Software Engineer Intern, 2027 Summer U.S
Atlassian
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- NetworkingJiraProject managementPythonJavaTypeScript
- Nice to have
- Machine learningSystem design
- Work
- Hybrid in San Francisco · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python68%Networking27%Project management7%Jira2%of 44 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
Atlassian's Intern program offers hands-on technical training, professional growth, mentorship, and social connections, designed to empower students for successful careers. This is a hybrid role located in Seattle, WA or San Francisco, CA. The paid internship program runs for 12 weeks between May/June - August/September 2027.
Key Responsibilities
- Be a valued part of the development team, making changes to code that impact products.
- Gain deep technical knowledge in full lifecycle product development.
- Report to Senior Engineers and develop new features for products.
- Contribute to key initiatives supporting customer migration to cloud and investments across core product suites including Jira, Confluence, Trello, and Bitbucket.
Compensation
This role is a paid internship.
- United States Base Pay Ranges:
- Zone A: $59/hr - $67/hr
- Zone B: $54/hr - $60/hr
- Zone C: $49/hr - $56/hr
- This role may also be eligible for benefits, bonuses, commissions, and equity.
Qualifications
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Minimum Qualifications:
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Able to commit to a 12-week full-time (40 hrs/week) program during Summer 2027.
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Currently enrolled full-time in a Bachelors or Masters degree program in Computer Science or related technical field, returning to the program after the internship, graduating by August 2028.
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Programming Foundation: Proficiency in Java, Python, Golang, Typescript or other object-oriented programming languages through coursework or personal projects.
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Technical Fundamentals: Understanding of data structures, algorithms, and their practical applications in problem-solving.
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Preferred Qualifications:
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Software Engineering Experience: Demonstrated skills through previous internships, work experience, personal projects, open-source contributions, or technical publications.
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AI/ML Interest: Exposure to artificial intelligence concepts, machine learning frameworks, or emerging AI technologies (MCP, agentic AI) through coursework, projects, or self-learning.
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System Design Awareness: Basic understanding of common design patterns and their applications in software architecture.
Note: This position is not eligible for F1 and J1 students and does not offer work sponsorship.