Staff Engineer, Replication

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