Senior Software Engineer (Storage)

Kforce has a client in Secaucus, NJ that is seeking a Senior Software Engineer (Storage). Summary: The ideal candidate will possess deep expertise in backend development, distributed systems architecture, data consistency models, replication strategies, fault tolerance, and cloud-native technologies. You should be able to articulate real-world experience designing storage solutions and explain concepts such as consistency guarantees, replication behavior, sharding, and distributed system scalability. Key Responsibilities:

• Design, develop, and maintain high-performance, scalable, and reliable backend services supporting distributed storage platforms
• Build solutions that address data availability, consistency, replication, and fault tolerance requirements
• Participate in architecture discussions and contribute to system design decisions for distributed systems
• Troubleshoot complex production issues, perform root cause analysis, and provide operational support
• Participate in on-call rotations and support critical production systems
• Collaborate with globally distributed engineering teams across multiple time zones
• Optimize system reliability, performance, and scalability through continuous improvement initiatives
• Develop and maintain RPC-based services and high-throughput backend components
• Expert-level backend development experience using Rust
• Working knowledge of Golang, Java, and Python
• Familiarity with C/C++ and the ability to understand and troubleshoot systems built in these languages
• Experience delivering production-grade services in large-scale environments

Direct experience building, designing, or operating distributed storage systems or storage platform components, including:

• Data consistency models and associated trade-offs
• Replication strategies and fault tolerance mechanisms
• Data partitioning and sharding architectures
• Routing, resharding, and scalability approaches
• Distributed systems behavior under failure scenarios
• High-availability storage system design principles

Strong foundation in Data Structures and Algorithms:

• Trees, graphs, hash tables, heaps
• Dynamic programming
• Algorithmic problem solving

Proven experience designing:

• Distributed systems
• Highly available services
• Scalable backend architectures
• Fault-tolerant platforms

Deep understanding of:

• Multi-threading
• Asynchronous programming
• Concurrency models
• Thread synchronization patterns
• Performance optimization in concurrent systems

Experience designing and implementing RPC-based services using technologies such as:

• gRPC
• Apache Thrift
• REST APIs alone do not satisfy this requirement

Service discovery solutions such as:

• Consul
• ZooKeeper

Service mesh technologies such as:

• Envoy
• Istio
• IPv6 networking concepts and implementation
• Microservices and distributed service environments