Lead Replication Engineer, Distributed Data Systems

DDN; Santa Clara (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

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.

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 debugging, problem-solving, and system design skills.

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

C++

Go

Java

Rust

Distributed systems

Multi-threading

Networking

Tools

TLS

Job description

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.