Software Engineer, 2026 Graduate Canada

Join Atlassian's world-class engineering organization where technical excellence meets AI-driven innovation. Our elite engineers build cutting-edge solutions that enhance user experiences at scale, leveraging artificial intelligence to transform how millions of teams collaborate. We maintain the highest standards through data-driven insights and agile methodologies. Every engineer is empowered to contribute breakthrough ideas in AI-powered features and take ownership of impactful solutions, creating industry-leading products that redefine the future of teamwork.

Candidates Also Search: Remote Engineering jobs

Responsibilities

• 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.

Candidates Also Search: Remote Software/ IT jobs

Minimum Qualifications

• 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, statistical concepts, and familiarity with design patterns for modern systems including AI/ML architectural patterns (data pipelines, model serving, microservices)
• Currently enrolled full time in a [degree and major type] program and are graduating by [date].

Preferred Qualifications

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