Senior Staff DevOps Engineer — Data Discovery & AI Governance
Core
Lead infrastructure strategy for a Kubernetes-based distributed scanning and classification platform serving enterprise customers across multi-cloud and on-premises environments.
Role type
Senior Staff DevOps Engineer (Platform & Security)
Builds
Production-grade Kubernetes clusters, automated worker node deployments, and hardened container images for data discovery and AI governance workflows.
Domain
Cloud Infrastructure, Kubernetes, Security, Data Governance
Deliverable
production ML models | infrastructure
Required skills
Kubernetes architecture, Infrastructure as Code (Terraform, ARM, Bicep), Container hardening, CI/CD pipeline design, Observability, Incident management, Technical leadership
Preferred skills
Azure/AWS/GCP Marketplace publishing, Chainguard/hardened container distributions, On-premises enterprise deployments (K3s, microk8s), Temporal workflow orchestration, MLOps methodologies
Technologies
Kubernetes, Helm, Terraform, Azure, AWS, GCP, Datadog, Loki, Promtail, Go, Python, Bash, Kafka, PostgreSQL, Elasticsearch, Vault
Responsibilities
Architect and maintain production-grade Kubernetes platforms across cloud and on-premises environments; Develop automation for worker node provisioning on cloud marketplaces; Lead container-hardening initiatives to eliminate CVEs; Maintain CI/CD pipelines ensuring zero-downtime deployments; Design monitoring and self-healing capabilities; Lead incident investigations and root cause analysis; Mentor engineers and drive DevOps best practices
Seniority
Senior Staff, hands-on technical leader with mentorship responsibilities