Sr. Network Systems Engineer

Hybrid opportunity with great compensation and benefits

This Jobot Job is hosted by: Jason Leonard
Are you a fit? Easy Apply now by clicking the "Apply" buttonand sending us your resume.
Salary: $115,000 - $130,000 per year

A bit about us:

We may thrive on human and artificial intelligence, but our values provide the roadmap that informs every interaction.
Who are we?
We take the job very seriously but do not take ourselves seriously.
We believe that kindness is still completely relevant.
We believe transparency and a strong team bring the best results for everyone.
Our Get a Job, Give a Job ™ program helps increase employment across the globe.

Why join us?

Get to work at one of the most cutting edge HPC Data Centers in the world!!

Job Details

Seeking a knowledgeable and industrious Senior Network Systems Engineer to join the Managed Services team and apply their technical skills in a fast-paced and complex environment. A working knowledge of server hardware and the desire to participate in projects at a large-scale data center is central to this role. This position will work to resolve and diagnose network issues at scale, escalate issues, and work with engineering teams. Additionally, this role will support rack lifecycle processes with a focus on helping build out and support cloud scale network and storage environments. Solid communication skills are a requirement for this role. This person should enjoy working in a fast-paced environment where adaptability and flexibility will be key to their success. This position supports HPC environments where performance is critical.

Responsibilities

• Develop network configurations and architectures, both project-based and roadmap aligned.
• Validate and troubleshoot networking related issues at the pre-sales and post-sales stage.
• Maintain meticulous documentation for internal and external build instructions - such as configuration examples, guidance on technical details, and best practices.
• Validate the network infrastructure with Solution Architects and other field engineers for solutions to customers’ needs.
• Coordinate with vendors and other related organizations for problem resolution.
• Interact with internal and external teams and operate across organizations as needed.
• Engage in learning and researching new technologies and developments.
• Support a Linux-based, high-performance computing (HPC) and artificial intelligence (AI) environment, featuring a wide range of technologies.
• Render professional, timely, and expert user support.
• Document processes, procedures, and all work performed.
• Develop automation and other tools to improve operations.
• Participate in growing Penguin Computing's technical capabilities through knowledge-sharing and team activities.

Qualifications

• 8+ years of hands-on experience with enterprise scale networks.
• In-depth knowledge of data center environments, servers, and network equipment.
• Extensive experience in installing, monitoring, and maintaining data center equipment.
• Exceptional ability to work as part of a team, provide IT support, and resolve errors.
• Ability to keep up with advancements in data center infrastructure and technologies.
• Can work on both InfiniBand and Ethernet networks.
• Proficiency in documenting network processes.
• Exceptional communication skills.
• Willingness to respond to network and server errors after hours.
• Participate in weekly on-call rotation.

Location
This is a hybrid position located in Richmond, VA.

Travel
<10%

Compensation & Benefits
The base pay range that the Company reasonably expects to pay for this position in Richmond, VA is $115,000 - $135,000; the pay ultimately offered may vary based on business considerations, including job-related knowledge, skills, experience, and education. The position is bonus-eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.

Interested in hearing more? Easy Apply now by clicking the "Apply" button.