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About the Role
As a Principal Machine Learning Systems Engineer on the Search Platform team, you will set the technical direction for search infrastructure powering Rovo, Jira, Confluence, and the broader Atlassian AI platform. You will operate with broad organizational influence, driving outcomes across teams and functions without relying on positional authority.
Responsibilities
- Define and champion the multi-year technical roadmap for search serving, vector infrastructure, and agentic retrieval.
- Identify architectural inflection points and build organizational consensus around the right path forward.
- Influence peers, partner teams, and stakeholders by framing problems compellingly and co-authoring shared technical strategies.
- Create forums for idea evaluation, such as deep dives, design reviews, and working groups.
- Navigate ambiguity and competing priorities across multiple product teams to keep critical cross-functional programs on track.
- Own the technical strategy for retrieval systems that ground Rovo agents and AI workflows.
- Anticipate how agentic use cases will stress existing search architecture and proactively design for those requirements.
- Set the standard for production ML serving, cost discipline, and reliability across the search stack.
- Drive FinOps-oriented decisions to deliver material infrastructure savings without sacrificing SLO targets.
- Raise the technical bar across the organization through code review, design feedback, and mentoring senior engineers.
Requirements
- Technical credibility, clear reasoning, and the ability to make complex tradeoffs legible to engineers, product managers, and senior leadership.
- Ability to navigate ambiguity and competing priorities across the Search Platform, ML Platform, AI Gateway, and Rovo product teams.
- Experience with production ML serving, cost discipline, and reliability.
- Experience with FinOps-oriented decisions such as vector cluster right-sizing and query embedding caching.
- Experience with code review and design feedback.
- Experience sponsoring the growth of senior engineers toward principal-level impact.
Skills
- Search infrastructure
- Machine Learning Systems Engineering
- Technical Vision
- Cross-Team Leadership
- Search serving
- Vector infrastructure
- Agentic retrieval
- Retrieval systems
- RAG infrastructure
- Platform Scalability
- Operational Excellence
- ML serving
- Cost discipline
- Reliability
- FinOps
- Mentorship
Location
- Any country where Atlassian has a legal entity
Work Type
- Office, home, or a combination of the two
Experience Level
- Principal
Salary/Compensations
- Zone A: $209,700 - $273,775
- Zone B: $188,730 - $246,398
- Zone C: $174,051 - $227,233
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- 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.
Equal Opportunity
- 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.
- We can support with accommodations or adjustments at any stage of the recruitment process.
- Identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.