Software Engineer, Graduate
Atlassian
Job Overview
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Job Description
Overview
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. This role is located in Burnaby, Vancouver or Richmond. You must be willing and able to work out of these locations and time zone to qualify.
Our Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections, empowering students for a successful career at Atlassian.
Your Future Team
Join Atlassian's world-class engineering organization focused on technical excellence and AI-driven innovation. Our engineers build cutting-edge, AI-powered solutions that enhance user experiences at scale for millions of teams. We operate with data-driven insights and agile methodologies, empowering every engineer to contribute breakthrough ideas and own impactful solutions that redefine teamwork.
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.
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.
Key Skills/Competency
- Software Development
- AI/ML Engineering
- Python
- Java
- Data Structures
- Distributed Systems
- Agile Methodologies
- Cloud Platforms
- TensorFlow
- PyTorch
How to Get Hired at Atlassian
- Research Atlassian's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume: Customize your resume to highlight experience with Python, Java, AI/ML frameworks like TensorFlow or PyTorch, and distributed systems, crucial for a Software Engineer, Graduate role at Atlassian.
- Showcase relevant projects: Detail personal projects, internships, or academic work demonstrating your software engineering skills, particularly in AI/ML applications and scalable system design.
- Prepare for technical interviews: Practice coding challenges in Python or Java, review data structures, algorithms, and system design principles relevant to Atlassian's product suite and AI focus.
- Demonstrate collaborative spirit: Be ready to discuss experiences working in Agile teams, showcasing your communication skills and ability to contribute to a shared vision for AI-driven innovation.
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