Senior/Lead DevOps Engineer – Federal

C3.ai, Inc.; Tysons (VA); Presencial; USD 159.000 - 230.000; Jornada completa

Descripción de la vacante

C3 AI in Tysons, VA seeks a Senior/Lead DevOps Engineer – Federal to lead deployments of the C3 Agentic AI Platform into federal environments, from architecture through production handoff, in coordination with Services and Engineering teams. This role requires US Citizenship and an active Secret clearance or higher; TS/SCI preferred.

Travel up to 50% (DC area). You will design on-prem, disconnected, and air-gapped deployments, build CI/CD pipelines, and automate with Terraform, Ansible, Helm,

Formación

• Bachelor’s degree in STEM or equivalent
• Active Secret clearance or higher; TS/SCI or higher preferred; CI or Full-Scope polygraph preferred
• 6+ years of experience in DevOps, SRE, or infrastructure engineering roles
• Experience deploying, managing, and operating scalable Kubernetes-based infrastructure in AWS/Azure; on-premises deployment experience preferred
• Hands-on administration of Kubernetes distributions (AKS/EKS/GKE/etc)
• Experience deploying Kubernetes with Terraform
• Experience packaging and deploying containerized apps with Helm
• Configuration management and automation with Ansible; Puppet a plus
• Experience with CI/CD and artifact tooling (GitLab CI, Argo CD, Nexus, Artifactory)
• Expertise in Linux, networking, and database concepts
• Experience with AWS/Azure/GCP including GovCloud/Azure Government
• Experience in Python or Bash for automation
• Excellent problem-solving and communication skills
• Customer-facing experience leading deployments or technical engagements

Responsabilidades

• Lead federal customer deployments of the C3 AI Platform end to end from requirements to handoff
• Design and implement installations meeting federal access and security requirements
• Deploy and manage Kubernetes clusters using Terraform and Helm
• Lead scripting/automation with Ansible, Bash, Python
• Set up CI/CD pipelines and artifact repositories
• Establish end-to-end monitoring and alerting for deployed systems
• Deliver root cause analyses and postmortems
• Ensure uptime and meet SLAs
• Work with Services, Engineering and Platform operations teams
• Serve as technical point of contact for customer engineering teams
• Travel to customer sites up to 50% (DC area)

Conocimientos

DevOps experience

SRE practices

Communication skills

Customer-facing experience

Educación

Bachelor’s degree in STEM or equivalent

Herramientas

Kubernetes (AKS, EKS, GKE)

Terraform

Ansible

Puppet

GitLab CI

Argo CD

Nexus

Artifactory

AWS

Azure

GCP

PostgreSQL

Cassandra

Descripción del empleo

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI

C3 AI is seeking a Senior/Lead DevOps Engineer – Federal to join our team in Tysons, VA. You will lead deployments of the C3 Agentic AI Platform into federal customer environments, from initial architecture through production handoff, working directly with customers and with C3 AI Services and Engineering teams.

This role requires US Citizenship and an active Secret clearance or higher. TS/SCI or higher is preferred. A CI or Full-Scope polygraph is preferred.

Responsibilities:

• Lead new federal customer deployments of the C3 AI Platform end to end, from requirements and architecture through installation, validation, and handoff to operations.
• Design and implement customized installations that meet the unique access and security requirements of federal environments, including on-premises, disconnected, and air-gapped networks.
• Deploy and manage Kubernetes clusters using infrastructure as code (Terraform), and deploy containerized applications with Helm.
• Initiate and lead scripting and automation (Ansible, Bash, Python) to streamline system updates and upgrades.
• Set up critical infrastructure, tools, and frameworks to streamline the deployment cycle, including CI/CD pipelines and artifact repositories.
• Establish end-to-end monitoring and alerting on all critical aspects of deployed systems.
• Solve complex problems for critical services, build automation to prevent recurrence, and deliver root cause analyses and postmortems.
• Ensure system uptime and availability, meeting functional and performance SLAs.
• Work cross-functionally with Services, Engineering, and the C3 AI Platform operations team.
• Serve as the technical point of contact for customer engineering teams: brief status, document architectures, and write runbooks.
• Travel to customer sites (up to 50%, primarily in the DC area).

Qualifications:

• Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study.
• Active Secret clearance or higher; TS/SCI or higher preferred; CI or Full-Scope polygraph preferred.
• 6+ years of experience in DevOps, SRE, or infrastructure engineering roles.
• Demonstrated experience deploying, managing, and operating scalable and fault-tolerant Kubernetes-based infrastructure in AWS and Azure clouds; on-premises deployment experience preferred.
• Hands-on administration of one or more Kubernetes distributions: AKS, EKS, GKE, RKE2, K3s, or OpenShift.
• Experience deploying Kubernetes with infrastructure as code, Terraform preferred.
• Experience packaging and deploying containerized applications with Helm.
• Configuration management and automation with Ansible; Puppet a plus.
• Experience with CI/CD and artifact tooling such as GitLab CI, Argo CD, Nexus, or Artifactory.
• Expertise in Linux operating systems, networking, and database concepts.
• Experience with cloud providers such as AWS, Azure, and GCP, including government regions (AWS GovCloud, Azure Government).
• Experience in Python or Bash to automate and monitor systems.
• Excellent problem-solving, critical thinking, and communication skills.
• Customer-facing experience leading deployments or technical engagements, working independently with strong initiative.

Preferred

• Experience in disconnected or air-gapped environments, including DISA STIG hardening and RMF/ATO support.
• Experience administering Kubernetes-based microservices and databases (Postgres, Cassandra).

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

$159,000 — $230,000 USD

C3 AI is proud to be an Equal Opportunity and affirmative action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.