Software Engineer Intern, 2027 Canada

Atlassian is a software company whose engineering organization develops collaboration products and AI-driven solutions. The Software Engineer Intern will contribute code, develop and ship new product features, and gain experience across the full software development lifecycle while supporting cloud migration and core products such as Jira, Confluence, Trello, and Bitbucket.

What you'll do:

• From day one, you will be a valued part of our development team, trusted to make changes to code that directly impact our products, while gaining deep technical knowledge in full lifecycle product development. You will report to Senior Engineers on your team and dream up and code new features that can be shipped straight into our products
• As part of a unified R&D team, Engineering is prioritizing key initiatives which support our customers in moving to cloud while simultaneously continuing to bring the most value to our customers through investments across our core product suite – including Jira, Confluence, Trello, and Bitbucket

What they're looking for:

• This role is located in Vancouver, Burnaby or Richmond, British Columbia. You must be willing and able to work out of one of these locations to qualify
• This position is not eligible for employer sponsorship for work authorization at the time of hire
• • Able to commit to a 15-week full-time (40hrs/week) program during Summer 2027 or a 15-week full time (40hrs/week) program during Fall 2027
• • Currently enrolled full-time in a Bachelor or Master degree program in Computer Science, Software Engineering or related technical field and returning to the program after the completion of the internship, graduating by August 2028
• • Programming Foundation: Proficiency in Java, Python, C, C++, or other object-oriented programming languages through coursework or personal projects
• • Technical Fundamentals: Understanding of data structures, algorithms, and their practical applications in problem-solving
• • Software Engineering Experience: Demonstrated skills through previous internships, work experience, personal projects, open-source contributions, or technical publications
• • AI/ML Interest: Exposure to artificial intelligence concepts, machine learning frameworks, or emerging AI technologies (MCP, agentic AI) through coursework, projects, or self-learning
• • System Design Awareness: Basic understanding of common design patterns and their applications in software architecture

Benefits:

• Flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both
• Hands-on technical training
• Professional growth opportunities
• Dedicated mentorship
• Strong social connections
• Health and wellbeing resources
• Paid volunteer days