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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.
The Measurement & Insights (M&I) team is part of the Dev Infra organisation. Our mission is to deliver reliable, accurate, and actionable metrics end-to-end. Our FY27 focus is specifically on AI-usage telemetry.
This role is for one of our pillars of work called Metric RCA (Root cause analysis), covering mainly 2 topics:
Remediation: Canonical dashboards/alerts, data replay and automated RCA to resolve metric anomalies.
Prevention: Synthetic end-to-end testing and deployment-integrated metric signals that catch regressions before they reach production.
What you'll work on
Build and maintain monitoring dashboards and automated RCA processes for AI-related metrics
Develop data replay capabilities to reconstruct and validate metrics
Design and implement unified alerting across metric streams
Build synthetic test infrastructure for metric signal validation
Integrate metric quality signals directly into deployment pipelines
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Candidate expectations
Strong backend or data engineering fundamentals
Experience building data pipelines, ETL systems, or observability tooling
Comfort working with SQL and large-scale data systems
A data quality mindset - you care about accuracy, reliability, and trust in metrics
Ability to work autonomously across a cross-functional, distributed team
Keen interest in open source and learning new technologies
Understanding of how to build performant, decoupled, testable, maintainable code
Enjoyment of sharing knowledge with teammates, and working collaboratively when you need help
Even better if you have
Experience working on platform teams
Experience with building, running and monitoring systems on AWS, with a focus on capacity management and troubleshooting platforms at scale
Exposure to data processing and/or analysis - our systems produce and process a large amount of data points every day
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit .
About Atlassian
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.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, 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.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Job ID: 153706335
Skills:
Software Development Lifecycle, Version Control Systems, Agile Methodologies, Collaborative development tools, Oracle Procedural Language Extensions to SQL PLSQL, Database design principles, Efficient queries and stored procedures
Skills:
Spring Boot, Java, Oracle, Terraform, Ec2, AI-assisted software development tools, AWS Elastic Kubernetes Service
Skills:
Apis, Web Services, Power Bi, Power Automate, SQL Server, Azure Logic Apps, Visual Studio, Azure DevOps, DMF Data Migration Framework, Power Apps, Dataverse, Power Platform tools, Microsoft Dynamics 365 F O
Skills:
Java, Continuous Integration, RDBMS, MySQL, Data Structures, Algorithm Design, Mvc, Python, AWS, Complexity Analysis
Skills:
.NET, Asp .net, Java, SQL Server, Visual Studio, Sql, HTML, Vsts, Iis, Xml, Ajax, Vss, Windows Server OS