Senior Platform Engineer

Endor Labs • Palo Alto, CA

12d

About The Position

Endor Labs is hiring a Senior Platform Engineer to build and operate the data and cloud infrastructure behind its AI security platform. The role owns MongoDB and BigQuery operations from initial design and provisioning through monitoring, performance tuning, access management, and incident response. It also drives MongoDB scaling strategy, including sharding and placement decisions, and adds telemetry across the infrastructure to help identify issues before they become incidents.

The engineer will design, deploy, and operate infrastructure on Azure and Google Cloud that processes billions of security events daily. The role works with Kubernetes, ArgoCD, and multi-tenant clusters; advances Terraform/OpenTofu-based infrastructure provisioning through GitOps; and partners with Security, Backend, and Product Engineering. The team ships infrastructure improvements weekly while balancing speed and reliability.

Requirements

• At least 4 years of production MongoDB operations experience, including MongoDB Atlas, sharding, replica set design, index strategy, backup and restore, and full lifecycle operations.
• Experience redesigning a MongoDB shard key, rebalancing chunks, or re-architecting zone placement on a cluster that outgrew its original design.
• At least 5 years of Site Reliability Engineering or Platform Engineering experience building and operating production infrastructure.
• On-call experience and experience resolving critical incidents.
• Production experience with Kubernetes and the CNCF ecosystem, including debugging multi-cluster networking issues.
• Experience with at least one major cloud provider: Azure, Google Cloud, or AWS, with Azure and Google Cloud preferred in that order.
• Experience managing infrastructure with Terraform, OpenTofu, or Terragrunt, including reusable modules and state management at scale.
• Hands-on experience with Prometheus and Grafana, including designing SLIs/SLOs and dashboards for distributed systems.
• Ability to explain technical tradeoffs to technical and non-technical audiences and document decisions.

Nice To Haves

• Experience with MongoDB Atlas capabilities such as Atlas Search, Provisioned Throughput, and the Atlas Admin API, or experience building custom tooling to address gaps in native monitoring.
• Familiarity with infrastructure management for large monorepos, including build optimization and caching strategies; experience with Bazel, Nx, or similar tooling is a bonus.
• Hands-on experience implementing GitOps workflows with ArgoCD or Flux.
• Experience building secure infrastructure and understanding compliance requirements such as SOC 2 and GDPR while maintaining developer velocity.
• A track record of optimizing infrastructure costs and performance.
• Experience with GitHub Actions for CI/CD pipelines and familiarity with Bazel for monorepo builds.

Responsibilities

• Own MongoDB and BigQuery design, provisioning, monitoring, performance tuning, access management, and incident response.
• Design and execute MongoDB sharding strategies, including shard key selection, zone-based placement, and chunk rebalancing.
• Add metrics, logging, and tracing across infrastructure, including MongoDB and BigQuery.
• Design, deploy, and operate Azure and Google Cloud infrastructure that processes billions of security events daily.
• Operate resilient Kubernetes infrastructure using ArgoCD and help architect multi-tenant clusters that isolate customer workloads.
• Build and maintain Terraform/OpenTofu modules for safe, consistent infrastructure provisioning through GitOps workflows.
• Partner with Security, Backend, and Product Engineering to ensure the platform data layer meets product needs.
• Ship infrastructure improvements weekly while balancing speed and reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed