Lead DevOps Engineer

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 or follow us on LinkedIn .

Who You Are 10-12 years of experience in DevOps / Platform Engineering in enterprise or high-scale SaaS environments Proven experience architecting and operating multi-cloud production environments (AWS, GCP, OCI, Azure) Deep expertise in Kubernetes-based platform design and large-scale cluster operations Advanced Terraform experience with reusable module design and environment standardization Strong experience implementing GitOps workflows (ArgoCD) and CI/CD automation (Jenkins) Hands-on production experience with distributed systems: like MongoDB, ElasticSearch, Kafka, Redis, ArangoDB Strong understanding of cloud networking, IAM, encryption (at-rest & in-transit), and zero-trust access models Experience implementing enterprise observability stacks Experience with AI-driven operations (AIOps), intelligent alerting, anomaly detection, or automated remediation systems Exposure to AI/ML infrastructure

requirements (GPU workloads, model deployment, MLOps integration) Experience designing multi-tenant SaaS platforms and isolated client-dedicated environments Experience supporting enterprise compliance frameworks (SOC2, ISO 27001, etc.) Exposure to service mesh and secure east-west traffic management Key

Responsibilities Enterprise Platform Architecture Lead the design and governance of scalable, resilient, multi-cloud Kubernetes platforms Define standardized blueprints for multi-tenant and dedicated enterprise deployments Architect high-availability, multi-AZ, and disaster recovery strategies aligned with RTO/RPO objectives 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 security scanning, policy enforcement, and compliance validation into CI/CD pipelines Ensure infrastructure meets SOC2 / ISO enterprise security controls AI-Enabled Operations & Platform Intelligence Implement AIOps capabilities for intelligent alerting, anomaly detection, and automated remediation 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 Design safe deployment strategies (blue/green, canary, progressive delivery) Improve infrastructure drift detection and environment reproducibility Reliability & Performance Engineering Define SLO/SLI frameworks and reliability benchmarks Optimize autoscaling (HPA/VPA/Cluster Autoscaler) and workload efficiency Improve performance and scalability of distributed stateful systems FinOps & Cost Governance 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 Leadership & Governance 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 Ontic