8 hours ago
Base Salary
$160k - $240k/yr
Responsibilities
- Build complete features across React interfaces, backend services, APIs, and data storage.
- Translate complex technical workflows into intuitive applications with clear progress, results, and failure investigation paths.
- Design and evolve APIs and data models for applications, automation, and integrations.
- Contribute to platform and application architecture through requirements and direct implementation.
- Develop software for local workstations, CI/CD environments, and air-gapped Kubernetes clusters.
- Test, deploy, debug, and support software using logs, metrics, traces, and user feedback.
- Work directly with users, product, design, and engineering teams to define scope, make tradeoffs, and deliver iterative improvements.
- Enable Hivemind teams to complete development and evaluation workflows through dependable applications and services.
- Provide documented APIs and reusable components that other teams can integrate with and extend.
Requirements
- Experience delivering and supporting production applications with meaningful frontend and backend contributions.
- Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration.
- Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling.
- Experience with databases and application data models, including querying, persistence, and schema changes.
- Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries.
- Familiarity with containers, CI/CD, and deploying and debugging services in shared environments.
- Clear communication, sound engineering judgment, and the ability to take work from an ambiguous problem through a supported solution.
- Preferred experience includes Kubernetes deployment and troubleshooting, Helm charts, service configuration, networking, and persistent storage.
- Preferred experience includes developer tools or technical applications for simulation, experimentation, training, testing and evaluation, or deployment.
- Preferred experience includes job orchestration, distributed execution, or data-processing workflows using Ray, Kubernetes Jobs, Argo Workflows, or Dagster.
- Preferred experience includes schema-driven APIs, generated clients, service integrations, plugin systems, shared component libraries, and AI-assisted workflows or agent-tool integrations.
- Familiarity with cloud, on-premises, edge, or air-gapped deployments, robotics, autonomy, or simulation is preferred.
Benefits
- Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background check and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
- Shield AI is an equal opportunity and affirmative action employer and provides accommodations for disabilities or special needs.
Tech Stack
Categories
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.