{"id":4132652,"url":"https://alion.io/job/c3-ai-seniorlead-devops-engineer-federal","title":"Senior/Lead DevOps Engineer – Federal","company":{"id":29,"name":"C3 AI","domain":"c3.ai","url":"https://alion.io/company/c3-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":65,"ghost_share":0.185,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-11-11T05:49:22Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Tysons, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":159000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Bash","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"K3s","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenShift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-12T01:14:07Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T03:07:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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\nC3 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 initialarchitecture through production handoff, working directly with customers and with C3 AI Services and Engineering teams.\nThis 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. \nResponsibilities:\nLead new federal customer deployments of the C3 AI Platform end to end, from requirements and architecture through installation, validation, and handoff to operations. \nDesign and implement customized installations that meet the unique access and security requirements of federal environments, including on-premises, disconnected, and air-gapped networks. \nDeploy and manage Kubernetes clusters using infrastructure as code (Terraform), and deploy containerized applications with Helm. \nInitiate and lead scripting and automation (Ansible, Bash, Python) to streamline system updates and upgrades. \nSet up critical infrastructure, tools, and frameworks to streamline the deployment cycle, including CI/CD pipelines and artifact repositories. \nEstablish end-to-end monitoring and alerting on all critical aspects of deployed systems. \nSolve complex problems for critical services, build automation to prevent recurrence, and deliver root cause analyses and postmortems. \nEnsure system uptime and availability, meeting functional and performance SLAs. \nWork cross-functionally with Services, Engineering, and the C3 AI Platform operations team. \nServe as the technical point of contact for customer engineering teams: brief status, document architectures, and write runbooks. \nTravel to customer sites (up to 50%, primarily in the DC area). \nQualifications:\nBachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. \nActive Secret clearance or higher; TS/SCI or higher preferred; CI or Full-Scope polygraph preferred. \n6+ years of experience in DevOps, SRE, or infrastructure engineering roles. \nDemonstrated experience deploying, managing, and operating scalable and fault-tolerant Kubernetes-based infrastructure in AWS and Azure clouds; on-premises deployment experience preferred. \nHands-on administration of one or more Kubernetes distributions: AKS, EKS, GKE, RKE2, K3s, or OpenShift. \nExperience deploying Kubernetes with infrastructure as code, Terraform preferred. \nExperience packaging and deploying containerized applications with Helm. \nConfiguration management and automation with Ansible; Puppet a plus. \nExperience with CI/CD and artifact tooling such as GitLab CI, Argo CD, Nexus, or Artifactory. \nExpertise in Linux operating systems, networking, and database concepts. \nExperience with cloud providers such as AWS, Azure, and GCP, including government regions (AWS GovCloud, Azure Government). \nExperience in Python or Bash to automate and monitor systems. \nExcellent problem-solving, critical thinking, and communication skills. \nCustomer-facing experience leading deployments or technical engagements, working independently with strong initiative. \nPreferred \nExperience in disconnected or air-gapped environments, including DISA STIG hardening and RMF/ATO support.\nCertified Kubernetes Administrator (CKA).\nExperience administering Kubernetes-based microservices and databases (Postgres, Cassandra). \nCandidates must be authorized to work in the United States without the need for current or future company sponsorship.\nC3 AI provides excellent benefits, a competitive compensation package and generous equity plan. \nVirginia Base Pay Range\n$159,000—$230,000 USD\nC3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. 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