← All jobs · MongoDB

Software Engineering Internship - Summer 2026/2027

MongoDB ·
27
AI-Agency
B25 U30
📍 Sydney, AU 🛂 Visa sponsor available Intern Internship
JavaPythonGoC++JavaScriptNode.js
TL;DR

Software engineering internship at MongoDB in Sydney. Interns push production-level code across MongoDB's products and services, working with full-time engineers on real projects for 10 weeks (December 2026–February 2027).

Apply at MongoDB →
share:
you'll be redirected to the company's career page

Job description

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. During the internship, interns push production-level code and make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users.

What we are looking for in you (qualifications)

What you'll find at MongoDB

MongoDB internships are full-time (38 hours/week) for 10 consecutive weeks from December 7, 2026 - February 12, 2027. 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 Us

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 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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273402392

Apply at MongoDB →

More open roles at MongoDB

MongoDB 🔷 AI-first · 🔄 synced 7h ago
Staff Research Scientist
📍 Palo Alto, US 🌐 Remote 💰 $151K–$297K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
PyTorchTensorFlowJAXembedding modelsrerankersLLMs
83
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 US 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehouses
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of AI Platform, GM
📍 US 🌐 Remote 🛠 AI tools welcome at work · Executive
Head of AI Platform and General Manager at MongoDB leading the development and scaling of a new AI Applications Platform. Owns product vision, P&L, and R&D organization (Engineering, Product, Design) for an enterprise-grade platform serving thousands of customers building production AI applications.
MongoDB AtlasAWSGoogle CloudMicrosoft Azurevector databasesembeddings
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 British Columbia, CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehousesorchestration agents
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of Post Sales Technology
📍 Palo Alto, US 🌐 Remote 🛠 AI tools welcome at work · Director
Head of Post Sales Technology at MongoDB leading AI-first transformation of customer support. Responsible for designing conversational AI platforms, predictive analytics, intelligent automation, and change leadership across support operations.
RAGconversational AImachine learningenterprise data platformsworkflow automation
77
AI-core