DDN
Staff Replication Development Engineer
RemoteUnited States only
- Role
- Backend
- Experience
- Staff
- Employment
- Full-time
Salary not disclosedModel estimate · $185k–$235k/yrMedium confidence · 80 comparable rolesMedian $205k · Based on role, seniority, location, requirements, employment type, and work arrangement
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No BS summary
Staff-level backend/distributed systems engineer with 8+ years in distributed systems, storage systems, or backend software engineering. Needs strong C++, Go, Java, or Rust skills and experience building replication/data pipeline/distributed data services. Role is remote but tied to North Carolina.
Core skills
REST APIsReplication systemsDistributed systems
Required skills
C++/Go/Java/RustTCP/IPHTTP/HTTPSTLS
Optional skills
mutual TLSencryptionauthentication
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.
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
What you'll do
- 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
What they require
- 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 including consistency, availability, scalability, and fault tolerance
- Strong expertise in multi-threading, concurrency, and parallel processing
- Knowledge of networking protocols and secure communication including TCP/IP, HTTP/HTTPS, and TLS
- Experience implementing data integrity mechanisms including checksums, validation, and 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 including metrics, logging, and alerting
- Strong debugging, problem-solving, and system design skills
- Preferred: Experience with asynchronous replication, disaster recovery, or backup systems
- Preferred: Familiarity with object storage or large-scale data storage systems
- Preferred: Knowledge of delta encoding, change data capture, or incremental data synchronization techniques
- Preferred: Experience building high-throughput, low-latency data movement systems
- Preferred: Exposure to security practices including mutual TLS, encryption, and authentication
- Preferred: Experience working on enterprise-scale data platforms or storage products
- Preferred: Familiarity with performance optimization and large-scale system tuning
DDN is positioned as NVIDIA’s storage and data intelligence partner for AI factories and the NVIDIA AI Data Platform.
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