Senior Engineering Manager, Storage Execution

Mongodb · United Statessenior

En corto

▸Liderar un equipo de ingenieros en NY que construye el núcleo de almacenamiento de MongoDB para operaciones críticas.
▸Enfocado en durabilidad, disponibilidad, rendimiento y herramientas de diagnóstico para sistemas a gran escala.
▸Destacado: Trabajar en la integración de una nueva arquitectura de almacenamiento cloud-native con cero pérdida de datos.

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¿Qué piden?

✓8+ años en sistemas de software distribuidos o concurrentes (bases de datos, motores de almacenamiento, etc.)
✓2+ años gestionando equipos de ingenieros (contratación, evaluaciones, coaching)
✓Disponibilidad para horarios de la Costa Este
✓Capacidad para liderar escalaciones de clientes y resolver problemas de durabilidad
✓Conocimiento profundo de durabilidad, disponibilidad y recuperación ante fallos
✓Compromiso con la calidad, procesos de ingeniería y herramientas para mejorar la velocidad y fiabilidad del equipo

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

C++RustGoMongoDBOLTPReplicationQueryShardingCatalog & RoutingStorage Engines

¿A quién escribirle en Mongodb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 the United States. 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, availabili

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