Software Engineer III

💰 $101k-$198k
🇺🇸 United States - Remote
💻 Software Development🟣 Senior

Job description

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We’re seeking a Software Engineer to join our Insights and Telemetry (InTel) Team within Cloud Platforms. The Cloud InTel Team is responsible for helping users understand the health and performance of their MongoDB deployments and developing  tools that look at customer operations and the database state to provide index and schema suggestions, aiming to improve database speed and efficiency. The team works on a variety of APIs and customer-facing UIs empowering MongoDB users to view and interact with their stored data.

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

We’re looking for someone who

  • Enjoys collaboration and being part of a team
  • Is approachable, curious, and intellectually honest
  • Has written backend systems in a compiled language (Java, C#, Go, etc.)
  • Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
  • Has experience with the design and architecture of a modern, scalable web application
  • Enjoys chasing down difficult problems in a distributed environment and on an database diagnostic/operation level
  • Always strives to expand their knowledge and keeps up to date with new technologies

Nice to Haves

  • Knowledge of database internals and tuning mechanisms, particularly indexing
  • Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re

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: 4263348201

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:

$101,000—$198,000 USD

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MongoDB

Develops a data platform, including a database-as-a-service, and offers solutions for scalable data systems.

  • 1001-5000 employees
  • Founded in 2007
  • 210 jobs

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