Engineering | Sydney, Australia | Remote, Remote | Full-Time
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.
OverviewWe're hiring a Senior Data Platform Engineer, reporting to the Engineering Manager for Customer Analytics Platform. You are either an expert Data Engineer with exposure to software engineering and cloud infrastructure or even a Software Engineer with a decent knowledge in analytical data platforms.
You have extensive knowledge of big data systems and are equally comfortable designing and developing high-quality software services. You will be part of the team developing and maintaining innovative solutions for Atlassians' data platform with a focus on reliability, scalability and performance.
This role is a unique opportunity to work in a fast-paced, challenging, and innovative environment with a high degree of problem-solving and the chance to create and implement innovative solutions for our business needs.
In this role, you will be joining a strong team of engineers with varied backgrounds ranging from backend engineers to core data engineers who are responsible for managing Atlassians customer facing data platform.
ResponsibilitiesDesign, develop and own delivery of high quality big data and software solutions aiming to solve business needs.Collaborate with cross-functional teams, senior engineers and architects across multiple disciplines to spar, design, and ship new features.Contribute to uplifting and maintaining high code quality through peer code reviews, defining and establishing coding standards/guidelines/best practices in the team.Establish and drive improvements to operational excellence - security, reliability, availability, performance, procedures and processes etc.Use data driven approach to drive decisions and propose technical solutions to navigate ambiguity and change, learn and adapt to changing landscape.Background5+ years of experience in Data/Software Engineering role with relevant exposure to the Big data ecosystems.Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).Expertise in handling complex problems in a distributed and big data environment.Experience building applications in one or more languages (Kotlin, Scala, Java, Python).Strong knowledge of AWS services.Experience in building services from the ground up – from gathering requirements, designing, building, deploying, and ownership.Familiarity with cloud architecture patterns and an engineering discipline to produce software with quality, performance, scalability, reliability, high availability, and operational excellence.Experience with any of the following - Databricks, Spark, EMR, Flink, StarRocks. #J-18808-Ljbffr
