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Shield AI is seeking a Staff Engineer, Full-Stack to join the Forge platform team. Forge is a critical component of Hivemind, Shield AI's autonomy software platform used by defense and intelligence teams worldwide.
In this role, you will own complete features spanning React frontends, backend services, APIs, and data storage. You'll translate complex technical workflows into intuitive applications with clear progress indicators, result visualization, and effective failure investigation paths. You'll design and evolve APIs and data models that support applications, automation, and integrations across teams.
Key responsibilities include:
- Building complete features across the full stack (React, backend services, APIs, databases)
- Designing intuitive UX that makes complex workflows accessible
- Contributing to platform and application architecture through requirements and direct implementation
- Supporting software deployment across diverse environments: local workstations, CI/CD pipelines, and air-gapped Kubernetes clusters
- Using logs, metrics, traces, and user feedback to improve reliability, performance, and usability
- Collaborating directly with users, product, design, and engineering teams to define scope and deliver iteratively
Success in this role means enabling Hivemind teams to complete development and evaluation workflows through coherent applications and dependable services; ensuring features work reliably across all supported environments with clear diagnostics; enabling other teams to integrate with and extend Forge through documented APIs and reusable components; and making changes straightforward to test, deploy, maintain, and support.
Shield AI operates globally with offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific. The company develops autonomy software, autonomous aircraft (V-BAT and X-BAT), and simulation/synthetic reality technologies actively supporting operations worldwide.
REQUIREMENTS:
- Proven experience delivering and supporting production applications with meaningful contributions to both frontend and backend development
- Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration
- Experience building backend services in Go, Python, or comparable language, including API design, validation, and error handling
- Experience working 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/debugging services in shared environments
- Clear communication, sound engineering judgment, and ability to work directly with users from ambiguous problems to supported solutions
PREFERRED QUALIFICATIONS:
- Hands-on Kubernetes experience (Helm charts, service configuration, networking, persistent storage)
- Developer tools or technical applications for simulation, experimentation, training, test/evaluation, or deployment
- Job orchestration, distributed execution, or data-processing workflows (Ray, Kubernetes Jobs, Argo Workflows, Dagster)
- Schema-driven APIs and service integrations (OpenAPI, JSON Schema, Protocol Buffers, gRPC, WebSockets)
- Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows
- Applications deployed across cloud, on-premises, edge, or air-gapped environments; robotics, autonomy, or simulation familiarity
