Staff Replication Systems Architect

Doist; North Carolina; Hybrid; USD 120,000 - 170,000; Full time

Job summary

DDN seeks a Staff Replication Development Engineer to lead the design and development of the replication engine for the Infinia AI Data Platform. You will build high-performance asynchronous replication capabilities that enable reliable disaster recovery and scalable data movement across large-scale data systems.

The role demands deep expertise in distributed systems, multi-threading, secure data transfer (TLS), and collaboration with backend, security, and platform teams to deliver end-to-end

Qualifications

• 8+ years of experience in distributed systems or backend software engineering.
• Proficient in one of: C++, Go, Java, or Rust.
• Experience designing data replication systems and distributed data services.
• Strong understanding of distributed systems concepts (consistency, availability, scalability, fault tolerance).
• Experience with multi-threading, concurrency and parallel processing.
• Knowledge of TLS and secure communication (TLS).
• Experience designing and building REST APIs and service-based architectures.

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.

Skills

Distributed systems

C++

Go

Java

Rust

Multi-threading

REST APIs

TLS security

Data replication

Troubleshooting

Job description

DDN seeks a Staff Replication Development Engineer to lead the design and development of the replication engine for the Infinia AI Data Platform. You will build high-performance asynchronous replication capabilities that enable reliable disaster recovery and scalable data movement across large-scale data systems.

The role demands deep expertise in distributed systems, multi-threading, secure data transfer (TLS), and collaboration with backend, security, and platform teams to deliver end-to-end