
Senior/Lead Site Reliability Engineer – Federal at C3 AI (Tysons Virginia, United States)
C3 AI· Tysons Virginia, United States· $159k–$230k·
Role details
Job description
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.
Why work at C3 AI
- Culture highlights: Emphasizes a culture of curiosity, integrity, collective intelligence, and innovation. Described as a team-oriented environment where employees solve "previously unsolvable" problems. c3.ai
- Remote/hybrid/office policy: Offers a mix of on-site and remote roles. Major offices in Redwood City (HQ), Guadalajara (second-largest engineering hub), and others across the US, Europe, and Asia. c3.ai
- Notable perks:
- Equity: Restricted stock units (RSUs) granted to all full-time employees.
- Education: Full tuition coverage for a master’s degree in computer science from the University of Illinois; $25,000 cash bonus, 15% raise, and stock grant upon completion.
- Parental Leave: Up to 10–12 weeks paid leave for mothers, 4 weeks for all parents.
- Time Off: 15 days PTO (increasing with tenure) plus 10 paid holidays.
- Health: Competitive medical, dental, and vision coverage; global health insurance for business travelers.
- Retirement: 401K plan via Charles Schwab.
- Continuous Learning: Monthly training sessions, weekly lunch-and-learns, and bonuses for completing online courses.
- Engineering culture: Strong focus on full-stack, scalable enterprise AI applications. Interns and early professionals receive mentorship, bonuses for self-learning, and support for professional development. c3.ai