# Senior Engineering Manager, Storage Execution at MongoDB

MongoDB is hiring a Senior Engineering Manager, Storage Execution for a remote role open to applicants in Canada. It pays CAD 191k-CAD 265k a year and Level rates it Little AI ●○○○; you can [apply on MongoDB](https://jobsbylevel.com/go/3d1398ce-a93a-47f3-a985-7e71a8959574?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Remote (Ontario).

## Details

- Company: [MongoDB](https://jobsbylevel.com/companies/mongodb)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Remote (Ontario)
- Salary: CAD 191k-CAD 265k
- Posted: September 10, 2026
- Apply: https://jobsbylevel.com/go/3d1398ce-a93a-47f3-a985-7e71a8959574?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-engineering-manager-storage-execution-at-mongodb-df1588

## Prepare for this job

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## Description

MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in Ontario, Canada. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring teams on flow control, prioritization and load-shedding to stay within resource limits, protecting durability and availability at the cluster level without starving critical operations What you’ll do Lead, grow and manage a New York–based team of 8 to 10 engineers; ensure clear expectations, high standards, and healthy, sustainable execution Own the team’s roadmap across durability, availability, performance, and developer productivity, in partnership with OLTP leadership and Product Management Manage customer escalations involving storage behavior and durability; work directly with Support, Atlas, and other server teams to reproduce, root‑cause, and resolve issues Drive process and tooling improvements that raise engineering velocity and code quality (e.g., ownership, review expectations, customer escalation and build failure practices) Partner closely with Replication, Query, Sharding, Catalog & Routing, Storage Engines, and Atlas teams on cross‑team features such as the new storage architecture, availability improvements, and workload management Represent Storage Execution in planning, staffing, and calibration; make thoughtful tradeoffs between near‑term deliverables, longer‑term availability gaps, and platform investments Candidate profile 8+ years building, debugging, and tuning distributed and/or highly concurrent systems software (databases, storage engines, filesystems, or similar) 2+ years managing engineers directly, including hiring, performance management, and coaching across a range of levels Willing to work East Coast hours Strong proficiency in at least one compiled, statically-typed language such as C++, Rust, or Go; prior C++ and systems programming experience is a plus Deep understanding of durability, availability, and performance tradeoffs in distributed systems; experience with replication, consensus, storage engines, or transactional systems is highly desirable Demonstrated customer obsession: direct experience working with demanding customers

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