Senior DevOps Engineer (Active Secret Clearance)

About the role

The organization operates in the artificial intelligence space, focusing on addressing national security and business challenges. It serves as a command center linking data, models, and business outcomes to create AI systems that are reliable, adaptable, and scalable in unpredictable environments. These systems support mission-critical operations by ensuring performance where deployed, scaling with workload growth, and adapting to advancing AI capabilities. The organization aims to increase reliability and performance while reducing costs, enabling confident, data-driven decisions in dynamic settings.

The Senior DevOps Engineer will own specific product deployments by maintaining, optimizing, and enhancing on-premises and cloud computing environments. This role is critical to the successful deployment and integration of AI operations software solutions for clients, ensuring seamless customization and configuration. The position supports operational reliability and performance across mission-critical systems, contributing directly to national security and commercial client success. It offers flexibility in work location, including fully remote or hybrid options with some required travel.

Responsibilities

• Automate infrastructure as code to manage virtual machines, deploy containers, and other infrastructure
• Deploy custom Kubernetes clusters across AWS, Azure, GCP, on-premises, or hybrid environments
• Collaborate with platform developers and customer-facing teams to define requirements and develop solutions
• Deploy software to commercial, unclassified, CUI, and classified Department of Defense networks
• Respond to incidents and perform initial triage of critical system faults
• Monitor, automate, and improve software reliability, performance, and availability
• Serve as liaison between platform developers and customer teams for operational support
• Provide guidance to junior DevOps team members as needed
• Explore and implement new technologies and solutions to improve deployments

Requirements

• 6+ years of hands-on experience with Python and/or Golang or other general-purpose programming languages
• Microservice deployment in Kubernetes
• Diagnosing and resolving containerized environment issues
• Helm Chart and Kustomizations development/deployment
• Automation and infrastructure as code tools (e.g., Terraform, Ansible)
• Cloud infrastructure platforms (e.g., AWS, Azure, GCP, OpenStack)
• Managing and troubleshooting Linux systems (RHEL, Ubuntu, CentOS)
• Ability to work cross-functionally to define requirements and build solutions
• Competence in incident response and triage of critical faults
• Active Secret or higher US security clearance
• US citizenship required