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.

They’re hiring a Distributed Systems Engineer to work across the stack building next-generation storage capabilities. This is a highly technical role with significant influence over architecture, infrastructure design, and product direction. It’s ideal for someone who loves systems from first principles and wants to build core infrastructure – not just consume it.

Key Responsibilities

• 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.

Key Qualifications

• 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.