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.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian Cloud Storage Engineering (ACSE) is composed of infrastructure teams tasked with developing and upkeeping the persistent data stores used by Atlassian's product and platform teams. The Managed Search team has set ambitious goals, including enhancing Search operational efficiencies company-wide, improving cluster reliability, cutting down the Total Cost of Ownership (Search TCO) across Atlassian, and enhancing Trust (Security & Compliance).
In pursuit of these goals, the Managed Search team is developing a self-hosted search platform for use within Atlassian, aiming to achieve the ACSE vision to improve the clock speed of Atlassian by providing reliable, secure and cost effective storage solutions.
Key Skills & Experience:
Technical:
Deep Elasticsearch/OpenSearch skills, including operating and tuning large clusters, implementing backup and recovery mechanisms, predicting and preventing cluster issues via monitoring, diagnosing and fixing unhealthy clusters, and implementing preventative solutions to avoid repeat failures.
Experience with a range of AWS services, their advantages and limitations, and understanding when to use specific services.
Experience building operationally mature systems with appropriate logging, monitoring, SLAs, alerting, and runbooks.
A high standard for quality software engineering (CI/CD, testing).
Experience progressively and safely rolling out changes to complex live systems.
Experience with Java/Kotlin.
Experience with Docker, Kubernetes.
Knowledge of Golang.
Experience with Micros or PaaS platform
Less technical:
Must be used to ownership of large deliverables and complex problems, and be able to do any of the following as appropriate to the situation:
clearly break up the work into smaller tasks to be carried out with the rest of the team