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Software Engineer – Object Storage

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: DDN
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Data Engineer, Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer – Object Storage
Location: Myrtle Point

Overview

Employer Industry: AI and Data Storage Solutions

Why consider this job opportunity
  • Opportunity to work with cutting-edge technology in AI and high-performance data storage
  • Potential for career advancement and leadership within a global market leader
  • Dynamic and collaborative work environment that encourages innovation
  • Chance to make a significant impact on the future of AI infrastructure
  • Competitive salary and benefits package
  • Participate in a culture that values engineering excellence and initiative
What to Expect (Job Responsibilities)
  • Define and manage the technical roadmap for the next-generation object storage platform
  • Design and implement core subsystems for object storage, focusing on performance and reliability
  • Solve complex challenges related to data concurrency, durability, and performance optimization
  • Collaborate with cross-functional teams to ensure end-to-end system reliability and operational excellence
  • Mentor engineers and lead architectural reviews to drive code quality and innovation
What is Required (Qualifications)
  • 10+ years of experience in distributed systems or storage engineering, particularly in object storage
  • Expertise in programming languages such as C/C++, Rust, or Go, with strong skills in performance profiling
  • Solid understanding of storage technologies including erasure coding and consistency protocols
  • Proven experience designing scalable systems with high availability and low latency
  • Experience in mentoring engineers and aligning technical work with product strategy
How to Stand Out (Preferred Qualifications)
  • Experience with high-performance storage in AI/ML data pipelines or HPC environments
  • Familiarity with cloud-native storage APIs and Kubernetes-based deployments
  • Understanding of hybrid storage architectures and file-to-object transition patterns
  • Contributions to open-source storage frameworks or experience in scalable storage startups

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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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