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Senior Engineer, Full-Stack - Forge

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Senior Engineer, Full-Stack - Forge in USA

  • Shield AI
  • Full time
  • Email
  • San Mateo, CA

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.

Salary: $130k - $240k/yr

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 defe...

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