Staff Replication Development Engineer

DDN

Staff Replication Development Engineer designing and developing enterprise-grade replication systems for AI data platform. Focused on reliable and secure disaster recovery for large-scale data systems.

Posted 5/7/2026full-timeRemote • California • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Distributed SystemsGoJavaRustTCP/IP

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C++GoJavaRustmulti-threadingconcurrencyparallel processingdata replication systemsREST APIsdata integrity mechanisms

Soft Skills

technical leadershiparchitectural guidancementorshipproblem-solvingdebuggingcollaborationcommunication