EngineeringHybrid

Staff Replication Development Engineer

DDN · Hybrid

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from DDN's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: Not listed by source
Location: Remote - California

Hiring context

How this role compares at DDN

DDN has 96 live roles in MeritLog’s catalog across 9 job families, and 57 of them are in engineering. 20 of those listings publish a pay range, a disclosure rate of 21%.

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Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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

What they're asking for

8+ years of experience in distributed systems, storage systems, or backend software engineeringExperience
Strong programming skills in one or more languages: C++, Go, Java, or RustSkill
Experience designing and building data replication systems, data pipelines, or distributed data servicesSkill
Deep understanding of distributed systems concepts (consistency, availability, scalability, fault tolerance)Skill
Strong expertise in multi-threading, concurrency, and parallel processingSkill
Knowledge of networking protocols and secure communication (TCP/IP, HTTP/HTTPS, TLS)Skill
Experience implementing data integrity mechanisms (checksums, validation, consistency checks)Skill
Experience designing and building REST APIs and service-based architecturesSkill
Familiarity with checkpointing, failure recovery, and retry mechanisms in distributed systemsSkill
Basic understanding of observability concepts (metrics, logging, alerting)Skill
Strong debugging, problem-solving, and system design skillsSkill
Experience with asynchronous replication, disaster recovery (DR), or backup systemsSkillPreferred
Familiarity with object storage or large-scale data storage systemsSkillPreferred
Knowledge of delta encoding, change data capture, or incremental data synchronization techniquesSkillPreferred
Experience building high-throughput, low-latency data movement systemsSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. 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

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