Principal Software Engineer - AI & ML platform

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), Analytical and Problem solving, AWS, AWS Kinesis, Bitbucket, Confluence, Databricks, Design, Effective communication skills, Employee life cycle, ETL frameworks, Java Programming, JIRA, Kotlin, Large Language Models - LLMs, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

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 changing 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 Team

Our organisation is designed to accelerate AI development 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 centralised 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

We are building the foundations to democratise 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 use them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. You will integrate with the Atlassian Data Platform, allowing teams to incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to use 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 primary infrastructure to allow software engineers, ML engineers and data scientists to train, evaluate 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, solving complex infrastructure and architecture challenges.

You will lead engineers to lead 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.

You'll get the chance to:

• Tackle the largest and most complex problems with the team, from technical design to launch.
• Provide solutions that are used by other teams and products.
• Solve complex architectural challenges and define architectural standards.

• Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems.
• Partner across engineering teams to take on company-wide programmes.
• Mentor junior members of the team.
• Our tech stack is 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 architecting and implementing 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.

5+ years of experience with Databricks or Apache Spark.

Experience with Amazon Sagemaker.

5+ years of experience scaling and deploying Machine Learning models.

Experience using LLMs.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

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 provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.