Platform Infrastructure Engineer (SRE Core)

menlosecurity

United States

Remote

USD 150,000 - 210,000

Full time

14 days+

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Job summary

menlosecurity is seeking a Platform Infrastructure Engineer on the Site Reliability Engineering team to design, build, and operate core infrastructure services for a cloud-native platform across regions.

You will implement IAM, networking, Kubernetes, and observability, using Terraform, Spacelift, and Grafana Cloud, with a 24x7 on-call rotation. The role emphasizes security-first design and AI-assisted development tooling in a global, distributed environment.

Qualifications

  • Degree or equivalent practical experience.
  • Strong programming/scripting skills (Python, Bash, Go).
  • Production Kubernetes expertise required.
  • Terraform for provisioning and management.

Responsibilities

  • Deploy and maintain multi-region VM and Kubernetes infrastructure across clouds.
  • Build infrastructure as code using Terraform modules and Spacelift.
  • Design observability dashboards and alerts with Grafana Cloud, Prometheus, and OTel.
  • Manage certificates, DNS, ingress, and service mesh networking.
  • Collaborate with cross-functional teams on capacity planning and DR.
  • Reduce toil via automation and CI/CD pipelines, including AI-assisted coding tools.
  • Participate in a 24x7 on-call rotation across distributed teams.

Skills

Python
Bash
Go
Kubernetes
Networking
Observability tooling

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
Spacelift
Grafana Cloud
Prometheus
OTel
CI/CD automation

Job description

Role overview

This is a Platform Infrastructure Engineer role on the Site Reliability Engineering (SRE) team that builds and operates the core infrastructure services for a cloud-native platform. The position spans multiple regions and environments across major cloud providers, with a strong emphasis on infrastructure as code, multi-region resilience, comprehensive observability, and security-first design. The team is globally distributed, uses AI-assisted development tooling in its standard workflow, and operates with a 24x7 on-call rotation.

Responsibilities
  • Implement, deploy, and maintain VM and Kubernetes infrastructure across multiple cloud providers and regions, spanning dozens of clusters across development, staging, and production environments
  • Build and maintain infrastructure as code using Terraform modules and orchestration tooling such as Spacelift, provisioning networking, compute, storage, and security components
  • Implement and maintain observability 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
  • Partner across Engineering, Product, Compliance, and Security teams on capacity planning, disaster recovery, and architectural decisions
  • Identify and eliminate operational toil through automation, scripts, CI/CD pipelines, and AI-assisted coding tools
  • 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 or a related technical field, or equivalent practical experience
  • Proficiency in programming and scripting languages, particularly Python, Bash, and Go
  • Understanding of network topologies, communication protocols (TCP/IP, HTTP/S, UDP, TLS), and enterprise connectivity solutions
  • Production Kubernetes expertise including cluster administration, RBAC, networking, workload management, and troubleshooting
  • Proven experience with Terraform for infrastructure provisioning and management
  • Knowledge of major cloud platform services such as GKE, VPC networking, Cloud DNS, Artifact Registry, Secret Manager, and IAM
Nice to have
  • Familiarity with AI-assisted development and code-review tooling, including LLM-based assistants used as part of standard engineering workflows
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