Staff DevOps Engineer
Ontic, Austin, Texas
- Pay
- $160K – $190K • Offers Bonus
- Work type
- Hybrid
- Level
- Staff
- Area
- Infra, platform & SRE
- Posted
- Sep 23, 2026
About the role
Who We Are
Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its AI-powered Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations. Learn more at ontic.ai http://ontic.ai or follow us on LinkedIn https://www.linkedin.com/company/ontic-technologies/.
Who You Are
We’re seeking a DevOps Engineering leader to architect and operate secure, scalable Kubernetes platforms across AWS and AWS GovCloud, including FedRAMP-authorized environments. This person will drive zero-trust security, Terraform and GitOps automation, observability, reliability, disaster recovery, and cost governance for both multi-tenant and dedicated enterprise deployments. They’ll also provide technical leadership, mentor engineers, and partner closely with Security and Engineering to evolve Ontic’s platform strategy.
Key Responsibilities
Enterprise Platform Architecture
- Lead the design and governance of scalable, resilient, Kubernetes platforms across approved cloud environments and FedRAMP authorization boundaries
- Define standardized blueprints for multi-tenant and dedicated enterprise deployments
- Architect high-availability, multi-AZ, and disaster recovery strategies aligned with RTO/RPO objectives
- System inventory, authorized-boundary ownership, significant-change assessment, and approved-cloud-boundary wording.
DevSecOps & Zero-Trust Security
- Establish secure-by-design cloud architecture and workload identity models
- Enforce RBAC, IAM governance, encryption standards, and least-privilege principles
- Integrate supply-chain security, policy enforcement, and compliance validation into CI/CD pipelines.
- Ensure infrastructure meets applicable FedRAMP and enterprise security-control requirements.
- Vulnerability remediation, POA&M/exception tracking, and incident-response exercises.
AI-Enabled Operations & Platform Intelligence
- Implement AIOps capabilities for intelligent alerting, anomaly detection, and controlled remediation through approved runbooks, policy gates, and auditable change controls.
- Enhance observability maturity using metrics, logs, and distributed tracing
- Support AI/ML workload infrastructure, including scalable compute and secure model deployment
- Leverage automation and analytics to reduce MTTR and operational toil
Infrastructure Automation & GitOps
- Drive infrastructure standardization using Terraform, Helm, and GitOps workflows
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Listed on Ontic's Ashby job board; checked 20 h ago. First seen by us 21 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.