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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
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