MongoDB
From MongoDB's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
REQ ID: 4273610427 MongoDB’s base salary range for this role is posted below.
Engineering Manager, Atlas Infinite Backup
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, and its storage layer 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 are 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.
The team is part of MongoDB's Backup and Object Storage Services organization and works hand in hand 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.
Continuous backup of log and page data to object storage, and the indexing that lets a cluster's full history be located and read efficiently
Point-in-time recovery, snapshot retention, and restore for clusters at the scale of 100+ TB per shard, including cluster-level and collection-level restore
Compaction and garbage collection of the object store so that retained history costs what it should and no more
Cold data: serving and tiering infrequently accessed collections and indexes directly from object storage
Metering and billing for backup storage, including the model that decides what customers pay for retained snapshots and point-in-time recovery
Disaster recovery and compliance capabilities for Atlas Infinite, such as cross-region protection, retention policies, and data lifecycle guarantees
Operating these services in production across many cells and regions: observability, on-call, capacity, and cost
Lead, grow, and manage a team of 6 engineers working in Rust and Java on distributed storage systems; set clear expectations, high standards, and healthy, sustainable execution
Own the team's roadmap across durability, recoverability, cost efficiency, and compliance, in partnership with Backup and Object Storage Services leadership and Product Management
Drive the Atlas Infinite backup roadmap to GA and beyond: define what done means for disaster recovery, compliance, and backup economics, and sequence the work to get there
Manage customer escalations involving backup, restore, or backup cost; work with Support, Atlas, and server teams to reproduce, root-cause, and resolve issues
Partner closely with the WiredTiger storage engine team, the Storage Layer Services teams that own the Log Service and Page Materializer, Atlas Backup, Atlas Billing, and Pricing & Packaging on cross-team features such as incremental billing, collection-level restore, and cold collections
Raise the bar on engineering practice: design reviews, operational readiness, incident follow-through, and the tooling that lets a small team run a large production footprint
Represent the team in planning, staffing, and calibration; make thoughtful tradeoffs between near-term GA deliverables, long-term architecture, and operational investments
Candidate profile
8+ years building, debugging, and operating distributed storage, database, or large-scale data infrastructure systems (storage engines, object storage, backup and recovery systems, log-structured systems, 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 Rust, Java, C++, or Go; experience with both Rust and Java is a plus
Deep understanding of durability, consistency, and recovery tradeoffs; experience with snapshots, point-in-time recovery, log-structured storage, compaction, or cloud object storage (S3, GCS, Azure Blob) is highly desirable
An instinct for storage economics: you have reasoned about cost per GB, data lifecycle, and how physical layout translates into a customer's bill
Demonstrated customer obsession: direct experience working with demanding customers or support teams 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
Curious, collaborative, and intellectually honest
Success measures
Built strong relationships with your team and key partner teams across Storage Layer Services, Atlas Backup, and Product
Taken over team ceremonies, short-term planning, and on-call ownership
Co-led at least one active project and shipped one concrete process or operational improvement
Led at least one cross-team initiative in recoverability, disaster recovery, or backup cost efficiency through to production
Delivered a multi-quarter project with clear impact on Atlas Infinite's GA readiness or on what backup costs customers
Built a bench of engineers ready for increased scope and, over time, leadership roles
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 4273610427
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.
$137,000—$270,000 USD
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in