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
