Key skills
AWS DynamoDBAWS EBSAWS EFSAWS FSxAWS GlacierJavaKotlinDistributed SystemsRESTful APIsgRPCEvent-driven ArchitecturesAWS IAMAWS KMSAWS VPCAWS PrivateLinkAWS Route 53ShardingPartitioningLoad BalancingAWS SNSAWS SQSAWS KinesisApache KafkaCloudWatchOpenTelemetryPrometheusGrafanaData EncryptionTLSTerraformAWS CloudFormationAWS CDKGitHub ActionsAWS CodePipelineJenkinsDockerKubernetesAWS EKSAWS LambdaAWS FargateKafkaUnit TestingAWSServerlessEKSFargateCloudFormationLambdaDynamoDBIAMSNSSQSKinesisCodePipelineRESTfulGitHubCachingPerformance OptimizationAtlassianAgileCI/CDMentoringCollaboration
About this role
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