At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate’s skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $199,400 – $265,800

Zone B: $179,400 – $239,200

Zone C: $165,500 – $220,600

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.


Your future team

The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.

While it’s anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.


On your first day, we’ll expect you to have

  • 5+ years of experience as a software developer.
  • Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
  • Experience with Continuous Delivery and Continuous Integration.
  • Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
  • Experience with distributed large-scale data processing (preferably Apache Spark).
  • Basic understanding of Machine Learning projects lifecycle.

It would be great, but not required if you have

  • Expert-level with search platform, deep learning training/inference platfrom.
  • Experience with Databricks.
  • Experience with scaling and deploying Machine Learning models.
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