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Software Engineer – Object Storage
Job in
Myrtle Point, Coos County, Oregon, 97458, USA
Listed on 2026-01-12
Listing for:
DDN
Full Time
position Listed on 2026-01-12
Job specializations:
-
Software Development
Data Engineer, Software Engineer, AI Engineer
Job Description & How to Apply Below
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
- 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
- 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
- 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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