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DDN

Staff Engineer, Replication

LocationRemote - North Carolina
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentDepartment
Company size1,001–5,000 people
PostedOct 1, 2026 · 1w ago
Verified live4h ago
At a glanceSummarised by Seekless from the posting.
Must have11
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
Nice to have7
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
Skills
C++
Go
Java
Rust
TCP/IP
HTTP/HTTPS
TLS
REST API
multi-threading
distributed systems
About the role
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
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