Software Engineer (Remote OK) based in Seattle, United States.
Overview At Atlassian, teammates can choose where they work—office, home, or a mix—so long as we meet our goals and deliver value. We hire people in countries where we have a legal entity.
Software Engineer (Remote OK) based in Seattle, United States.
Overview At Atlassian, teammates can choose where they work—office, home, or a mix—so long as we meet our goals and deliver value. We hire people in countries where we have a legal entity.
Responsibilities - Technical Skills: Strong backend engineering experience with JVM-based languages (Java, Kotlin preferred). Experience with data-heavy platforms and streaming architectures (Kafka, Kinesis, SQS, Flink, or similar) and understanding of patterns such as change data capture, backpressure management, delivery semantics, and building resilient data pipelines across distributed systems. - Proven ability to operate and optimize systems at scale, designing for high throughput and low latency distributed workflows. - Multi-cloud or cloud-native infrastructure experience (AWS, GCP, or both), including 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.
What you'll bring - 3-5 years of backend engineering experience with distributed systems and data-heavy platforms. - Ownership and delivery—handle complex tasks and small projects autonomously, ensuring high quality and proactive communication, with timely delivery and alignment with team goals. - Technical proficiency—write high-quality, well-structured, reusable code; be proficient in the team’s languages, tools, libraries, idioms, and patterns; your code reviews contribute to the team’s qua
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Responsibilities - Technical Skills: Strong backend engineering experience with JVM-based languages (Java, Kotlin preferred). Experience with data-heavy platforms and streaming architectures (Kafka, Kinesis, SQS, Flink, or similar) and understanding of patterns such as change data capture, backpressure management, delivery semantics, and building resilient data pipelines across distributed systems. - Proven ability to operate and optimize systems at scale, designing for high throughput and low latency distributed workflows. - Multi-cloud or cloud-native infrastructure experience (AWS, GCP, or both), including 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.
What you'll bring - 3-5 years of backend engineering experience with distributed systems and data-heavy platforms. - Ownership and delivery—handle complex tasks and small projects autonomously, ensuring high quality and proactive communication, with timely delivery and alignment with team goals. - Technical proficiency—write high-quality, well-structured, reusable code; be proficient in the team’s languages, tools, libraries, idioms, and patterns; your code reviews contribute to the team’s qua
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Based on: Software Engineer
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