System Engineer

Job description

Key Responsibilities:

Requirement/Design/Architecture

• Perform unified data analysis for requirements, monitoring, and evaluations to continuously enhance the system.
• Propose comprehensive technical approaches to address key architectural issues, especially in operating systems, Kubernetes, and networking configurations.

Deployment Design

• Contribute to the design of deployment strategies for new installations, updates, and upgrades.
• Ensure deployment designs align with enterprise standards to promote consistency and efficiency.

Total Cost of Ownership (TCO)

• Define test strategies for NFRs and determine hardware and infrastructure requirements that are scalable and cost-effective.
• Devise resource-efficient infrastructure solutions that optimize performance and cost for the enterprise.

Technology Roadmap

• Identify and implement optimal technology solutions based on current requirements and future roadmaps.
• Conduct thorough technology evaluations to drive innovation and ensure alignment across product lines.

Knowledge Sharing

• Participates in Communities of Practice (CoPs) to facilitate knowledge sharing across teams.
• Promote best practices for platform and product usage across different sites, driving consistency in approach.

Tooling Strategy

• Identify and implement optimal tools and strategies for testing and evaluation, accelerating release cycles.
• Support unified tooling strategies for product evaluation and develop predictive models to assess feature changes.

Data Analysis and Feedback

• Analyze test and site feedback data to identify gaps and suggest improvements across the product portfolio.

Required Skills:

Linux

• Expert-level understanding of the Linux kernel, networking, vSwitch, and bridge networks.
• Proficiency in network connection analysis and using sniffing tools.
• Real-time troubleshooting skills on production systems.
• Expertise in profiling tools and techniques in Linux to optimize performance.

Kubernetes

• Expertise in diagnosing and troubleshooting performance issues in Kubernetes hybrid clusters, particularly around networking and shared storage.

Windows

• Basic to intermediate-level knowledge in Windows networking, Open vSwitch, and bridge networks.
• Familiarity with ETW trace analysis for performance diagnostics in Windows environments.