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The job details are as follows:

As a Systems Engineer, you will be responsible for Unix/Linux operating system configuration and management, as well as physical server hardware configuration and maintenance. Within your area of specialization, you will work with increasing independence and collaborate with senior team members on larger-scale initiatives supporting the storage team and broader infrastructure environment.

Responsibilities

• Provide operational support for Unix/Linux systems across multiple business units.
• Collaborate with cross-functional teams to address daily support requests and ensure the availability, reliability, and performance of all Unix/Linux systems.
• Support, maintain, analyze, and resolve issues within Unix/Linux environments.
• Assist Unix/Linux administrators with day-to-day system resource requests, including provisioning new systems, managing system-level access, installing and updating packages, and configuring storage.
• Participate in load, capacity, and performance analysis and testing activities.
• Contribute to unit, system, and acceptance testing by assisting with test design, preparing test data, executing test cases, and evaluating results.
• Apply AI-driven automation and predictive analytics to monitor system health, proactively identify potential failures, and accelerate root-cause analysis for complex server and application issues.
• Document procedures, configurations, and operational knowledge to support team effectiveness.
• Develop custom internal tools, API integrations, and automation layers using Python to extend and bridge gaps in existing DevOps and monitoring platforms

Qualifications

• Bachelor’s degree in computer engineering or a related discipline, and/or 2–4 years of relevant professional experience.
• Hands-on experience supporting Unix/Linux operating systems.
• Demonstrated ability to troubleshoot and resolve system-level issues.
• Working knowledge of server virtualization technologies.
• Understanding of Python and scripting language to develop automation through API integration.
• Strong collaboration skills with the ability to work effectively in a team environment.
• A proactive interest in integrating AI tools and AIOps methodologies to enhance system observability, streamline administrative tasks, and improve overall infrastructure resilience.