Jobs · Engineering · Massachusetts

System Development Engineer, Elastic Disaster Recovery, AWS Elastic Disaster Recovery

Amazon Web Services (AWS) · Boston, MA · 2 wk ago
EngineeringFull-time

Key job responsibilities

  • Operational automation: Design and build software that automates infrastructure provisioning, deployments, and recurring operational workflows, reducing manual effort and on-call burden across the DRS fleet.
  • Cross-platform support: Develop and maintain tooling that works reliably across a wide range of operating systems (various Linux distributions and Windows) and both x86/64 and ARM64 (Graviton) architectures.
  • Monitoring and resilience: Implement monitoring, alarming, and self-healing systems to detect and remediate issues before they impact customers' replication and recovery operations.
  • Scaling and performance: Tune and scale the systems behind continuous replication, capacity management, and recovery orchestration to handle growth gracefully.
  • Security and compliance: Partner with security teams to harden the service and remediate findings, ensuring fixes are deployed consistently across the fleet.
  • Cross-team leverage: Build automation and tooling that serves multiple teams and raises the operational bar across DRS.

About the team

AWS Elastic Disaster Recovery (DRS) is a disaster recovery service provided by AWS that enables organizations to minimize downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications. DRS uses cost-effective AWS resources to maintain an up-to-date copy of source servers on AWS, allowing for point-in-time recovery and failback to the primary site after an issue is resolved.

Basic Qualifications

  • Experience in automating, deploying, and supporting large-scale infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix
  • Experience with CI/CD pipelines build processes

Preferred Qualifications

  • Experience with distributed systems at scale

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