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