Platform Infrastructure Engineer

Who you are

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
• Proficiency in common programming and scripting languages, particularly Python, Bash, and Go
• Understanding of network topologies, communication protocols (e.g., TCP/IP, HTTP/S, UDP, TLS), and enterprise-grade connectivity solutions
• Kubernetes expertise, including cluster administration, RBAC, networking, workload management, and troubleshooting in production environments
• Proven experience with Terraform for infrastructure provisioning and management
• Knowledge of Google Cloud Platform services including GKE, VPC networking, Cloud DNS, Artifact Registry, Secret Manager, IAM, Gemini Code Assist, and Workload Identity
• Clear understanding of how to use LLM-based code-assist tools to effectively build and troubleshoot software
• Experience with GitOps methodologies and tools

What the job involves

• Platform Infrastructure Engineering builds and operates Menlo Security's Infrastructure Platform, enabling our customers to connect to the Internet without compromise
• As a Platform Infrastructure Engineer, you'll join a globally distributed team of experienced engineers building and managing the company's core infrastructure services on a cloud-native platform built on Google Kubernetes Engine and VMs spanning multiple regions and environments
• The team manages infrastructure as code with Terraform and Spacelift, deploys with Helm, and emphasizes security-first design, comprehensive observability, and multi-region resilience
• The team also uses AI-assisted development and code-review tools, including Gemini Code Assist, as part of the standard engineering workflow, and this role is expected to use LLM-based tooling to build and troubleshoot infrastructure code efficiently
• Key Outcome(s) Owned:
• Reliable, secure, and scalable infrastructure across GCP and AWS supporting Menlo's platform globally
• Reduced operational toil and incident recurrence through automation and Infrastructure as Code practices
• Comprehensive, end-to-end observability framework providing deep platform visibility, proactive health monitoring, and accelerated incident detection and resolution
• Success Metrics / KPIs:
• Infrastructure uptime/availability across regions (e.g., 99.9%+)
• Mean time to detect (MTTD) and mean time to resolve (MTTR) for incidents
• Percentage of infrastructure changes deployed via IaC (Terraform) vs. manual changes
• On-call incident volume and reduction in repeat/preventable incidents
• Lead time for provisioning new infrastructure
• Implement, deploy, and maintain VM and Kubernetes infrastructure on GCP and AWS across dozens of clusters spanning development, staging, and production environments in multiple regions
• Build and maintain Infrastructure as Code using Terraform modules and Spacelift (or equivalent TACOS), provisioning networking, compute, storage, and security components, and implementing multi-layer configuration management workflows
• Implement and maintain observability solutions using Grafana Cloud, Prometheus/Mimir, and OTel collectors, designing dashboards and alerting rules across all platform components
• Manage certificate lifecycle, DNS automation, ingress controllers, and service mesh networking with Cilium
• Partner with peers and across Engineering, Product, Compliance, and Security teams to align on requirements and consult on capacity planning, disaster recovery, and architectural decisions
• Identify and eliminate toil through automation — writing scripts, building CI/CD pipelines, and using AI-assisted coding tools to move faster
• Participate in a 24x7 on-call rotation as part of a globally distributed team, responding to incidents and driving post-incident reviews