Senior Backend Software Engineer

Atlassian is a company focused on unleashing the potential of every team through their software products. They are seeking a Senior Backend Software Engineer who will design, build, and optimize high-performance backend storage solutions on AWS cloud infrastructure, while also collaborating with various teams to improve storage efficiency and system reliability.

Responsibilities:

• Designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure
• Developing distributed storage systems, APIs, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage
• Collaborating closely with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns
• Driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like DynamoDB, EBS, EFS, FSx, and Glacier
• Contributing to infrastructure automation, security best practices, and monitoring strategies using tools like Terraform, CloudWatch, Prometheus, and OpenTelemetry
• Troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness
• Mentoring junior engineers, participating in design reviews and architectural discussions, and advocating for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development

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 (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 Java or Kotlin
• Experience working in agile environments following DevOps and CI/CD best practices
• Strong Backend Development Skills
• Proficiency in Java for backend development
• Experience building high-performance, scalable microservices and APIs
• Strong understanding of RESTful APIs, gRPC, and event-driven architectures
• Experience with AWS Storage Technologies
• Hands-on experience with AWS 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
• 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
• 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)
• 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
• 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)
• 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
• 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