Software Engineer, 2027 Graduate U.S.

Atlassian•Seattle, WA

1d•$101,592 - $159,800•Hybrid

About The Position

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 Seattle, WA. You must be willing and able to work out of this location to qualify. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship.

Requirements

Currently enrolled full time in a Bachelors or Masters degree program in Computer Science 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)

Nice To Haves

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

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.