We are looking for an engineer who is passionate about scaling Cloud services to join our growing Confluence SRE team. The Confluence SRE team owns the infrastructure, tooling and automation that Confluence Cloud runs on (compute, databases, queues and caches) and has a deep understanding of how Confluence Cloud leverages infrastructure to meet customer reliability expectations.
We'd love it if you had an understanding of modern Cloud infrastructure, programming expertise, operational experience and a desire to change the status quo. We're looking for an engineer who can analyse and help improve our services and processes to get us to an even higher level of reliability, performance, scalability, and cost efficiency.
You will report directly to the Engineering Manager.
We'd love it if you had an understanding of modern Cloud infrastructure, programming expertise, operational experience and a desire to change the status quo. We're looking for an engineer who can analyse and help improve our services and processes to get us to an even higher level of reliability, performance, scalability, and cost efficiency.
1+ years experience operating high-availability, fault-tolerant, scalable, distributed software in production.
1+ years of hands-on experience with public cloud offerings (AWS components like EC2, CloudFormation, RDS / Aurora, Caches, SQS).
Familiarity with Unix / Linux operating systems.
Experience in troubleshooting, debugging & improving code, and automating routine tasks.
Backend engineering experience in at least one or more prominent languages such as Java, Go or Python.
Good communication skills in written and verbal forms, and an ability to communicate complex technical issues to a range of technical and non-technical audiences (management, peers, clients)
Background in Site Reliability or Infrastructure engineering.
It would be great, but not mandatory if you had:
Experience in datastores (RDBMS, time-series-database, NoSql, search, analytics).
Experience in microservice architecture.
Experience building web-services and clients using REST/GraphQL.