Level

MongoDB

2027 - Software Engineering Intern, AMER

MongoDB is hiring a 2027 - Software Engineering Intern, AMER in Austin, New York and San Francisco, United States. It pays $87k-$124k a year and Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Java, Python and Go.
  • Level classifies it as an internship.
  • Level lists 382 other open roles at MongoDB.
  • The role was posted in the last few days.

AI in this role

Summer software engineering internship working on production code across MongoDB products and services.

javapythongocjavascriptnode-js

We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. 

Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their summer pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users.

This is a 12-week internship starting in May or June 2027.

What we are looking for in you (qualifications)

  • In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field.
  • Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design.
  • Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language.
  • Have a minimum of one quarter/semester remaining in university studies after the internship concludes. Graduation date in Fall 2027, Spring 2028, Summer 2028, Fall 2028, Spring 2029 or Summer 2029.
  • Must be authorized to work in the United States. 

What you'll find at MongoDB

  • Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation.
  • Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth.
  • Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development.
  • Work-Life Harmony: Embrace "Bloom for Interns" with access to mental and physical health benefits, paid time off, free lunch, and more!
  • Impactful Projects: Contribute to projects where you can Make it Matter - your meaningful work will see the light of day.
  • Exclusive Networking: Attend "Speaker Series" and "Get to Knows" to connect with our executives and departmental leaders.
  • Vibrant Community: Build connections with fellow interns and join after-work social events, virtual gatherings, and local city activities to create connections and friendships.
  • Relocation Support: Financial assistance, housing, and a commuting stipend to allow you to comfortably settle into your new location.
  • Path to Full-Time: A chance to see if MongoDB is where you see yourself long term with the possibility of receiving a full time offer at the end of the summer!

MongoDB internships are full-time (40 hours/week) for 12 consecutive weeks beginning in May or June and ending in August or September. All interns are considered hybrid employees, designated the "in office" working model and are expected to be in their office location 3-5 days a week.

Due to the high volume of applications our Early Talent Recruitment Team receives, it may take up to six weeks to hear back regarding an update on your application status. Our goal is to get back sooner, but we appreciate your patience as our team carefully reviews each application.

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 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: 426438

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:$86,528—$123,552 USD

How we rate this

2027 - Software Engineering Intern, AMER at MongoDB rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

JavaPythonGoCJavaScriptNode.js

Questions you could be asked

  1. What's a project where you used Java hands-on?
  2. Walk me through how you've used Python in your day-to-day work.
  3. What are the limits of Go that you've run into, and how did you work around them?
  4. What's a project where you used C hands-on?
  5. Walk me through how you've used JavaScript in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Java, Python, Go, C, and JavaScript. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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