Staff Replication Development Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 45d ago
The date the source published, not the day we noticed it (2026-07-31). Last seen at its source 2h ago.
Is it remote?
Remote - North Carolina
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
North Carolina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $195.5k–253k/yr
Middle 50% of 553 listings that do state pay — Engineering · Lead · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 32d ago · last seen 2h ago
The listing
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