Senior Lead Engineer, Storage Execution (RSS)

Posted Yesterday
Easy Apply
Be an Early Applicant
New York, NY, USA
Hybrid
151K-297K Annually
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
The Senior Lead Engineer will manage a New York-based team, overseeing storage execution and ensuring customer data is durably stored while driving engineering improvement and team development.
Summary Generated by Built In

We are hiring a Senior Lead Engineer 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.

About the Storage Execution team

The Storage Execution team sits at the heart of MongoDB’s Replicated Storage Services (RSS). 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.  
  • 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 RSS 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, HELP/BF 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
  • 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 (or Support/Cloud) on complex incidents and turning them into clear, outcome‑oriented recommendations
  • Proven ability to develop people: mentoring and promoting engineers, managing underperformance directly, and building high‑engagement teams with low regretted attrition
  • Comfortable leading multi‑quarter initiatives with multiple stakeholders and using written documents to align teams on design, scope, and tradeoffs
  • Able and willing to work from the New York City office most days, alongside the engineers you lead
Success measures

In three months, you have:

  • Built strong relationships with your team and key partner teams
  • Taken over team ceremonies, short‑term planning, and on‑call/HELP/BF responsibilities
  • Co‑led at least one active project and shipped one concrete process improvement

In six to twelve months, you have:

  • Led at least one cross‑team initiative in availability, durability, or developer velocity
  • Delivered a multi‑quarter project with clear impact on durability/availability or team throughput
  • Built a bench of engineers ready for increased scope and, over time, leadership roles
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Req ID: 1273391152

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$151,000$297,000 USD

Top Skills

C++
Go
Rust

What the Team is Saying

Sunsharay
Sachin
Bianca
Garaudy
Erica
Ava
May
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
HQNew York, NY
Company Office Image
Sydney, Aus
Austin, TX
Company Office Image
Barcelona, Catalonia
Company Office Image
Ciudad de México, Ciudad de México
Gurugram, Haryana
Company Office Image
Hanyang, KR
Company Office Image
London, GB
Company Office Image
Milano, IT
Company Office Image
Palo Alto, CA
Paris, FA
San Francisco, CA
São Paulo, BR
Company Office Image
Singapore
Learn more

Similar Jobs

MongoDB Logo MongoDB

Senior Analyst, GTM Operations

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
7 Locations
5550 Employees
78K-111K Annually

MongoDB Logo MongoDB

Product Pricing & Monetization Strategy Senior Analyst

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
New York City, NY, USA
5550 Employees
83K-162K Annually

MongoDB Logo MongoDB

Business Operations & Strategy Associate

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
New York City, NY, USA
5550 Employees
97K-189K Annually

MongoDB Logo MongoDB

Senior Data Analyst

Big Data • Cloud • Software • Database
Easy Apply
Remote or Hybrid
United States
5550 Employees
97K-189K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account