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.

Our office is in Bellevue, WA, but we offer flexibility for eligible candidates to work remotely across the West US. 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.

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.

• 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.

• Strong programming skills in Kotlin

• Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

1. Strong Backend Development Skills

   • Proficiency in Kotlin, Java for backend development.

   • Experience building high-performance, scalable microservices and APIs.

   • Strong understanding of RESTful APIs, gRPC, and event-driven architectures.

2. Experience with AWS Storage Technologies

   • Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.

   • Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.

   • Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.

3. Distributed Systems & Scalability

   • Solid understanding of distributed databases, storage consistency models, and caching mechanisms.

   • Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.

   • Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.

4. Performance Optimization & Cost Efficiency

   • Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.

   • Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.

   • Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).

5. Security & Reliability

   • Experience implementing data encryption at rest and in transit using AWS KMS or TLS.

   • Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).

   • Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.

6. Hands-On with Infrastructure as Code (IaC) & DevOps

   • Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.

   • Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.

   • Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).

7. Troubleshooting & Production Support

   • Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.

   • Experience using observability and tracing tools to monitor storage workloads.

   • Ability to triage and resolve production incidents in large-scale backend systems.

8. Collaboration & Engineering Best Practices

   • Strong experience in code reviews, unit testing, and API contract enforcement.

   • Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.

   • Good documentation habits for ensuring architecture decisions and design patterns are well-documented.