Senior/Lead Site Reliability Engineer – Federal

Company: C3 IoT
Location: Tysons, Virginia, United States
Type:
Posted: Aug 19, 2026
Views: 4

✨ AI Summary

C3 AI, an enterprise AI application software company, is hiring a Senior/Lead Site Reliability Engineer for Federal work in Tysons, VA or Redwood City, CA. The role requires US citizenship and an active Secret clearance (Top Secret preferred), with up to 50% travel to customer sites. Tech stack includes Kubernetes, AWS/Azure, Linux, Terraform/Ansible, and scripting in Ruby, Bash, or Python. Salary range is $159,000–$230,000 USD for California, with excellent benefits and equity.

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 Site Reliability Engineer - Federal to join our team in Tysons, VA or Redwood City, CA.

This role requires US Citizenship. Active US Government Security Secret clearance or higher is required (Top Secret or higher is preferred).

Responsibilities:

  • Work with Federal customers to design and implement customized installations of the C3 AI Platform that meet unique access and security requirements of Federal environments
  • Maximize system uptime and availability, ensuring functional and performance SLAs
  • Establish end-to-end monitoring and alerting on all critical aspects
  • Solve complex problems for critical services and build automation to prevent problem recurrence
  • Initiate and lead scripting and automation to streamline system updates and upgrades
  • Set up critical infrastructure, tools, and framework to streamline the deployment cycle
  • Work cross-functionally with Services and Engineering teams
  • Travel to customer site (up to 50%)

Qualifications:

  • Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study
  • An active U.S. Government security clearance (Top Secret preferred)
  • Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Kubernetes-based infrastructure in AWS and Azure clouds; on-premise deployment experience preferred
  • Expertise in Linux Operating Systems, Networking, and Database concepts
  • Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP
  • Experience with Infrastructure-as-Code configurations such as Terraform, Ansible, or Puppet
  • Experience in Ruby, Bash, or Python; to automate and monitor systems
  • Excellent problem-solving, critical thinking, and communication skills
  • Experience supporting as a DevOps or sys admin for commercial SaaS solutions. Customer facing experience is a plus.

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.

California Base Pay Range
$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.

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About the Company

Name: C3 IoT
Website: https://c3.ai

C3 AI is the Agentic Operating System for Enterprise AI, turning operational data into real-time decision making and autonomous execution at scale. The company provides a complete suite of Enterprise AI products, including the C3 Agentic AI Platform, C3 AI Studio, Enterprise AI Applications, C3 Generative AI, and C3 Code, built on 15+ years of domain intelligence. It serves industries such as defense & intelligence, maritime, manufacturing, federal, oil & gas, utilities, and healthcare & life sciences, with purpose-built applications grounded in how each industry works.

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