Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian Software Engineer Intern will join an R&D team to design, code, and ship features, work on full lifecycle product development, and apply data structures, algorithms, and object-oriented programming under senior engineer mentorship during a 12-week paid program.
Top Skills:
CC++JavaPython
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and deploy machine learning and predictive models to solve product and growth problems. Translate business problems into technical solutions and deliver reliable, low-bug software artifacts. Collaborate with cross-functional partners on feature engineering, experimentation, and data pipelines to create measurable product value.
Top Skills:
PythonScalaSparkSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Contribute to analytics and data science projects: design and analyze experiments, measure product impact, build data-driven recommendations, present insights to leadership, and partner with cross-functional teams to improve customer experience.
Top Skills:
PythonRSQL
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.
Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle. We call this TEAM anywhere .
As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure. You will be responsible for developing distributed storage systems, APIs, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage. Your work will directly impact system reliability, scalability, and cost efficiency.
You will collaborate closely with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns. You will drive performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. Additionally, you will contribute to infrastructure automation, security best practices, and monitoring strategies using tools like Terraform, CloudWatch, Prometheus, and OpenTelemetry.
In this role, you will also be responsible for troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness. You will mentor junior engineers, participate in design reviews and architectural discussions, and advocate for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development. Your contributions will directly impact the organization's ability to scale its storage infrastructure efficiently while maintaining security, reliability, and compliance with industry standards.
Basic Requirements
Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle. We call this TEAM anywhere .
As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure. You will be responsible for developing distributed storage systems, APIs, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage. Your work will directly impact system reliability, scalability, and cost efficiency.
You will collaborate closely with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns. You will drive performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. Additionally, you will contribute to infrastructure automation, security best practices, and monitoring strategies using tools like Terraform, CloudWatch, Prometheus, and OpenTelemetry.
In this role, you will also be responsible for troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness. You will mentor junior engineers, participate in design reviews and architectural discussions, and advocate for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development. Your contributions will directly impact the organization's ability to scale its storage infrastructure efficiently while maintaining security, reliability, and compliance with industry standards.
Basic Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- 5+ years of experience in backend software development in Java, Kotlin
- 3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
- 3+ years of experience in designing and developing distributed systems or high-scale backend services.
- Experience working in agile environments following DevOps and CI/CD best practices.
- Experience building high-performance, scalable micro-services, RESTful APIs, gRPC, and event-driven architectures.
Atlassian Australia Office
Atlassian Australia Office
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