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.
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
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
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 Required
- 8+ years of experience in distributed systems, storage systems, or backend software engineering
- Strong programming skills in 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 TCP/IP, HTTP/HTTPS, TLS, and secure communication
- Experience implementing checksums, validation, and consistency checks
- Experience designing and building REST APIs and service-based architectures
- Familiarity with checkpointing, failure recovery, and retry mechanisms
- Basic understanding of metrics, logging, and alerting
- Strong debugging, problem-solving, and system design skills
- Experience with asynchronous replication, disaster recovery, or backup systems
- Familiarity with object storage or large-scale data storage systems
- Knowledge of delta encoding, change data capture, or incremental data synchronization
- Experience building high-throughput, low-latency data movement systems
- Exposure to mutual TLS, encryption, and authentication
- Experience with enterprise-scale data platforms or storage products
- Familiarity with performance optimization and large-scale system tuning
What We Do
DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.
