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Lead, Engineering Backup

MongoDB · New York

remotesenior$137,000–$137,000Posted Nov 5, 2026RustJavaGoAWSAzureS3GCSAzure Blob

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About this role

**Lead, Engineering Backup** **Location:** New York City MongoDB powers mission-critical workloads for customers who expect their data to be durable, recoverable, and fast to access. Atlas Infinite is our next-generation cloud-native architecture that decouples compute from storage, with a storage layer that continuously backs every cluster up to cloud object storage. The **Atlas Infinite Backup** team builds the systems that turn that stream of data into something customers can trust—**point-in-time recovery, retained snapshots, fast restores, disaster recovery**, and **backup storage that stays affordable** as clusters grow to hundreds of terabytes. We’re hiring an **Engineering Manager** to lead this team. This is a hands-on leadership role for someone who takes the responsibility of durably storing and recovering customer data seriously, is comfortable with the economics of large-scale storage, and has strong empathy for both their team and our users. --- ## About the Atlas Infinite Backup team The team is part of MongoDB’s **Backup and Object Storage Services** organization and works closely with **Storage Layer Services**, the disaggregated storage layer behind Atlas Infinite. We own the **object storage tier**—everything that happens to a cluster’s data after it leaves the hot path and lands in cloud object storage. Because backup is a property of the storage layer rather than a separate agent copying files, the team works on the storage engine’s **write path, data layout, and lifecycle** as much as on backup features. **Responsibilities include:** - Continuous backup of log and page data to object storage, plus indexing to efficiently locate and read a cluster’s full history - Point-in-time recovery, snapshot retention, and restore for clusters at **100+ TB per shard**, including cluster-level and collection-level restore - Compaction and garbage collection of the object store to keep retained history costs appropriate - Cold data: serving and tiering infrequently accessed collections and indexes directly from object storage - Metering and billing for backup storage, including the model that determines what customers pay for retained snapshots and point-in-time recovery - Disaster recovery and compliance capabilities (e.g., cross-region protection, retention policies, data lifecycle guarantees) - Operating services in production across many cells and regions (observability, on-call, capacity, and cost) --- ## What you’ll do - Lead, grow, and manage a team of **6 engineers** working in **Rust and Java** on distributed storage systems; set clear expectations and sustainable execution - Own the team’s roadmap across **durability, recoverability, cost efficiency, and compliance** with Backup and Object Storage Services leadership and Product Management - Drive the Atlas Infinite backup roadmap to **GA and beyond**: define “done” for disaster recovery, compliance, and backup economics; sequence work to get there - Manage customer escalations involving backup, restore, or backup cost; partner with Support, Atlas, and server teams to reproduce, root-cause, and resolve issues - Partner closely with the WiredTiger storage engine team and Storage Layer Services teams (Log Service, Page Materializer, Atlas Backup, Atlas Billing, Pricing & Packaging) on cross-team features like incremental billing, collection-level restore, and cold collections - Raise the bar on engineering practice: design reviews, operational readiness, inciden

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