MongoDB Logo

MongoDB

Manager, Site Reliability Engineering - Storage Layer Service

Reposted Yesterday
Be an Early Applicant
Easy Apply
Hybrid
New York City, NY
157K-270K Annually
Senior level
Easy Apply
Hybrid
New York City, NY
157K-270K Annually
Senior level
Lead a small team of Site Reliability Engineers focused on the storage layer of MongoDB's cloud services. Responsibilities include setting technical direction, managing capacity, and improving operational processes.
The summary above was generated by AI

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

Responsibilities
  • Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
  • Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
  • Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
  • Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations
You may be a good fit if you
  • Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
  • Possess a customer-focused mindset, treating internal developers as your primary users
  • Value efficiency in processes and operations, and have a track record of optimizing team workflows
  • Prefer automation over manual processes, fostering a culture of building software solutions to eliminate toil
  • Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
  • Have operated or supported stateful storage or database systems at scale and are comfortable with durability, consistency and recovery trade-offs
  • Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
  • Have a high level of empathy, responsibility, ownership, and accountability
  • Excellent verbal and written technical communication skills
Strong candidates may also have experience with
  • Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
  • Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
  • Designing secure, multi-tenant runtime environments at scale
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 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 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: 1273396229

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:
$157,000$270,000 USD

MongoDB Palo Alto, California, USA Office

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

MongoDB San Francisco, California, USA Office

88 Kearny Street, San Francisco, CA, United States, 94108

Similar Jobs at MongoDB

Yesterday
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
193K-380K Annually
Expert/Leader
193K-380K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Lead MongoDB’s Americas Solutions Architecture organization across NAMER, LATAM, and specialist teams. Set regional strategy, transform technical go-to-market operations, establish scalable governance, and drive consumption, adoption, expansion, and customer value. Partner with Sales, Product, Marketing, Services, and Customer Success on complex enterprise opportunities. Develop senior leaders, manage resources and investments, engage executive technology stakeholders, and connect customer insights to product and go-to-market decisions.
Top Skills: AWSConfluentDatabricksGCPAzureMongoDBMongodb AtlasUipath
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
157K-308K Annually
Senior level
157K-308K Annually
Senior level
Big Data • Cloud • Software • Database
Lead and scale U.S. public sector contracting: draft and negotiate SaaS/cloud and subcontract agreements, advise on FAR/DFARS/GSA/FedRAMP compliance, support RFPs and audits, build legal playbooks, and partner with cross-functional teams to mitigate regulatory and export control risk.
Top Skills: AWSDfarsExport ControlsFarFedrampGCPGsa SchedulesAzureMongodb AtlasSaaS
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
151K-297K Annually
Expert/Leader
151K-297K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.
Top Skills: C++

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account