Security Engineer, 2027 Graduate U.S.

Atlassian•Seattle, WA

12d•Hybrid

About The Position

Atlassian is hiring a 2027 graduate Security Engineer for its Security team in a hybrid role based in Seattle, WA. The team helps protect Atlassian products, customers, and the systems and data used by Atlassians by combining software engineering, security research, and investigation. The role involves developing and maintaining security capabilities, investigating technical problems, and contributing to team operations. The successful candidate will work with experienced security engineers, receive guidance and feedback, and build technical judgment while taking on increasing responsibility. Applicants must be willing and able to work from the Seattle location. The role is not eligible for F1 or J1 students and does not offer work sponsorship. Atlassian’s Grad++ program provides hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections to help graduates begin their careers. The position may be eligible for benefits, bonuses, commissions, and equity. U.S. base pay ranges depend on geographic pay zone: Zone A, $133,200–$173,900; Zone B, $120,600–$157,450; and Zone C, $110,556–$144,337.

Requirements

Currently enrolled full time in a bachelor's or master's program in Computer Science or a related technical field, with graduation by August 2027.
Familiarity with Java, Python, JavaScript, or other related object-oriented programming languages.
Knowledge of data structures, including how they are implemented and applied to security challenges.
Familiarity with common design patterns.
Demonstrated interest in security through academic coursework, previous work or internship experience, or personal projects.
Must be willing and able to work in Seattle, WA.
Not eligible for F1 or J1 students; work sponsorship is not available.

Nice To Haves

Hands-on experience investigating security weaknesses through application testing, code analysis, configuration reviews, or security research.
Exposure to application security, cloud security, identity and access management, endpoint security, or data protection.
Experience using AI-assisted development tools or building with LLM APIs, including testing and validating outputs.
Examples of technical work that explain the approach, findings, and results, such as projects, security write-ups, or open-source contributions; experience may come from academic, personal, research, or internship work.
Optional: a publicly shareable project, security write-up, or technical investigation link with the application. Do not share confidential information or undisclosed vulnerabilities.

Responsibilities

Develop, test, and maintain tools and automation that help teams find security weaknesses, investigate findings, and prioritize risks, with guidance and increasing independence.
Conduct security research and analyze results to understand potential weaknesses, distinguish actionable findings from false positives, and communicate impact.
Use AI-assisted coding and research tools, validating their outputs; depending on the work, build AI-assisted security capabilities or investigate risks in AI-enabled systems.
Contribute to security operations, maintain documentation, and identify opportunities to improve team tools and workflows.
Own assigned work and collaborate with security and software engineers through design discussions, code reviews, and regular feedback.
Raise blockers and seek guidance when needed.
Demonstrate solutions, explain results and limitations, and document them so others can use and maintain them.