Atlassian
Senior ML System Engineer
$171K–$269K
Remote, Americas +5 · Senior · Full-time · Posted Oct 28, 2026
- Location
- Remote, Americas
Remote, Remote
San Francisco, United States
Austin, United States
Mountain View, United States or Remote
New York, United States - Experience
- 5+ years of experience as a software developer.
About the job
Build and maintain infrastructure that enables machine learning teams to develop, train, evaluate, deploy, and operate models and pipelines for Atlassian’s GenAI products.
What you'll do
- Develop and operate core ML platform infrastructure and solve complex infrastructure and architecture challenges.
- Lead engineering projects from technical design through launch.
- Collaborate with teams and internal customers to gather input, set expectations, and communicate results.
What they ask for
- Fluency in at least one modern object-oriented programming language.
- Experience with Continuous Delivery and Continuous Integration.
- Experience building and operating large-scale distributed systems using Amazon Web Services.
- Experience with distributed large-scale data processing.
Nice to have
- Java/Kotlin and Python; Apache Spark.
- Expertise in search or deep learning training/inference platforms; experience with Databricks or scaling and deploying Machine Learning models.
Pay
$206,100 - $269,075 USD base salary; $185,490 - $242,168 USD base salary; $171,063 - $223,332 USD base salary
Tools
Java/Kotlin, Python, Amazon Web Services, S3, Kinesis, Cloud Formation, EKS, Apache Spark
AI focus
Build infrastructure that powers GenAI products and supports machine learning model and pipeline development, training, evaluation, deployment, and operation.
Model-written summary · the original posting is authoritative