The Senior ML Engineer will develop and ship scalable features in a collaborative environment, mentor teammates, and ensure high performance of backend services.
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.
What you'll do
Your background
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.
What you'll do
- Build and ship features and capabilities daily in highly scalable, cross-geo distributed environment
- Be part of an amazing open and collaborative work environment with other experienced engineers, architects, product managers, and designers
- Review code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind
- Mentor and level up the skills of your teammates by sharing your expertise in formal and informal knowledge sharing sessions
- Ensure full visibility, error reporting, and monitoring of high performing backend services
- Participate in Agile software development including daily stand-ups, sprint planning, team retrospectives, show and tell demo sessions
Your background
- 6+ years of experience building and developing backend applications
- Bachelor's or Master's degree with a preference for Computer Science degree
- Experience crafting and implementing highly scalable and performant RESTful micro-services
- Proficiency in any modern object-oriented programming language (e.g., Java, Kotlin, Go, Scala, Python, etc.)
- Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra)
- Real passion for collaboration and strong interpersonal and communication skills
- Broad knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure)
- Familiarity with cloud architecture patterns and an engineering discipline to produce software with quality
Top Skills
AWS
Azure
Cassandra
DynamoDB
Gae
Go
Java
Kotlin
Oracle
Postgres
Python
Restful
Scala
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