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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Team: Core Engineering Reliability Team
- Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times.
- Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements.
- Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists.
- Serve as the data domain expert, mastering the details of our incident management infrastructure.
- Take full ownership of problems from ambiguous requirements through rapid iterations.
- Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues.
- Cultivate strong relationships between teams that produce data and those that build insights.
Minimum Qualifications / Your background:
- BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role
- 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.
- Proficiency in Python, SQL, and data platforms like DataBricks
- Proficiency in relational databases and query authoring (SQL).
- Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.
- Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization
- Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
- Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
- Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
- Well versed in modern software development practices (Agile, TDD, CICD)
Desirable Qualifications
- Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers.
- Familiarity working with datasets like Monitoring, Observability, Performance, etc..
Top Skills
What the Team is Saying
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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Atlassian Teams
Atlassian Offices
Remote Workspace
Employees work remotely.
Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.
