Staff Engineer, Replication
At DDN · Remote - North Carolina; Raleigh, North Carolina, United States
- Engineering
- Full-time
- Staff or principal
Where you can work from
Open to the United States
“Remote - North Carolina”
From the location.
“Raleigh, North Carolina, United States”
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- Posted
- 1 October 2026
- First seen by us
- 15 October 2026
- Last checked
- 17 hours ago
Job description
From DDN’s job post, as they wrote it.
DDN is seeking a Staff Replication Development Engineer to lead the design and development of the replication engine for the Infinia AI Data Platform. This role focuses on building enterprise-grade asynchronous replication capabilities that enable reliable and secure disaster recovery for large-scale data systems.
You will work on developing high-performance replication pipelines, efficient data synchronization mechanisms, and secure data transfer systems. This role requires deep expertise in distributed systems and strong technical leadership to deliver a scalable and resilient replication foundation.
Read the full description
Key Responsibilities
* Design and develop multi-threaded asynchronous replication systems with parallel streaming capabilities
* Build object-level delta replication with checkpointing and resume functionality
* Develop replication engines supporting bucket/share-level replication controls
* Implement secure data transfer mechanisms using TLS 1.3 with mutual authentication
* Ensure end-to-end data integrity through checksum validation and verification pipelines
* Design and implement manual failover workflows for disaster recovery scenarios
* Build and maintain REST APIs for replication configuration, control, and automation
* Develop metadata tracking and change detection systems to enable efficient replication
* Implement RPO visibility, alerting, and operational insights for replication status
* Contribute to monitoring dashboards focused on replication health and performance
* Ensure systems are designed for high availability, fault tolerance, and scalability
* Partner with QA teams to drive performance, resiliency, and scale validation
* Collaborate with backend, security, and platform teams to deliver end-to-end replication workflows
* Participate in debugging, production issue resolution, and continuous improvement of replication reliability
* Provide technical leadership, architectural guidance, and mentorship to the engineering team
Required Qualifications
* 8+ years of experience in distributed systems, storage systems, or backend software engineering
* Strong programming skills in one or more languages: C++, Go, Java, or Rust
* Experience designing and building data replication systems, data pipelines, or distributed data services
* Deep understanding of distributed systems concepts (consistency, availability, scalability, fault tolerance)
* Strong expertise in multi-threading, concurrency, and parallel processing
* Knowledge of networking protocols and secure communication (TCP/IP, HTTP/HTTPS, TLS)
* Experience implementing data integrity mechanisms (checksums, validation, consistency checks)
* Experience designing and building REST APIs and service-based architectures
* Familiarity with checkpointing, failure recovery, and retry mechanisms in distributed systems
* Basic understanding of observability concepts (metrics, logging, alerting)
* Strong debugging, problem-solving, and system design skills
Preferred Qualifications
* Experience with asynchronous replication, disaster recovery (DR), or backup systems
* Familiarity with object storage or large-scale data storage systems
* Knowledge of delta encoding, change data capture, or incremental data synchronization techniques
* Experience building high-throughput, low-latency data movement systems
* Exposure to security practices including mutual TLS, encryption, and authentication
* Experience working on enterprise-scale data platforms or storage products
* Familiarity with performance optimization and large-scale system tuning
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