through scalable automation and CI/CD infrastructure.

Requirements

5+ years of experience in software development or test automation, ideally in immersive tech, gaming, or simulation environments.
Proficiency in C# with experience testing Unity-based applications.
Demonstrated success building automated tests and CI/CD pipelines for multi-surface systems (VR client, backend, web) with GitHub Actions, Jenkins or similar systems.
Familiarity with test automation tools like Appium, Selenium, NUnit or custom Unity testing frameworks.
Strong problem-solving skills and ability to investigate performance, interaction fidelity, and device-specific issues.
Clear and collaborative communication skills, with a strong sense of ownership and initiative.

Responsibilities

Design and implement test automation frameworks and tools for Unity VR applications, backend APIs, and connected web components.
Develop and maintain CI/CD pipelines to support continuous testing and deployment across the VR stack.
Collaborate with QA, software engineering, and product teams to build test coverage across unit, integration, E2E, and non-functional levels.
Create and maintain test plans that reflect realistic training scenarios, performance benchmarks (e.g., frame rate, headset responsiveness), and hardware-in-the-loop requirements.
Analyze automation results, investigate failures, and lead issue triage efforts with cross-functional teams.
Contribute to engineering best practices that improve test velocity, code quality, and deployment safety.
Advocate for quality and faster test feedback throughout the software development lifecycle, embedding automation into daily workflows.