Software Engineer, 2027 Graduate Canada

Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed.

Your Future Org

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!

This role is located in Burnaby, Richmond or Vancouver, 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. Applicants who may require employer sponsorship in the future are encouraged to indicate this during the application process.

• Build Production-Ready Features: Develop scalable code for Atlassian's products (Jira, Confluence, Trello) used by millions of teams worldwide, contributing to reliable systems that power global collaboration
• Own End-to-End Projects: Take ownership of features from design through deployment, including implementation, testing, and monitoring in production environments
• Collaborate in Agile Teams: Work closely with senior engineers, product managers, and designers using Agile methodologies and lean practices to deliver impactful solutions
• Innovate with AI/ML Technologies: Contribute to AI-powered features and integrations, working with modern frameworks, agentic systems, and intelligent automation capabilities
• Solve Complex Technical Problems: Tackle challenging issues related to distributed systems, data processing, and user experience optimization while using data-driven insights to validate assumptions and improve products.

Minimum Qualifications

• Currently enrolled full time in a Bachelors or Masters degree program in Computer Science, Software Engineering or related technical field and are graduating by August 2027.
• Programming & AI/ML Proficiency: Experience with Python, Java, or other modern object oriented languages, with exposure to AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and understanding of machine learning fundamentals
• Software Engineering Experience: Proven development skills through internships, work experience, projects, or publications, including experience with APIs, cloud platforms, or AI-powered applications
• Data & System Design: Strong understanding of data structures, algorithms, statistical concepts, and familiarity with design patterns for modern systems including AI/ML architectural patterns (data pipelines, model serving, microservices)

Preferred Qualifications

• Emerging AI Technologies: Exposure to agentic AI systems, autonomous agents, modern AI protocols (MCP, function calling), and AI-assisted development approaches.