Senior Software Engineer

Senior Software Engineer - Trusted Data Platform

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.

This role can be based remotely or from an Atlassian office where eligible. 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.

8+ years of experience in backend software development

Proficiency in Kotlin or 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 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

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

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit .

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

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