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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 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.
- 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.
Core Requirements
1. 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.
2. 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.
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.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $176,400 - $230,300
Zone B: $159,300 - $207,975
Zone C: $146,700 - $191,525
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
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 go.atlassian.com/perksandbenefits .
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.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field.
- 5+ years of experience in backend software development.
- 3+ years hands-on experience with AWS cloud services, particularly AWS storage technologies (DynamoDB, EBS, EFS, FSx, Glacier).
- 3+ years experience 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.
- Experience building high-performance, scalable microservices and APIs (RESTful, gRPC, event-driven architectures).
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) to optimize storage performance.
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing for storage-heavy applications.
- Familiarity with event streaming: AWS SNS, SQS, Kinesis, or Kafka.
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience implementing cost-efficient storage solutions: tiering, lifecycle policies, data deduplication.
- Knowledge of monitoring and benchmarking tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
- Experience using Terraform, CloudFormation, or CDK for infrastructure as code.
- Familiarity with CI/CD pipelines for backend deployments (GitHub Actions, CodePipeline, Jenkins).
- Experience with containerization and orchestration (Docker, Kubernetes EKS) and serverless (Lambda, Fargate).
- Strong debugging and production support skills for storage failures, latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads and triage incidents.
- Experience in code reviews, unit testing, documentation, and mentoring junior engineers.
Atlassian Compensation & Benefits Highlights
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Parental & Family Support — Parental leave is described as up to 26 weeks for birthing parents and 20 weeks for non‑birthing parents, with inclusive family‑formation coverage. Support extends to fertility, adoption, surrogacy, tissue preservation, menopause/low‑testosterone, and resources for neurodiverse families.
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Leave & Time Off Breadth — PTO is presented as flexible or "unlimited" in practice alongside five paid volunteer days and charitable donation matching. Additional options like sabbaticals after five years and various leave programs broaden time‑away support.
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Flexible Benefits — A remote‑first "Team Anywhere" model provides a monthly remote‑work allowance, ergonomic support, and limited periods to work outside the designated location. A configurable Flex Wallet and learning budget enable personalization of benefits and resources.
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What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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