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Shield AI is a venture-backed defense-tech company developing autonomous systems, aircraft, and simulation technologies to protect service members and civilians. The company operates globally with offices across the U.S., Europe, the Middle East, and Asia-Pacific.
As an Engineer II in Automated Test, you will design, develop, and maintain comprehensive automated test frameworks for autonomy and UI applications. You'll build scalable test infrastructure supporting functional, integration, regression, system, and end-to-end testing across distributed software and hardware environments.
Key responsibilities include:
- Designing and maintaining automated test frameworks for autonomy and UI applications
- Developing scalable test infrastructure for functional, integration, regression, system, and end-to-end testing
- Creating and maintaining CI/CD pipelines in GitLab using YAML and shell scripting
- Building workflow automation tools in Python to improve test execution, reporting, and developer productivity
- Developing UI and API test automation using Go and TypeScript for web-based operator interfaces
- Integrating automated testing into continuous integration environments
- Collaborating with software, autonomy, simulation, and systems engineering teams on verification strategies
- Developing automated validation for safety-critical and mission-critical aerospace software
- Creating test harnesses, simulators, stubs, and mocks for simulated and hardware-in-the-loop environments
- Analyzing test results, troubleshooting failures, and isolating root causes
- Improving test coverage, execution speed, maintainability, and observability
- Contributing to software quality standards and automation architecture decisions
- Maintaining technical documentation for test frameworks and CI/CD infrastructure
- Supporting release qualification activities and requirements traceability
- Developing AI-assisted engineering workflows using modern coding agents (Claude Code, Codex, LLM platforms)
- Designing intelligent automation pipelines leveraging AI-assisted code generation and log analysis
- Evaluating and integrating emerging AI-driven software engineering tools
REQUIREMENTS:
- 2+ years building scalable, maintainable automation frameworks and/or developer tooling in Python
- 2+ years working with package management, dependency management, and build systems (conan, pip, setuptools, poetry, nix, or similar)
- 2+ years 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
PREFERRED QUALIFICATIONS:
- Experience integrating Python with native C/C++ libraries 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
