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Dell Technologies Linkedin · Posted 16d ago

Systems Development Engineer 2 (ObjectScale)

Taipei

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Systems Development Engineer 2 (ObjectScale)

Our customers operate highly complex, mission-critical environments that demand deep technical expertise across hardware, software, and full-system architecture. As part of the Customer Engineering team, you will work at the intersection of system design, advanced diagnostics, and performance engineering. This includes analyzing integrated electronic and electro-mechanical systems, conducting feasibility and architecture evaluations, and developing specifications that ensure robust, predictable system behavior.

The Customer Engineering Team focuses on advanced root-cause analysis, performance optimization, configuration tuning, and long-term stability improvements. You will tackle the toughest technical challenges in enterprise environments-driving solutions that improve reliability, scalability, and overall system efficiency for global customers.

Join us as a Systems Development Engineer 2 (Escalating Engineer) on our Customer Engineering Team in Taipei, Taiwan.

What You'll Achieve

As a Systems Development Engineer 2, you will:

Key Responsibilities

  • Collaborate with core engineering teams, Customer Support, Incident Management, and customers to troubleshoot, stabilize, and optimize enterprise environments.
  • Perform advanced troubleshooting, root cause analysis (RCA), and kernel-level debugging across distributed software systems, enterprise infrastructure, and supported operating systems running on Dell hardware.
  • Leverage expertise in computer architecture and operating system internals to resolve complex technical issues, improve system resilience, and provide actionable recommendations to internal and external stakeholders.
  • Document technical findings and effectively communicate insights, resolutions, and strategic recommendations to both technical and executive audiences.
  • Build strong cross-functional partnerships to drive collaborative problem-solving and operational excellence.
  • Design and implement intelligent automation solutions using AI and emerging agentic technologies to improve productivity, efficiency, and service reliability.
  • Contribute to strategic initiatives that enhance operational efficiency, resilience, and scalability across the organization.
Requirements
  • Work Model: Onsite, 5 days a week (remote/hybrid not eligible).
  • Schedule: Weekend work on a rotational basis (comp days provided), occasional early/late shifts, and overtime as needed.
  • Experience:
    • 3+ years in software/hardware engineering (or equivalent) with deep expertise in one or more of the following:
    • Object storage
    • API / S3-compatible APIs
    • Linux/BSD operating systems
    • Networking and protocol stacks (SMB, NFS, etc.)
    • Filesystems
    • Docker/Containers
  • Technical Skills:
    • Hands-on troubleshooting experience with object storage platforms and distributed storage architectures.
    • Understanding data replication, resiliency, performance optimization, and storage protocols.
    • Strong knowledge of TCP/IP, DNS, HTTP/HTTPS, load balancing, proxies, and network troubleshooting.
    • Experience troubleshooting Java-based applications and microservices.
    • Ability to analyze application logs, thread dumps, heap dumps, garbage collection behavior, and performance bottlenecks.
    • Experience supporting and debugging REST APIs and service integrations.
    • Understanding of authentication mechanisms, authorization flows, API gateways, and service communication patterns.
    • Experience troubleshooting containerized environments using Docker and related technologies.
    • Strong Linux administration and debugging experience.
    • Ability to investigate processes, memory, CPU, filesystem, networking, and performance-related issues using standard Linux diagnostic tools.
  • Desirable Qualifications:
    • Proficiency in Java, C, Python, and scripting
    • Proven experience in developing automation frameworks and applying AI/agentic tools to drive operational efficiency and scalability
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