The role involves tackling complex problems using ML, collaborating with cross-functional teams, delivering data-driven solutions, and mentoring juniors.
Working at Atlassian
Atlassians can choose 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.
On your first day, we'll expect you to have:
It would be great, but not required:
Atlassians can choose 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.
- Regularly tackle the largest and most complex problems in the team, from technical design to launch.
- Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams.
- Deliver solutions that are used by other teams and products.
- Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group.
- Exceptional problem solving ability using ML, AI and core software engineering.Routinely tackle complex architecture challenges and define architectural standards.
- Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas.
- Expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decision-making.
- Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
- Mentor junior members on the team.
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/tools along with prompt engineering.
- 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 leveraging LLMs effectively and optimizing model usage on GPUs.
- Experience with Databricks or Apache Spark.
- Experience with Continuous Delivery and Continuous Integration.
It would be great, but not required:
- Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
- Experience with Amazon Sagemaker.
- Experience with scaling and deploying Machine Learning models.
Top Skills
Spark
AWS
Databricks
Java
Kotlin
Python
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