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Salary
$70k – $143k per year (Estimated)
Location
In office
Seniority
Junior · 2+ years exp
Overview
Company
Impact
Profile match
MongoDB is an American database company founded in 2007 that built a document-oriented database storing records as flexible JSON-like structures rather than fixed relational tables. Its main commercial product is Atlas, a managed service running the database across the major public clouds with search, vector search, streaming and analytics layered on top, which now supplies the majority of company revenue. Headquartered in New York and listed on Nasdaq, it acquired the embedding model company Voyage AI in 2025 to strengthen its position in retrieval for artificial intelligence applications, and its database remains among the most widely used outside the relational world.

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the founding members of a 24/7/365 global cloud operations team.

Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace.

FedRamp engineers are specifically tasked with supporting our government customers in our FedRamp Atlas environment. This includes SLED (State and Local Government and Education), various federal agencies, and other customers that leverage FedRamp.

At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems.

This role will be based remotely in Colorado.

Responsibilities

  • Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
  • Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools
  • Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents
  • Monitor and detect emerging customer-facing incidents on the Atlas platform; assist in their proactive resolution
  • Automate routine monitoring and troubleshooting tasks
  • Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution
  • Cooperate with our product management and cloud engineering organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure
  • Inform executive leadership and escalation management personnel of major outages
  • Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers)

Requirements

  • Experience with being an on call DevOps, SRE, or Cloud Operations engineer (at least 2 years)
  • Expertise with Linux system administration, configuration, troubleshooting
  • Experience in monitoring, system performance data collection and analysis, and reporting
  • Expertise with networking technologies like DNS, TCP/IP, etc
  • Knowledge of database operations and concepts
  • Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
  • Capability to write small programs/scripts to solve both short-term systems problems
  • A CS/CE degree or equivalent experience
  • At least 1 of the following programming languages: Java, Go, Python, Javascript
  • A keen interest in learning new things

Special requirements

  • Be a U.S. citizen or U.S. national. Due to the nature of this role and access requirements for FedRAMP environments, this position requires work to be performed on U.S. soil
  • Willingness and ability to participate in pager duty rotations during nights, weekends and holidays (approximately one out of every six weeks), at least during an initial ramping period (and potentially permanently)
  • Willingness and ability to work 2nd shift weekend hours (3pm - 12am EST; Saturday - Wednesday) 

Nice To Have

  • MongoDB
  • Splunk
  • Kubernetes

Benefits include

  • Competitive salary, equity, pension and health insurance
  • Regular performance, compensation and development reviews
  • 20 weeks Maternity & Paternity leave to spend time with new arrivals

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: 2273487224

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:

$90,000—$176,000 USD

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