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Atlassian · 1 week ago

Software Engineer, 2026 Graduate Canada

Canada

Full-time

Remote

New Grad, Entry Level

CAD$94K/yr - CAD$123K/yr

Atlassian is a distributed-first company that empowers its employees with flexibility in their work environment. They are seeking a Software Engineer for their Grad++ program, which focuses on hands-on technical training, mentorship, and innovation in AI-driven solutions for collaboration tools like Jira, Confluence, and Trello.

CollaborationEnterprise SoftwareSaaSSoftware

Comp. & Benefits

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

Qualification

PythonJavaAI/ML frameworksAPIsCloud platformsData structuresStatistical conceptsAgile methodologiesTeam collaborationProblem-solvingCommunication skills

Required

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

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