Senior Platform Engineer
Endorlabs · Palo Alto, CA
About this role
## Senior Platform Engineer ### About Us AI coding is the largest use case of enterprise AI adoption today—but the bottleneck has shifted from code generation to **security and safety**. AI agents write code faster than teams can review it, and a large share of generated code is insecure. Vulnerabilities are accumulating far faster than companies can remediate, and adversaries can exploit new issues within hours. **AURI by Endor Labs** closes that gap by running inside the harness where coding agents work. Controls sit **outside the model**, and every agent action is visible. Underneath is a patented **code context graph** that maps code, open source, containers, and infrastructure—showing which vulnerabilities are reachable and exploitable, and delivering fixes that won’t break the application. Customers include **OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood,** and **Peloton**. ### How You’ll Make an Impact - **Own MongoDB and BigQuery Day 0 and Day 2 Operations**: From initial cluster/dataset design and provisioning to monitoring, performance tuning, access management, and incident response. - **Drive MongoDB Scaling Strategy**: Design and execute sharding strategies (shard key selection, zone-based placement, chunk rebalancing) to scale without painful re-architecture. - **Instrument the Stack with Telemetry**: Add metrics, logging, and tracing across infrastructure (including MongoDB and BigQuery) to catch issues before incidents. - **Build Cloud Infrastructure at Scale**: Design, deploy, and operate infrastructure on **Azure** and **Google Cloud** processing billions of security events daily. - **Work Across Kubernetes & the CNCF Ecosystem**: Operate resilient, self-healing infrastructure using **Kubernetes** and **ArgoCD**; help architect multi-tenant clusters that isolate customer workloads. - **Advance Infrastructure as Code**: Build and maintain **Terraform/OpenTofu** modules for safe, consistent provisioning via GitOps workflows. - **Collaborate Across Teams**: Partner with Security, Backend, and Product Engineering so the data layer keeps pace with the product. - **Iterate and Innovate**: Ship infrastructure improvements weekly while balancing speed with reliability. ### What You Bring to the Table - **Hands-On MongoDB Experience (Day 0 & Day 2)**: 4+ years operating MongoDB (including Atlas) in production—sharding, replica set design, index strategy, backup/restore—across the full lifecycle. - **A Track Record of Scaling MongoDB**: Experience redesigning shard keys, rebalancing chunks, or re-architecting zone placement with clear tradeoff understanding. - **Battle-Tested SRE/Platform Experience**: 5+ years in Site Reliability Engineering or Platform Engineering; on-call experience resolving critical incidents. - **Kubernetes Proficiency**: Hands-on Kubernetes and CNCF ecosystem experience in production, including multi-cluster networking debugging. - **Cloud Native Engineer**: Experience with at least one major cloud provider (**Azure, Google Cloud, or AWS**—in that order of preference). - **Infrastructure as Code Practitioner**: Terraform/OpenTofu/Terragrunt experience, including reusable modules and state management at scale. - **Observability Advocate**: Prometheus/Grafana experience, including designing SLIs/SLOs and dashboards for distributed systems. - **Clear Communicator**: Ability to explain complex tradeoffs to technical and non-technical audiences and document decisions. ### Wh
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