Senior Platform Engineer
Endor Labs4 hours ago
Responsibilities
- Own MongoDB and BigQuery operations across cluster and dataset design, provisioning, monitoring, performance tuning, access management, and incident response.
- Design and execute MongoDB sharding strategies, including shard keys, zone placement, and chunk rebalancing.
- Add metrics, logging, and tracing across infrastructure, including MongoDB and BigQuery.
- Design, deploy, and operate infrastructure on Azure and Google Cloud processing billions of security events daily.
- Operate Kubernetes and CNCF-based infrastructure with ArgoCD and architect resilient, isolated multi-tenant clusters.
- Build and maintain Terraform/OpenTofu modules through GitOps workflows.
- Collaborate with Security, Backend, and Product Engineering teams and deliver infrastructure improvements weekly.
Requirements
- At least 4 years of production MongoDB experience, including sharding, replica set design, indexing, backup and restore, and full lifecycle operations.
- At least 5 years of SRE or platform engineering experience building and operating production infrastructure, including on-call and critical incident response.
- Production Kubernetes and CNCF ecosystem experience, including debugging multi-cluster networking issues.
- Experience with Azure, Google Cloud, or AWS, with Azure and Google Cloud preferred.
- Experience managing infrastructure with Terraform, OpenTofu, or Terragrunt, including reusable modules and state management at scale.
- Hands-on Prometheus and Grafana experience, including designing SLIs, SLOs, and operational dashboards.
- Ability to communicate technical tradeoffs to technical and non-technical audiences and document decisions.
- Preferred qualifications include MongoDB Atlas, Atlas Search, Provisioned Throughput, Atlas Admin API, large monorepos, Bazel, Nx, ArgoCD, Flux, GitHub Actions, secure infrastructure, SOC 2, GDPR, and infrastructure cost and performance optimization experience.
Tech Stack
Categories
About Endor Labs
Endor Labs builds an application security platform that maps code and dependencies to prioritize and remediate risks across the SDLC for AppSec and engineering teams. It supports SCA, SAST, container scanning, and software supply chain controls, including code produced by humans or AI. Founded in 2021 and headquartered in Palo Alto, it is privately held and sells to enterprises through multi-stakeholder security and engineering buyers.