Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About Atlassian
Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. We have developed well-known products such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products are revolutionizing the software industry, and helping teams collaborate and create the magic that provides their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to promote humanity.
About Central AI Org
Our organization is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences, and setup up an Atlassian AI infrastructure for the future. Our purpose is to:
Build horizontal AI capabilities and infrastructure which provide leverage across products
Build a centralized Search, Q&A, and Conversational AI across all Atlassian products.
Explore the integration of Atlassian products with AI products outside Atlassian.
About AI & ML Platform Team
Our team is building the foundations to democratize Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.
Job description
As a Principal Engineer on the AI & ML Platform team, you will build and shape the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.
You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.
In this role, you'll get the chance to:
- Regularly tackle the largest and most complex problems in the team, from technical design to launch.
- Deliver solutions that are used by other teams and products.
- Routinely tackle complex architectural challenges and define architectural standards.
- Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems.
- Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
- Mentor junior members of the team.
- Our tech stack is primarily Java/Kotlin built on AWS.
- On your first day, we'll expect you to have
- Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
- Understanding of Machine Learning project lifecycle and tools.
- Experience in architecting and implementing high-performance RESTful microservices.
- Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security, and Networking).
- Experience with Continuous Delivery and Continuous Integration.
It would be great, but not required if you have
Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
Experience with Databricks or Apache Spark.
Experience with Amazon Sagemaker.
Experience with scaling and deploying Machine Learning models.
Experience with using LLMs.
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To learn more about our culture and hiring process, explore our Candidate Resource Hub.
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