Senior DevOps Engineer

Ontic•Austin, TX

2d•$160,000 - $180,000•Hybrid

About The Position

Ontic is seeking a senior 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.

Requirements

8-10+ years of experience in DevOps / Platform Engineering in enterprise or high-scale SaaS environments.
Proven experience in architecting and operating production environments in AWS and AWS GovCloud; GCP or OCI experience is a plus.
Demonstrated experience maintaining a FedRAMP Moderate/High production environment, including continuous monitoring, vulnerability remediation, incident response, configuration management, and audit evidence.
Experience owning infrastructure patterns and changes within the authorized boundary, including system inventory, data-flow implications, inherited controls, and third-party services.
Strong 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, including VPC design, segmentation, routing, private connectivity, and security controls.
Deep expertise in Kubernetes-based platform design and large-scale cluster operations.
Strong 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.
Exposure to service mesh and secure east-west traffic management.
Exposure to AIOps is a plus

Nice To Haves

GCP or OCI experience is a plus.
Exposure to AIOps is a plus

Responsibilities

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.
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.
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
Drive infrastructure standardization using Terraform, Helm, and GitOps workflows
Design safe deployment strategies (blue/green, canary, progressive delivery)
Improve infrastructure drift detection and environment reproducibility
Define SLO/SLI frameworks and reliability benchmarks
Optimize autoscaling (HPA/VPA/Cluster Autoscaler) and workload efficiency
Improve performance and scalability of distributed stateful systems
Backup restoration and recurring disaster-recovery testing against RTO/RPO.
Implement cloud cost observability and allocation strategies
Optimize compute, storage, and networking costs across multi-cloud environments
Establish cost governance models aligned with business growth
Mentor senior engineers and promote DevOps culture across teams
Drive architecture reviews and production readiness assessments
Partner with security and engineering to align platform strategy with enterprise objectives