5 days ago
Base Salary
$130k - $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 team integrations.
- Contribute to platform and application architecture through requirements and direct implementation.
- Build software that runs across local workstations, CI/CD environments, and air-gapped Kubernetes clusters.
- Test, deploy, troubleshoot, and support software using logs, metrics, traces, and user feedback.
- Work with users, product, design, and engineering teams to define scope, make tradeoffs, and deliver iterative improvements.
- Build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation workflows.
Requirements
- Production experience delivering and supporting 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 carry ambiguous work through to a supported solution.
- Preferred experience with Kubernetes, Helm, service configuration, networking, persistent storage, simulation, experimentation, training, test and evaluation, or deployment applications.
- Preferred experience with Ray, Kubernetes Jobs, Argo Workflows, Dagster, OpenAPI, JSON Schema, Protocol Buffers, gRPC, WebSockets, plugin systems, shared component libraries, or AI-assisted workflows.
- Experience across cloud, on-premises, edge, or air-gapped environments and familiarity with robotics, autonomy, or simulation are preferred.
Benefits
- Full-time regular employees receive bonus, benefits, and equity in addition to pay within the listed range.
- Temporary employees receive a temporary benefits package applicable after 60 days of employment.
- The role is full-time and offers work across local, cloud, on-premises, edge, and air-gapped environments as applicable.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
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.