Engineer II, Automated Test (R6288)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

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.

2+ years of experience building scalable, maintainable automation frameworks and/or developer tooling in Python. 2+ years of experience working with package management, dependency management, and build systems using tools such as conan, pip, setuptools, poetry, and nix or similar. 2+ years of experience building tooling for automated log collection, analytics, reporting, and failure triage. Strong understanding of asynchronous and concurrent programming in Python for scalable automation and parallel test execution. Experience developing and maintaining CI/CD pipelines using GitLab CI, YAML, and shell scripting. Experience with automated testing of distributed systems, backend services, APIs, and web-based UIs. Familiarity with modern test frameworks, automated validation strategies, and software quality methodologies. Experience working in Linux-based development environments. Strong debugging and problem-solving skills in complex software systems. Excellent collaboration and communication skills in cross-functional engineering environments.

Experience integrating Python with native C/C++ libraries and applications using bindings, wrappers, subprocess interfaces, or interoperability tooling. Proficiency with Go and/or TypeScript for automation tooling or UI test development. Experience with C++ development or testing. Aerospace, robotics, autonomy, or safety-critical software experience. Familiarity with simulation, hardware-in-the-loop (HIL), or embedded system testing.