Senior Systems Development Engineer (ObjectScale)

Senior Systems Development Engineer (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 Senior Systems Development Engineer (Escalating Engineer) on our Customer Engineering Team in Taipei, Taiwan.

What You’ll Achieve As a Senior Systems Development Engineer, 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

8+ 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