Legion · 2 months ago
Sr. DevSecOps Engineer - Onsite (MacDill AFB)
Legion is a company focused on developing secure and reliable AI systems for critical challenges. They are seeking a Senior DevSecOps Engineer to deploy their product in government environments, manage integrations, and ensure security compliance while maintaining high performance and availability of services.
Agentic AIArtificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Deploy the Legion Intelligence product in US government compute environments using Flux, Terraform, Kubernetes/Docker, and related technologies
Develop automation scripts for provisioning, monitoring, backing up, patching, and deploying the Legion product and underlying services
Ensure high availability, fault tolerance, and disaster recovery capabilities for deployed applications
Implement robust monitoring, alerting, and logging systems to ensure optimal performance and uptime
Integrate the Legion product with external authentication and authorization systems in government production environments
Integrate the Legion product with third-party mission data systems in production environments (MS SharePoint, Palantir Foundry, etc.)
Collaborate with product DevOps Engineers to establish best practices and company-wide guidelines
Work closely with product software engineering teams to integrate their project deliverables into customer production cloud and on-premises environments
Leverage system and application health monitoring tools (e.g., Grafana, Prometheus, OpenTelemetry, Vector) to maintain application health, diagnose problems, and facilitate remediation
Troubleshoot complex system issues and work with customers, partners, and internal development teams to identify root causes and resolve them
Prepare packages required for Authorization to Operate (ATO), Certification to Field (CTF), and other security requirements presented by US Government Risk Management Frameworks (RMF)
Enforce compliance with security best practices and policies
Stay current with new DevSecOps technologies and recommend innovative solutions that increase value and improve efficiency
Qualification
Required
An active US Department of Defense or Intelligence TS/SCI clearance
A BS degree or higher in Computer Science, Engineering, or related fields
CompTIA Security+ Certification
4+ years of experience as a DevOps or DevSecOps Engineer, or equivalent software-engineering role
2+ years of experience deploying software and/or managing software deployments in US Government classified networks
Extensive experience deploying and managing software in AWS, Azure, GCP, and/or Oracle Cloud environments, as well as on-premises data centers
Strong experience with containerization and orchestration technologies, especially Docker, Kubernetes, and Helm
Experience delivering software to multiple environments using GitOps or similar automation and configuration management technologies
Experience with CI/CD tools such as GitLab, GitHub Actions, ArgoCD, etc, and a willingness to learn and adopt new ones
Experience deploying rapidly evolving software and maintaining a flexible deployment paradigm to enable rapid iteration
Strong communication skills and the ability to collaborate effectively with clients, partner vendors, end users, and cross-functional teams
Experience writing and leveraging infrastructure-as-code (Terraform or similar)
Working knowledge of databases, both SQL and NoSQL, and related data structures
Proficiency in at least one scripting language (e.g. Bash, Python, TypeScript)
Working familiarity with system and application health monitoring tools, e.g., Grafana/Prometheus/OpenTelemetry/Vector or similar
Experience building deployment systems for rapidly developing and changing applications
Must be eligible to work in the US without sponsorship
Preferred
Experience with the deployment of AI software using Kubernetes, including GPU resource management
Experience in startup environments
Benefits
Competitive compensation and benefits packages
Professional growth and development
Company
Legion
Legion helps organizations turn AI pilots into production results, securely and at scale.
Funding
Current Stage
Growth StageTotal Funding
$58.35MKey Investors
XYZ Venture CapitalNava Ventures
2024-12-03Series B· $40M
2023-09-19Series A· $16M
2022-08-03Pre Seed· $2.35M
Recent News
2025-06-30
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