Platform Infrastructure Engineer (SRE Core)

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors.

About the Role

Platform Infrastructure Engineering is responsible for building and operating Menlo Security's Infrastructure Platform. Together with the rest of our engineering teams, we enable our customers to connect to the Internet without compromise. Our environment provides services globally. We expect failure, build security in by design, create evolvable systems, and enable multi-tenancy across the infrastructure. Automation is an absolute for us.

We are committed to getting it done properly, the first time.

As a Platform Infrastructure Engineer, you'll join a group of experienced engineers who are part of a globally distributed team responsible for building and managing the company's core infrastructure services and maintaining our constantly growing platform. The team operates a sophisticated cloud-native infrastructure built on Google Kubernetes Engine and VMs spanning multiple environments globally from development to production. We manage infrastructure as code with Terraform and Spacelift orchestration, and deploy services using Helm charts. Our platform emphasizes security-first design, comprehensive observability, and multi-region resilience. Success in this role requires working with a vast VM fleet in AWS and GCP as well as Kubernetes, writing Infrastructure as Code, and a passion for automation and reliability engineering.

Responsibilities

• Design, deploy, and maintain VM and Kubernetes infrastructure on GCP and AWS across dozens of clusters spanning development, staging, and production environments in multiple regions.

• Coordinate with your peers in your direct team as well as across teams to ensure that the tasks you’re working on are going to solve the problems that we need them to solve.

• Build and maintain Infrastructure as Code (IaC) using Terraform modules, managing resources through Spacelift or equivalent Terraform Automation and Collaboration Software (TACOS). Provision cloud infrastructure including networking, compute, storage, and security components primarily on GCP, with secondary AWS support.

• Implement and manage workflows with sophisticated multi-layer configuration management.

• Build and maintain comprehensive observability solutions using Grafana Cloud, Prometheus/Mimir, and OTel collectors. Design Grafana dashboards, configure alerting rules, and ensure visibility across all platform components.

• Manage certificate lifecycle, DNS automation, ingress controllers, and service mesh networking with Cilium.

• Partner with Engineering, Product, Compliance, and Security teams to design resilient, scalable systems. Consult on capacity planning, disaster recovery, and architectural decisions for cloud-native applications.

• Identify and eliminate toil through automation. Write scripts, develop tools, and build CI/CD pipelines to improve operational efficiency and reduce manual work.

• Participate in a 24x7 on-call rotation as part of a globally distributed team, responding to incidents and driving post-incident reviews.
  

Requirements

• Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.

• Proficiency in common programming & scripting languages. We use a lot of python, bash and go.

• Understanding of network topologies, communication protocols (ie. TCP/IP, HTTP/S, UDP, TLS) and enterprise grade connectivity solutions.

• Kubernetes expertise including cluster administration, RBAC, networking, workload management, and troubleshooting across 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.

• Experience with GitOps methodologies and tools.

• Clear understanding of how to use LLM code assist tools to effectively build software.

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Why Menlo?

At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled. We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security’s policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.