Staff DevOps Engineer
Ontic is hiring a Senior DevOps Engineer in Austin (hybrid, 3 days/week in office) to architect and operate secure, scalable Kubernetes platforms on AWS and AWS GovCloud, including FedRAMP-authorized environments. Core tech includes Kubernetes, Terraform, GitOps (ArgoCD), CI/CD (Jenkins/GitLab), and distributed data systems like MongoDB, Kafka, and Elasticsearch.
- Compensation
- $160K–$190K / yr
- Location
- Austin, Texas, United States
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- 8-10+ years of experience in DevOps / Platform Engineering in enterprise or high-scale SaaS environments
- Proven experience architecting and operating production environments in AWS and AWS GovCloud
- Experience maintaining a FedRAMP Moderate/High production environment (continuous monitoring, vulnerability remediation, incident response, configuration management, audit evidence)
- Experience owning infrastructure patterns and changes within the authorized boundary, including system inventory, data-flow implications, inherited controls, and third-party services
- Experience designing and operating AWS Landing Zone architectures, including multi-account governance and guardrails
- Advanced Terraform experience building reusable, secure infrastructure modules and standardized environments
- Deep understanding of AWS and AWS GovCloud networking (VPC design, segmentation, routing, private connectivity, security controls)
- Deep expertise in Kubernetes-based platform design and large-scale cluster operations
- Experience implementing GitOps workflows (ArgoCD) and CI/CD automation (Jenkins, GitLab)
- Hands-on production experience with distributed systems including MongoDB, Elasticsearch, Kafka, Redis, and ArangoDB
- Strong understanding of IAM, encryption at rest and in transit, and zero-trust access models
- Experience implementing enterprise observability stacks
- Experience designing multi-tenant SaaS platforms and dedicated workload environments
- U.S. citizen authorized to work in the U.S.
Nice to have
- GCP or OCI experience
- Exposure to service mesh and secure east-west traffic management
- Exposure to AIOps
Full description
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 or follow us on LinkedIn.
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 ResponsibilitiesEnterprise 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