The posting, in Shield AI's own words
archived Oct 18, 2026Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
As a Staff Software Engineer on the Enterprise Software Engineering team, you will design and build the applications, services, and integrations that keep Shield AI's business running – connecting the systems our engineering, manufacturing, supply chain, and finance teams depend on every day. You will work primarily in C#/.NET with React on the frontend, building distributed, message-driven systems in the cloud and bringing AI capabilities into the tools our people use. This is a hands-on, senior engineering role, where you will drive solutions from requirements, system design through deployment and support – sometimes leading a project, and at other times working closely with your teammates on a shared codebase. We move fast, so we are looking for someone who learns quickly, hits the ground running, and is comfortable making sound decisions with incomplete information.
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What you'll do:
Design, build, and maintain enterprise applications, APIs, and services using C#/.NET and React, with Python where it is the right tool for the job. Architect and implement distributed, event-driven systems using message brokers (e.g., RabbitMQ, Kafka, Azure Service Bus, MQTT) and service frameworks such as NServiceBus or MassTransit. Build reliable integrations between enterprise systems (e.g., PLM, ERP, identity, and engineering platforms), handling long-running workflows, retries, and failure recovery. Apply proven system design patterns – such as Saga/process managers, outbox, CQRS, and idempotent consumers – to deliver scalable, resilient, maintainable solutions. Design and integrate AI capabilities into applications, such as LLM-powered features, agents, and intelligent automation. Use AI-assisted development tools to accelerate delivery while maintaining high standards for code quality, security, and review. Deploy and operate services in Azure and/or AWS for our team and other teams across the business, applying sound practices for security, networking, identity, reliability, and cost. Use existing and developer platforms (GitLab, Azure , GitHub, Artifactory, SonarQube) to build, test, and ship software; contribute pipeline changes as your projects require. Instrument services for observability and troubleshoot asynchronous and distributed processes in production. Collaborate closely with fellow Staff engineers – contributing to design reviews, code reviews, and the team's engineering standards – and lead projects when the work calls for it. Partner with stakeholders across the business to understand problems, shape requirements, and deliver solutions with measurable impact.