# Staff Engineer, Software (R6331)

**Company**: Shield AI
**Location**: Remote
**Work arrangement**: remote
**Experience**: staff
**Job type**: Full Time Employee
**Salary**: USD 140,000-210,000 per-year-salary
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/dd7070fb-bc02-4ab0-930f-c3c2e933353e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_59473dee-b79

## Description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.

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.

## Responsibilities

- 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 CI/CD and developer platforms (GitLab, Azure DevOps, 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.

## Requirements

- Typically requires a minimum of 7+ years of professional software engineering experience, with a 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, an open-source web development framework | .NET Core), including building 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, including an understanding of delivery guarantees, ordering, retries, and dead-letter handling.

- Strong knowledge/experience in architecting and using Integration Platform as a Service (iPaaS) tools.

- Strong understanding of system design and architectural patterns, including distributed systems, microservices vs. modular monoliths, eventual consistency, and resiliency patterns.

- Cloud experience is a must – preferably Azure or AWS. Solid grasp of core cloud concepts at an associate-certification level (e.g., AZ-204, AZ-104, AWS Solutions Architect – Associate, AWS Developer – Associate), including security, networking, identity and access management (IAM/RBAC), compute, storage, and managed services.

- Working knowledge of CI/CD and deployment practices – comfortable building, deploying, and troubleshooting applications through pipelines, though platform administration is not a primary responsibility.

- Experience with relational databases (e.g., SQL Server, PostgreSQL), including data modeling and query performance.

- Strong experience with AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and practical judgment about how to use them effectively and safely.

- Strong testing discipline, including unit, integration, and end-to-end testing.

- Thrives in a fast-paced environment – learns new domains and technologies quickly and delivers value early.

- Excellent communication and collaboration skills, with the ability to explain technical trade-offs to both engineers and non-technical stakeholders.

- Demonstrated commitment to ownership, continuous improvement, and being a reliable, respectful team member.

## Skills

### Required
- C#
- .NET
- React
- Python
- RabbitMQ
- Kafka
- Azure Service Bus
- MQTT
- NServiceBus
- MassTransit
- Azure
- AWS
- CI/CD
- GitLab
- Azure DevOps
- GitHub
- Artifactory
- SonarQube
- SQL Server
- PostgreSQL
- AI coding tools

### Nice to have
- Saga pattern
- Particular Service Platform
- Active Azure or AWS certification
- Containers and orchestration
- Infrastructure-as-code
- Observability tooling
- Enterprise identity platforms
- PLM
- ERP

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/dd7070fb-bc02-4ab0-930f-c3c2e933353e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)