Working at Atlassian

Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 

Atlassian is seeking a Principal Engineer to join our Search Relevance group in Central AI department. The Central AI organisation constructs the fundamental infrastructure, data pipeline, frameworks, models, search and other capabilities to expedite AI feature development throughout the entire company.

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 organisation 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.

What you'll do:

• Pioneer the development of search relevance capabilities to meet the needs of the AI wave

• Drive large, complex projects autonomously, from technical design to launch

• Contribute to ongoing feature development, specialising in search functionality and be the domain expert on search and relevance related technologies

• Solve architecture challenges, apply architectural standards and start using them on new projects

• Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems

• Partner across engineering teams to tackle company-wide initiatives

Your background

On the first day, we'll expect you to have

• 6+ years of software development experience

• Deep hands-on experience in improving search relevance or recommendation systems at scale

• Strong expertise in Java or equivalent language technology and the ability to write performant production-quality code

• Experience building and scaling machine learning models in business applications using large amounts of data

• Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognise the business benefit of "having something now" vs "perfection sometime in the future"

• Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

• Deep Elasticsearch/OpenSearch skills, especially around the Query DSL

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

• Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions