Senior Software Engineer, Object Storage

Highlights

• Design distributed storage for data-intensive AI workloads at exabyte scale.
• Improve reliability, durability and observability of managed storage products.
• Collaborate across infrastructure and platform to power demanding AI workloads.

What they offer

• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Ideal candidate

Curious, ownership-driven engineer who loves pushing expertise boundaries and mentoring others. Fascinated by distributed storage for AI/ML and building resilient, high-performance systems that scale with demanding workloads.

Requirements

• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field
• 6+ years of experience working in storage systems engineering or infrastructure
• Strong hands-on experience with object storage or distributed filesystems in production environments
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar
• Proficiency in a systems programming language such as Go, C, or Rust
• Proficiency leveraging AI tools to augment software development
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures