Senior Engineer, Software Engineering Tools (R4913)

United States·DallasFull Time Employeesenior

OtherSoftware

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.

We’re looking for a software engineer to develop internal tools that directly accelerate the development of some of the most cutting-edge aircraft in the defense industry. In this role, you’ll partner closely with engineers across disciplines to design, build, and support a wide range of tooling — from lightweight automation scripts and macros to more robust frameworks and platforms. These solutions will be deeply embedded in daily workflows and represent some of the highest-impact software at the company, enabling teams to move faster, make better decisions, and bring advanced capabilities to life more efficiently.

Own software development from design through deployment for a range of internal tools, as an independent developer operating within a broader organization.

Integrate diverse engineering systems, including electronic design automation, computer-aided design, and product lifecycle management tools.

Embed with teams such as electrical engineering and production automation to incubate new projects and develop elegant solutions to difficult problems.

Use databases, scripts, services, and application packaging to deploy software across multiple platforms.

Improve existing frameworks and tools by adding features, fixing bugs, and enhancing maintainability.

Use AI assisted tools and workflows to accelerate development.

5+ years of software development experience.

Proficiency in Python, C++, JavaScript, and SQL.

Experience designing, building, and supporting internal tools used by engineering, manufacturing, or operations teams.

Experience with database schema design and analysis.

Experience building automated package build and deployment pipelines (CI/CD).

Experience with containerization technologies (Docker).

Experience with cloud platforms (Azure, GCP, AWS).