S

Shield AI

Builds autonomous aircraft for defense

Senior Engineer - Software

Platform EngineeringUpdated on Nov 14
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • At least 4 years of software engineering experience or equivalent practical experience.
  • Demonstrated technical judgment in designing and operating developer tools, platforms, backend services, application programming interfaces, distributed systems, or related production software.
  • Experience owning software from initial design through deployment, operation, adoption, and continuous improvement.
  • Systems thinking and ability to turn recurring or ambiguous developer needs into coherent, reusable solutions.
  • Strong customer orientation toward internal developers and interest in understanding and improving how engineering work gets done.
  • Ability to collaborate and communicate effectively across engineering teams and organizational stakeholders.
  • Ability to advocate for new tools and practices, incorporate feedback, and build adoption through influence.
  • Experience with Amazon Web Services and cloud-native development practices.
  • Experience with Git, GitLab, Backstage, or similar developer-platform technologies.

Responsibilities

  • Design, build, and operate tools and platforms that improve the end-to-end Hivemind developer experience.
  • Advance local development workflows, devcontainers, internal developer platforms, project templates, and other reusable engineering capabilities.
  • Bring agentic artificial intelligence capabilities into developer tools and workflows, evaluating opportunities and turning promising ideas into reliable, practical solutions.
  • Partner with engineering teams to understand developer needs, identify recurring friction, and create paved paths that improve productivity without limiting appropriate flexibility.
  • Enable co-development and inner-source collaboration through accessible tooling, documentation, standards, and contribution practices.
  • Drive adoption of developer tools by working closely with engineers, gathering feedback, providing guidance, and clearly communicating their value.
  • Own solutions through discovery, design, implementation, testing, deployment, operation, and continuous improvement.
  • Use DORA metrics, developer feedback, adoption data, and other signals to understand outcomes and guide investment.
  • Contribute to technical direction through design reviews, architectural decisions, thoughtful tradeoffs, and collaboration across engineering teams.
  • At the Staff level, lead cross-team initiatives, establish longer-term technical direction, and influence how Hivemind approaches developer productivity at organizational scale.

Desired Qualifications

  • For Staff-level consideration, a demonstrated record of leading technically complex, cross-team initiatives and shaping technical direction beyond an immediate team.
  • Experience building or operating internal developer platforms, developer portals, development environments, or reusable engineering frameworks.
  • Experience applying artificial intelligence or agentic systems to software development tools and workflows.
  • Proficiency in one or more relevant languages, such as Python, Go, JavaScript, or TypeScript/Node.js.
  • Experience with devcontainers, project scaffolding, service templates, or standardized local development environments.
  • Experience enabling inner-source development or contribution across team boundaries.
  • Familiarity with DORA metrics, developer productivity measurement, and qualitative developer-experience research.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

Recently Posted Jobs

Explore more opportunities at Shield AI

See more jobs