Lead ML Systems Engineer, GenAI Platform

Atlassian; Northern (KY); Hybrid; USD 166,000 - 221,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits package

Job summary

Atlassian is seeking a Senior ML System Engineer for the GenAI Platform to build and maintain the infrastructure powering ML models and pipelines. You will enable ML teams to train, evaluate, deploy, and operate models at scale.

You will lead engineers on complex projects, collaborate across teams, and help shape architecture and outcomes for GenAI initiatives. Strong programming, distributed systems, and cloud experience are essential.

Qualifications

• 5+ years of experience as a software developer.
• Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
• Experience with Continuous Delivery and Continuous Integration.
• Experience building and operating large scale distributed systems using AWS services.
• Experience with distributed large-scale data processing (preferably Apache Spark).
• Basic understanding of Machine Learning projects lifecycle.

Responsibilities

• Lead other engineers to drive projects from design to launch.
• Collaborate with other teams and internal customers to set expectations and communicate results.
• Build and maintain core infrastructure to enable ML engineers and data scientists to train, evaluate, deploy, and operate ML models and pipelines.

Skills

5+ years experience

OO language fluency

CI/CD

Distributed systems (AWS)

Spark data processing

ML lifecycle basics

Tools

AWS (S3, Kinesis, CloudFormation, EKS)

Apache Spark

Databricks

Job description

Atlassian is seeking a Senior ML System Engineer for the GenAI Platform to build and maintain the infrastructure powering ML models and pipelines. You will enable ML teams to train, evaluate, deploy, and operate models at scale.

You will lead engineers on complex projects, collaborate across teams, and help shape architecture and outcomes for GenAI initiatives. Strong programming, distributed systems, and cloud experience are essential.