Staff Engineer, Full-Stack – Forge (R6232)

What you'll do:

Key outcomes:

Required qualifications:

• 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 a 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 and debugging services in a shared environment.
• Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution.

Preferred qualifications:

• Experience in every area below is not expected. Relevant experience may include:
• Hands-on Kubernetes experience deploying or troubleshooting applications, including Helm charts, service configuration, networking basics, and persistent storage.
• Developer tools or technical applications for simulation, experimentation, training, test and evaluation, or deployment.
• Job orchestration, distributed execution, or data-processing workflows using tools such as Ray, Kubernetes Jobs, Argo Workflows, or Dagster.
• Schema-driven APIs, generated clients, or service integrations using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or WebSockets.
• Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows and agent-tool integrations.
• Applications deployed across cloud, on-premises, edge, or air-gapped environments; familiarity with robotics, autonomy, or simulation.
• Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use.
• Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively.
• Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work.
• Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows.
• Additional information
• Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Why join us:

Additional information

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 useful paths to investigate failures.
• Design and evolve APIs and data models that support applications, automation, and integrations with other teams.
• Contribute to a platform / application architecture directly through requirements or direct contribution.
• Contribute to software that is meant to run in a multitude of environments from local workstations, to CICD, to airgapped Kubernetes clusters.
• Test and support what you build, using logs, metrics, traces, and user feedback to improve reliability, performance, and usability.
• Work directly with users, product, design, and engineering teams to define scope, make practical tradeoffs, and deliver improvements iteratively.