
501 - 1000 employés
Fondée en 2015
🤖 Intelligence artificielle
🚀 Aérospatiale
🎖️ Défense
Artificial Intelligence • Aerospace • Defense
Shield AI est un développeur de premier plan de solutions militaires basées sur l'intelligence artificielle, axé sur l'amélioration de l'autonomie des missions et de la connaissance du champ de bataille. Leur plateforme, Hivemind, permet le déploiement rapide de systèmes intelligents pour diverses applications de défense, y compris l'opération de drones et la surveillance. Avec un engagement envers l'utilisation de technologies avancées, Shield AI vise à protéger les membres des services et les civils en révolutionnant les technologies de défense par le biais de systèmes autonomes.
🕒 il y a 13 jours
🇺🇸 États-Unis – Télétravail
💵 $140 000 - $210 000 / an
⏰ Temps Plein
🔴 Expert
🧑💻 Développeur Full-Stack
👻 Score fantôme 3%
🗣️🇺🇸🇬🇧 Anglais requis
ASP.NET
AWS
Azure
Cloud
Distributed Systems
Entity Framework
ERP
Kafka
Microservices
Postgres
Python
RabbitMQ
React
SQL
TypeScript
.NET
D'où vient cette offre
Publiée sur la page carrières de Shield AI, pas via un site d'emploi
Repérée par Remote Rocketship il y a 13 jours
Toujours ouverte sur le site de Shield AI. Vérifiée il y a 2 heures.

501 - 1000 employés
Fondée en 2015
🤖 Intelligence artificielle
🚀 Aérospatiale
🎖️ Défense
Artificial Intelligence • Aerospace • Defense
Shield AI est un développeur de premier plan de solutions militaires basées sur l'intelligence artificielle, axé sur l'amélioration de l'autonomie des missions et de la connaissance du champ de bataille. Leur plateforme, Hivemind, permet le déploiement rapide de systèmes intelligents pour diverses applications de défense, y compris l'opération de drones et la surveillance. Avec un engagement envers l'utilisation de technologies avancées, Shield AI vise à protéger les membres des services et les civils en révolutionnant les technologies de défense par le biais de systèmes autonomes.
• Design, build, and maintain enterprise applications, APIs, and services using C#/.NET and React, with Python where appropriate • Architect and implement distributed, event-driven systems using message brokers such as RabbitMQ, Kafka, Azure Service Bus, or MQTT • Build reliable integrations between enterprise systems including PLM, ERP, identity, and engineering platforms • Apply Saga/process managers, outbox, CQRS, and idempotent consumer patterns • Design and integrate AI capabilities such as LLM-powered features, agents, and intelligent automation • Use AI-assisted development tools while maintaining code quality, security, and review standards • Deploy and operate services in Azure and/or AWS • Use CI/CD and developer platforms including GitLab, Azure DevOps, GitHub, Artifactory, and SonarQube • Instrument services for observability and troubleshoot asynchronous and distributed processes in production • Contribute to design reviews, code reviews, and engineering standards • Lead projects when needed and partner with business stakeholders to shape requirements and deliver measurable impact
• Typically requires a minimum of 7+ years of professional software engineering experience • Bachelor's degree in Computer Science or a related field; or equivalent practical experience • Deep expertise in C# and .NET (.NET 6+ / ASP.NET Core), including RESTful APIs, background services, and Entity Framework or similar data access • Professional experience building frontends with React; TypeScript preferred • Hands-on experience with messaging and event-driven architecture using RabbitMQ, Kafka, MQTT, Azure Service Bus, or similar technologies • Strong knowledge/experience in architecting and using Integration Platform as a Service (iPaaS) tools • Strong understanding of system design and architectural patterns, distributed systems, microservices vs. modular monoliths, eventual consistency, and resiliency patterns • Cloud experience with Azure or AWS; knowledge of security, networking, IAM/RBAC, compute, storage, and managed services • Working knowledge of CI/CD and deployment practices • Experience with relational databases such as SQL Server or PostgreSQL, including data modeling and query performance • Strong experience with AI coding tools such as GitHub Copilot, Cursor, or Claude Code • Strong testing discipline, including unit, integration, and end-to-end testing • Excellent communication and collaboration skills • Commitment to ownership, continuous improvement, and reliable, respectful teamwork • All offers contingent on a cleared background and possible reference check
• Bonus • Benefits package • Equity • Temporary benefits package applicable after 60 days of employment for temporary employees
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