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Principal Machine Learning Systems Engineer

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Atlassian

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Job Description:

Search Platform powers the search functionality in Atlassian products. The team is tasked with the mission to provide reliable Infrastructure, a consistent user experience while improving the accuracy of results. As Atlassian client base grows in number and content volume for clients grow, search is becoming an ever exciting and challenging engineering domain. This job requires strong software engineering skills: 80% engineering and 20% machine learning.

Job Responsibility:

  • Handle complex problems in the team from technical design to launch
  • Determine plans-of-attack on large projects
  • Solve complex architecture challenges and apply architectural standards and start using them on new projects
  • Lead code reviews & documentation and take on complex bug fixes, especially on high-risk problems
  • Set the standard for meaningful code reviews
  • Partner across engineering teams to take on company-wide programmes in multiple projects
  • Transfer your depth of knowledge from your current language to excel as a Software Engineer
  • Mentor junior members of the team

Requirements:

  • 10+ years experience in multiple hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycle
  • Worked on scaling ML use cases for 50+ TB of data
  • Good understanding of PySpark and Databricks jobs scaling challenges
  • Experience with ML workflows and observability at scale.
  • Bachelor's degree with a preference for Computer Science degree
  • Expertise with one or more prominent languages such as Java, Python, Kotlin, Go, or TypeScript is required.
  • Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, or Azure)
  • Java, Spring, REST, and NoSQL databases
  • Experience building event-driven based on SQS, SNS, Kafka or equivalent technologies
  • Knowledge to evaluate trade-offs between correctness, robustness, performance, space and time
  • Practice in mentoring other engineers and influencing decision makers throughout the organisation
  • Consider the customer impact when making technical decisions

Nice to have:

  • Understanding of data and model drift detection technologies
  • Experience in ElasticSearch, OpenSearch or other search engine technologies
  • Experience in Developer Experience or Developer Productivity
  • Proficiency in Java
  • Experience in at least one additional language
  • Experience in CI (Continuous Integration) and CD (Continuous Deployment)
What we offer:
  • Atlassians can choose where they work – whether in an office, from home, or a combination of the two
  • health and wellbeing resources
  • paid volunteer days

Additional Information:

Job Posted:
December 27, 2025

Work Type:
Remote work
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