Software Engineer

Atlassian•Seattle, WA

4d•$123,300 - $192,700•Hybrid

About The Position

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.

Requirements

3-5 years of backend engineering experience with distributed systems and data-heavy platforms
Ownership and delivery – You handle complex tasks and small projects autonomously, ensuring high quality and maintaining proactive communication throughout the process. You follow through on your commitments, taking ownership of your work, ensuring timely delivery and alignment with team goals.
Technical proficiency – You're skilled at writing high-quality code that is well-structured, appropriately flexible, reusable, efficient, and adaptable to changing requirements. You're proficient in the team's codebase and its associated languages, tools, libraries, idioms, and patterns. Your code reviews contribute and apply the high quality standard of the team.
Collaboration and influence – You embrace change, navigate ambiguity, and adapt quickly to it. You collaborate with your team and others to navigate complex and ambiguous situations. You actively contribute to decisions that impact the team and use data to measure the impact of features you deliver.

Responsibilities

Strong backend engineering experience with JVM-based languages (Java, Kotlin preferred)
Experience with data-heavy platforms and streaming architectures – Hands-on work with technologies like Kafka, Kinesis, SQS, Flink or similar event streaming systems. You should understand patterns like change data capture (CDC), backpressure management, delivery semantics, and how to build resilient data pipelines that maintain consistency across distributed systems.
Proven ability to operate and optimize systems at scale – Experience designing for high throughput and low latency complex distributed workflows.
Multi-cloud or cloud-native infrastructure experience (AWS, GCP, or both) – Familiarity with deploying and operating services across cloud providers, understanding cloud primitives (S3, object storage, message queues), infrastructure-as-code, and building platform capabilities that enable self-service for internal teams.