Senior Software Engineer — File System

Responsibilities

• Design, implement, test, and operate major components of Nasuni’s distributed file system and data path infrastructure.
• Write high-performance C/C++ for kernel-adjacent and user-space storage systems.
• Improve file system behavior across snapshots, caching, faulting, eviction, metadata handling, and recovery paths.
• Build and harden NFS, SMB, and S3 access layers with attention to protocol correctness, performance, and operational edge cases.
• Develop highly available storage services using Kubernetes-based patterns for failover, replication, scheduling, stateful workloads, and recovery.
• Contribute to distributed system design involving consistency models, metadata coordination, failure handling, and multi-volume behavior.
• Partner with adjacent engineering teams to deliver software that is observable, upgradeable, testable, and production-ready.
• Lead code reviews, design reviews, incident follow-up, and technical alignment within your areas of ownership.
• Use AI tools for code assistance, test generation, log analysis, debugging, documentation, or workflow automation while validating correctness, security, and performance before adoption.
• Mentor engineers and raise the quality bar for systems design, code quality, testing, and operational readiness.

Requirements

• 7+ years of professional software engineering experience, including significant systems programming experience.
• Strong C or C++ expertise, including memory management, concurrency, debugging, profiling, and performance-sensitive code.
• Hands-on experience designing, building, or operating distributed systems in production.
• Practical understanding of consistency, availability, failure modes, replication, recovery, or distributed metadata.
• Experience with file systems, storage engines, databases, operating systems, kernel-adjacent software, or similar infrastructure.
• Familiarity with at least one protocol or storage interface such as NFS, SMB, S3, POSIX, FUSE, or object storage APIs.
• Ability to own complex technical work from design through production delivery.
• Strong written communication skills for design docs, reviews, remote collaboration, and operational handoffs.

Nice-to-Haves

• Experience with cloud-native storage, object storage backends, or hybrid cloud infrastructure.
• Experience operating stateful services on Kubernetes, including scheduling, resource management, operators, failover, or upgrade patterns.
• Background with HA design, leader election, distributed locking, replication state machines, or recovery workflows.
• Familiarity with Linux kernel internals, VFS, inode structures, POSIX semantics, FUSE, or eBPF.
• Experience with storage benchmarking, workload characterization, structured logging, metrics, tracing, or production debugging.
• Experience using AI-assisted engineering tools for code generation, unit tests, debugging, documentation, log analysis, or workflow automation with appropriate validation.
• Prior ownership of production file system, storage, database, distributed metadata, or protocol-layer components at scale.
• Deep experience with NFSv4, SMBv3, multi-protocol file access, or enterprise storage systems.
• Demonstrated ability to improve reliability, performance, or operability for customer-facing infrastructure.
• Experience mentoring engineers in systems design, concurrency, debugging, testing strategy, and operational excellence.
• Strong AI fluency in engineering workflows, including structured prompting, validation through tests and benchmarks, and sound judgment about when not to use AI-generated output.