Senior Storage Software Engineer, DGXC Data Services

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Create storage technologies, client libraries, and filesystem frameworks that enable AI workloads to access data from object stores, file systems, and hybrid cloud infrastructures.

• Develop high-performance storage pathways for training and inference processes, including data loading, checkpointing, caching, POSIX-style access, and integration with object stores.

• Build observability systems to identify storage bottlenecks, attribute GPU idle time to I/O activities, and provide actionable telemetry through production monitoring systems.

• Enhance the performance, scalability, and reliability of storage systems that handle large datasets, complex directory structures, and high-concurrency AI workloads.

• Collaborate closely with internal AI teams, platform teams, SRE, and operations to validate storage performance against real workloads and in production settings.

• Employ modern software engineering practices, including AI-assisted and agentic development workflows, while upholding high standards for design, testing, security, performance, and verification.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience, along with 5+ years of software engineering expertise.

• Solid understanding of algorithms, data structures, distributed systems, operating systems, and practical software design principles.

• Experience in developing performance-sensitive systems, storage solutions, backend, or cloud-native software using languages such as Go, Python, Rust, C/C++, or Java.

• Familiarity with storage systems, object stores, caching mechanisms, Linux systems, Kubernetes, or cloud infrastructure.

• Ability to analyze performance, scalability, concurrency, reliability, and operational trade-offs in production environments.

• Capable of designing APIs, documenting systems, communicating effectively, and deconstructing ambiguous infrastructure challenges into actionable plans.

• Genuine curiosity and sound judgment regarding AI-assisted or agentic engineering workflows, including the use of clear intent, specifications, acceptance criteria, tests, and verification to direct development.

🏝️ Benefits

• Equity

• Benefits