TL;DR

Senior Engineer Storage (System Engineering): Designing, building, and operating high-performance storage systems to support AI and cloud infrastructure with an accent on exabyte-scale object storage, distributed filesystems, and storage performance optimization. Focus on developing scalable, reliable storage solutions, improving observability, and collaborating cross-functionally to meet demanding AI workload needs.

Location: Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA with a hybrid work environment; remote work considered for candidates located more than 30 miles from an office.

Salary: $165,000–$220,000

Company

%hirify_global% is a publicly traded company providing cloud infrastructure optimized for AI workloads, trusted by leading AI labs, startups, and enterprises.

What you will do

Design and implement scalable storage solutions supporting AI and cloud infrastructure.
Develop exabyte-scale, S3-compatible object storage and integrate storage clusters.
Optimize storage performance using technologies like RDMA, GPU Direct Storage, SPDK, and distributed filesystems.
Improve reliability, durability, and observability of storage systems.
Collaborate with operations and engineering teams to monitor and troubleshoot production storage environments.
Mentor engineers and share best practices for distributed, high-performance systems.

Requirements

Must be a U.S. person or eligible to access export controlled information per U.S. Government regulations.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
6–10 years experience in storage systems engineering or infrastructure.
Hands-on experience with object storage, distributed filesystems, and storage protocols like S3 and NFS.
Proficiency in systems programming languages such as Go, C, or Rust.
Familiarity with cloud-native infrastructure, Kubernetes, and storage observability tools (Prometheus, Grafana).
Location: Must be based near or able to work hybrid from Livingston, New York, Sunnyvale, or Bellevue; remote work considered if >30 miles from office.

Nice to have

Experience with Ceph, DAOS, or similar distributed file systems.
Knowledge of telemetry pipelines and monitoring tools like ClickHouse.

Culture & Benefits

Comprehensive medical, dental, vision insurance fully paid by employer.
Company-paid life insurance and disability coverage.
Flexible spending and health savings accounts.
Tuition reimbursement and employee stock purchase program participation.
Paid parental leave and family-forming support.
401(k) with employer match and flexible PTO.
Casual work environment with catered lunch at office and data center locations.

Hiring process

Onboarding at one of the company hubs within the first month.
Quarterly team gatherings to support collaboration.