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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! 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.
Job Responsibility:
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.
Requirements:
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].
Nice to have:
Emerging AI Technologies: Exposure to agentic AI systems, autonomous agents, modern AI protocols (MCP, function calling), and AI-assisted development approaches
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