Systems Software Engineer - Object Storage

Quantum; Centennial (CO); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Quantum is seeking a Senior Object Storage Software Engineer based in Centennial, CO. This role focuses on designing and optimizing our object storage platform to handle high concurrency and ensure data integrity across large distributed systems.

The ideal candidate will have over 12 years of experience in software development, excellence in C/C++, and solid knowledge of distributed systems. A strong problem-solving mindset and the ability to collaborate remotely are essential.

Salary range starts at $130k and can reach $170k for qualified applicants.

Qualifications

• 12+ years of software development experience specifically using C/C++ or Rust.
• Strong experience with high-performance storage software design.
• Solid understanding of event-driven and asynchronous programming models.
• Strong Linux knowledge for system profiling and debugging.

Responsibilities

• Design and optimize the object request pipeline.
• Build and maintain data path components including routing and buffering.
• Implement distributed caching strategies for improved latency.
• Architect high-performance components for cluster services.

Skills

C/C++

Rust

Distributed systems

Linux debugging

Concurrency

Asynchronous programming

Problem-solving

Communication

Tools

Git

Jira

Kubernetes

AWS S3 API

Job description

Quantum

Senior Object Storage Software Engineer – Centennial, CO 80112, USA

Quantum has over 40 years of innovation in data platform engineering, providing enhanced intelligence and actionable insights. We are looking for a Senior Object Storage Software Engineer to design, implement, and optimize the object storage data path and core distributed services of our scale‑out object storage platform. This is a deep systems role for engineers passionate about low‑latency code paths, high concurrency, and distributed systems correctness at scale.

Key Responsibilities

• Design and optimize the object request pipeline for PUT/GET/DELETE and background operations, focusing on predictable latency, high throughput, and efficient CPU/memory usage in the critical path.
• Build and maintain data path components such as request parsing/validation, routing, throttling, buffering, streaming I/O, and zero‑copy / reduced‑copy transfers where applicable.
• Implement and tune distributed caching (read cache / metadata cache) and request coalescing strategies to reduce backend amplification and improve tail latency.
• Identify and eliminate bottlenecks end‑to‑end (network → CPU → storage), leveraging deep Linux profiling and systems debugging skills.

Core Object Services & Distributed Architecture

• Architect and evolve scale‑out services for object metadata, namespace/indexing, placement, and cluster membership/state required for large clusters.
• Design and maintain scalable, high‑performance components such as metadata management and data placement algorithms across multi‑node deployments.

Durability, Integrity & Resilience

• Implement and maintain durability features such as erasure coding, replication, background healing, snapshots (where applicable), thin provisioning concepts, and data scrubbing to deliver six nines class durability.
• Ensure correctness under failures: node loss, disk faults, partial writes, network partitions, and rolling upgrades—without compromising data integrity.

Concurrency, Locking & Correctness

• Solve high‑concurrency challenges in the object and metadata paths using robust synchronization strategies, lock minimization, and asynchronous execution models to maximize multi‑core CPU utilization.
• Apply careful correctness reasoning around ordering, idempotency, and race conditions in distributed request flows.

Scalability & Cluster Operations

• Ensure the object data path and background systems scale linearly as nodes are added, including rebalancing and reconstruction workflows that minimize customer‑visible impact.
• Collaborate cross‑functionally to integrate other platform components into the solution and operate effectively with remote teams.

Required Qualifications

• 12+ years of software development experience using C/C++, Rust (or equivalent systems‑level expertise).
• Strong experience with distributed systems and high‑performance storage software design.
• Strong Linux experience, including debugging, profiling, and performance analysis of complex systems.
• Solid understanding of concurrency, locking, and asynchronous programming models.
• Strong communication skills; ability to collaborate in a team environment and across functions; ability to work effectively with remote teams.
• Self‑motivated, able to identify and solve problems independently, creative problem‑solving mindset.
• Willing and able to come to our office in Centennial, CO during core business hours (Tuesday - Thursday 10am‑4pm).

Preferred / Nice‑to‑Have Skills

• Experience with the Linux I/O subsystem and networking.
• Experience with storage protocols, clustering design and development.
• Experience with containers and Kubernetes.
• Experience using Git and Jira.
• Experience with Amazon AWS S3 API, SDKs & Tools.
• Experience with AI tools or programming is a plus (especially for modern data pipelines and workload integration).

Salary

Anticipated Salary Range: $130,000 to $170,000 for qualified applicants.

Equal Opportunity Statement

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review Know Your Rights notice from the Department of Labor.

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