This role pays more than
67%
of similar roles. Most pay
$170,000–$246,993
— the shaded band above.
At the midpoint, this role pays about
$228k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About MongoDB
MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.
MongoDB currently has
294 open roles
on FindRole.
Listed pay typically runs
$126,000–$231,000
across 88 roles with salary data.
Senior Engineering Manager, Storage Execution will lead a New York-based team of eight to ten engineers within the Online Transaction Processing group. This hands-on leadership role involves managing the team’s roadmap regarding durability, availability, and performance while overseeing the core transactional read/write path across current and next-generation cloud-native storage architectures. The manager will oversee internal collection and index APIs, transaction processing speeds, and schema-level storage operations while partnering with cross-functional teams on flow control and load-shedding. Candidates must possess over eight years of experience in distributed or highly concurrent systems software and at least two years of direct people management. Required technical skills include proficiency in a compiled, statically-typed language such as C++, Rust, or Go. The role addresses the critical challenge of ensuring data durability and performance for mission-critical production workloads.
What does a Engineering Manager earn?
Median $257150 from 146 postings across 44 companies.
Manage a team of 8 to 10 engineers by providing coaching, performance management, and clear expectations.
Own the team roadmap regarding durability, availability, performance, and developer productivity in partnership with leadership.
Resolve customer escalations involving storage behavior and durability by collaborating with Support and Atlas teams.
Drive process and tooling improvements to increase engineering velocity and improve code quality.
Lead multi-quarter initiatives for cross-team features like the new storage architecture and availability improvements.
Manage technical trade-offs between near-term deliverables, long-term infrastructure goals, and platform investments.
Oversee the development of validation, diagnostics, and test infrastructure to ensure system reliability at scale.
What we're looking for
8+ years of experience building, debugging, and tuning distributed or highly concurrent systems software like databases, storage engines, or filesystems.
2+ years of experience managing engineers directly, including hiring, performance management, and coaching.
Proficiency in at least one compiled, statically-typed language such as C++, Rust, or Go.
Experience with C++ and systems programming 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 experience working with demanding customers on complex incidents to provide outcome-oriented recommendations.
Proven ability to mentor engineers, manage underperformance, and build high-engagement teams.
Ability to lead multi-quarter initiatives and use written documentation to align stakeholders on design and scope.
Remote (New York, NY)89 days ago
$126,000–$248,000
Rust
C++
Kubernetes
AWS
Azure
GCP
Distributed Systems
Containerization
Observability
Load Testing
Chaos Engineering
Database Internals
Multi-tenant Cloud Services
High Availability
Data Processing Systems
MongoDB
Distributed Systems
Linux
Windows
AWS
Azure
Google Cloud Platform
Python
Java
Go
Node.js
C++
C#
JavaScript
Ruby
PHP
Network Administration
Performance Tuning
Benchmarking