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$ cat jobs/forward-deployed-infrastructure-engineer-mid-level-spear-ai-18eb1f207ac0.json

Forward Deployed Infrastructure Engineer (Mid-Level)

Spear Ai·Worldwide·Manassas, VA / On-site·mid
dockerkuberneteshelmawslinuxci/cd
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As a forward-deployed engineer, you’ll work on-site with customers — writing code, integrating systems, and solving hard problems in the field. You’re part engineer, part technical advisor, and wholly accountable for making the mission succeed. The position requires a current or active U.S. Secret clearance. Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation’s security. As we expand, we’re building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you’re joining our Hardware, Software, or Services division, you’ll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure. Spear AI builds sonobuoy sensors that are deployed into the water and collect edge data. We also work with the U.S. Navy to collect and process their SONAR data. You’ll have an opportunity to work on real-world projects that directly impact warfighter capabilities and mission success. What you’ll do We’re a small team wearing many hats, and you’d have a wide variety of responsibilities that include: - Design and implement cloud architecture. - Develop Infrastructure as Code using Pulumi. - Build and maintain GitLab CI/CD and DevSecOps pipelines. - Continuously deploy to AWS cloud and air-gapped environments. - Monitor applications/services with OpenTelemetry, Sentry, and SigNoz. - Enforce CMMC compliance policies and rules. - Manage secrets and configuration. - Deploy, configure, and troubleshoot infrastructure within customer and air-gapped environments. - Support RHEL/Linux-based platforms using Kubernetes, Podman, Docker, and Helm in operational environments. - Partner directly with customer engineering teams to integrate, test, and resolve infrastructure issue

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