Senior Engineer, Automated Test (R4461)

Design, develop, and maintain automated test frameworks for Autonomy and UI applications.

Develop scalable automated test infrastructure for functional, integration, regression, system, and end-to-end testing across distributed software and hardware environments.

Create and maintain CI/CD pipelines in GitLab using YAML configurations and shell scripting to support automated build, test, and deployment workflows.

Build workflow automation tools and utilities in Python to improve test execution efficiency, reporting, environment setup, and developer productivity.

Develop and maintain UI and API test automation using Go and TypeScript for modern web-based operator interfaces and mission control applications.

Integrate automated testing into continuous integration environments to support rapid software delivery and high reliability standards.

Collaborate closely with software, autonomy, simulation, and systems engineering teams to define verification strategies and improve software quality throughout the development lifecycle.

Develop automated validation solutions for safety-critical and mission-critical aerospace software systems.

Create test harnesses, simulators, stubs, and mocks to support automated verification in both simulated and hardware-in-the-loop (HIL) environments.

Analyze test results, troubleshoot failures, and work with development teams to isolate root causes and improve system reliability.

Improve test coverage, execution speed, maintainability, and observability of automated test systems.

Contribute to software quality standards, coding best practices, and automation architecture decisions.

Maintain clear technical documentation for test frameworks, automation workflows, CI/CD infrastructure, and validation procedures.

Support release qualification activities and ensure traceability between requirements, tests, and verification results where applicable.

Represent the Integration and Test Role in design reviews and advocate for a culture of engineering excellence and continuous improvement.

Develop AI-assisted engineering workflows and analytics tools using modern coding agents such as Claude Code, Codex, and related LLM-based development platforms to improve test generation, failure triage, debugging, and developer productivity.

Design intelligent automation pipelines that leverage AI-assisted code generation, log analysis, test analysis, and workflow orchestration to accelerate software verification and validation processes.

Evaluate and integrate emerging AI-driven software engineering tools into automated test and CI/CD ecosystems while maintaining reliability, traceability, and engineering quality standards.