DDN: Data Intelligence Platform Built for AI logo

Staff Engineer, Replication (Remote)

DDN: Data Intelligence Platform Built for AI
Remote
RemoteNorth Carolina· about 1 hour ago

Straight from DDN: Data Intelligence Platform Built for AI’s careers page. Apply on the company site — no recruiter, no middleman.

Staff Engineer, Replication

Department: Department

Location: Remote - North Carolina

Employment Type: FullTime

 

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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