Distributed Systems Engineer

We're working with an early-stage, venture-backed infrastructure startup building a radically more efficient approach to cloud storage. Their platform enables data teams to reduce storage costs by up to 90% by transforming object storage into high-performance, locally accessible file systems - eliminating costly data movement for AI training, analytics, genomics, and financial workloads., * Design and implement novel storage capabilities that push the boundaries of cloud-based file systems.

• Architect distributed systems interactions with strong guarantees around atomicity, idempotency, and correctness.
• Deploy and generalize infrastructure across multiple cloud providers.
• Own production reliability, including debugging complex cross-system issues using logs and metrics.
• Operate effectively in ambiguous, fast-changing environments driven by evolving customer needs.
• Contribute meaningfully to architectural and product-level decisions.

• 2-6 years of experience building and operating distributed systems in production environments.
• Experience building cloud infrastructure (e.g., databases, storage engines, or core services) - not just applications that consume them.
• Professional experience in at least one low-level or systems language (C, C++, Rust, Go, OCaml).
• Strong foundation in distributed systems concepts (e.g., consensus, scaling challenges, API pitfalls).
• Proven debugging ability across multiple systems and services.
• Experience with on-call rotations for complex production systems.
• Background in startup or hyper-growth environments and/or top-tier large technology companies.
• Bachelor's degree in Computer Science or related discipline (top-tier academic background advantageous).
• Strong communication skills and comfort navigating ambiguity.
• Demonstrated intellectual curiosity about storage systems and the technical challenges this model presents.