Staff / Principal DevOps Engineer
Core
Design and build the deployment vehicle for cloud and AI infrastructure, establishing standards for a new AI Platform & Infrastructure team to support next-generation security capabilities.
Role type
Staff / Principal DevOps Engineer (Platform & Infrastructure)
Builds
CI/CD pipelines, container orchestration (Kubernetes), self-managed stateful systems (Kafka, Elasticsearch), and MLOps tooling for model serving and inference.
Domain
Cybersecurity / AI Infrastructure / Cloud Native
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture, Infrastructure as Code (Terraform, Helm), CI/CD design, Observability (Prometheus, Grafana, ELK, OpenTelemetry), Security hardening, Mentorship, Python or Go
Preferred skills
Self-managed data infrastructure (Kafka, Spark, Elasticsearch), MLOps (MLflow, Kubeflow, SageMaker), Networking fundamentals (TCP/IP, TLS, Zero Trust)
Responsibilities
Design and implement CI/CD pipelines and self-service tooling from a greenfield starting point; Automate infrastructure provisioning and configuration management; Instrument monitoring, logging, and alerting across services; Implement security best practices in infrastructure and deployment workflows; Coach engineers and transfer expertise to level up the team; Build the MLOps foundation for model serving, inference, and lifecycle management.
Seniority
Staff (8+ years) / Principal (12+ years), hands-on IC with mentorship focus
