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The Central AI org’s 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. 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. This role is within the Search and Data Ecosystem team which is responsible for building broad and deep SaaS applications connectors to bring in valuable third party data into Atlassian to power all AI experiences and strengthen Atlassian’s competitive positioning.
Job Responsibility:
Shape the forward-looking technical direction and long-term architecture for pillars in the Search and Data Ecosystem org
Collaborate with product, engineering, and design leaders to influence the broader department-level strategy
Ensure that the technical strategy you build is aligned with the technical strategy of Atlassian products and platforms
Regularly unblock challenges faced in the software development cycle, from technical design to launch
Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems
Set the standards for shipping high quality code at high velocity by improving the developer experience
Mentor, hire and develop other engineers
Requirements:
Minimum of 12 years of hands-on experience in software/technology roles, in Enterprise Products & Solutions in the cloud
Proficiency with cloud-native technologies, ideally AWS
At least 2 years of experience architecting and implementing multiple features of a SaaS product at a high scale, performance and reliability of 4 nines
Experience with building and delivering multi-tenant cloud-native SaaS software
Strong understanding of distributed systems, modern cloud-native architectures, and distributed data management
Excellent communication skills and demonstrated success in articulating and pitching technical vision to stakeholders
Ability to balance short- and long-term objectives, focusing on both technical and business outcomes
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