7 hours ago
Tysons, VA, USAStaff+
Base Salary
$159k - $230k/yr
Responsibilities
- Lead end-to-end deployments of the C3 AI Platform for federal customers, including requirements, architecture, installation, validation, and operational handoff.
- Design and implement deployments for on-premises, disconnected, and air-gapped federal environments with unique access and security requirements.
- Deploy and manage Kubernetes clusters with Terraform and containerized applications with Helm.
- Automate system updates and upgrades using Ansible, Bash, and Python.
- Build deployment infrastructure, CI/CD pipelines, artifact repositories, monitoring, and alerting.
- Troubleshoot critical services, prevent recurring issues through automation, and deliver root cause analyses and postmortems.
- Maintain system uptime and availability while meeting functional and performance SLAs.
- Act as the technical point of contact for customer engineering teams, including status briefings, architecture documentation, and runbook creation.
- Collaborate with Services, Engineering, and C3 AI Platform operations teams.
- Travel to customer sites up to 50%, primarily in the DC area.
Requirements
- Bachelor’s degree in STEM or a comparable area of study.
- US citizenship and an active Secret clearance or higher.
- At least 6 years of experience in DevOps, SRE, or infrastructure engineering roles.
- Experience deploying, managing, and operating scalable, fault-tolerant Kubernetes infrastructure in AWS and Azure.
- Hands-on administration of Kubernetes distributions such as AKS, EKS, GKE, RKE2, K3s, or OpenShift.
- Experience with Kubernetes infrastructure as code, preferably Terraform, and containerized application deployment with Helm.
- Experience with Ansible and CI/CD or artifact tools such as GitLab CI, Argo CD, Nexus, or Artifactory.
- Expertise in Linux operating systems, networking, and database concepts.
- Experience with AWS, Azure, and GCP, including AWS GovCloud and Azure Government.
- Experience using Python or Bash for system automation and monitoring.
- Customer-facing experience leading deployments or technical engagements independently.
- Preferred qualifications include disconnected or air-gapped environment experience, DISA STIG hardening, RMF/ATO support, CKA certification, and administration of Kubernetes-based microservices and databases such as Postgres and Cassandra.
- TS/SCI or higher clearance and a CI or Full-Scope polygraph are preferred.
Benefits
- Excellent benefits, a competitive compensation package, and a generous equity plan.
- On-site role in Tysons, Virginia, with travel to customer sites up to 50%, primarily in the DC area.
Tech Stack
AnsibleApache CassandraArgo CDAWSAzureBashGitLab CI/CDGoogle Cloud PlatformHelmKubernetesLinuxOpenShiftPostgreSQLPuppetPythonTerraform
Categories
About C3.ai
C3 AI builds enterprise AI software, including the C3 Agentic AI Platform for developing and operating AI applications, a suite of industry-specific SaaS applications, and C3 Generative AI for domain-specific use cases. It sells to large enterprises and public-sector organizations via subscriptions and services. Founded in 2009 and headquartered in Redwood City, California, C3 AI is a public company trading on the NYSE (ticker: AI) and also listed on Mexico’s BMV.