DevOps Engineer

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.

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We’re seeking a Dev Ops Engineering leader to architect and operate secure, scalable Kubernetes platforms across AWS and AWS Gov Cloud, including FedRAMP-authorized environments. This person will drive zero-trust security, Terraform and Git Ops 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.

• 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 Git Ops 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 Dev Ops culture across teams
• Drive architecture reviews and production readiness assessments
• Partner with security and engineering to align platform strategy with enterprise objectives

• 8-10+ years of experience in Dev Ops / Platform Engineering in enterprise or high-scale SaaS…