Automation SME - Server Hardware/Software Engineer

Automation SME (Server Hardware/Software Engineer)

Salary Range: $135,200 - $156,000 per year

Location: Rutherford, NJ - Hybrid Role

Duration: 1+ YEAR

Requirement: Must be a US citizen

Bayside Solutions is looking for a client-focused engineer who is excellent at comprehending customer expectations, converting them into requirements, carrying out the design of scripts, and presenting solutions to the customer. In order to administer servers in a top-notch distributed datacenter environment, automation scripts may use a range of languages and industry standard procedures, such as Redfish API. The position will work closely with the Rutherford, New Jersey-based engineering team, with 50% of the time spent on-site at the customer's location for meetings and script deployment testing.

Requirements:

• Strong industry standard server knowledge and experience
• Not limited to but including rackmount 1U and 2U Intel and AMD platforms
• Demonstrated background in server platform management at scale (500 nodes)
• Configuration management (BIOS, BMC, firmware, operating systems)
• Lifecycle management (provisioning and decommissioning)
• General proficiency with multiple server operating systems including Windows Server, Linux, and VMware
• Experience automating tasks in complex, multi-operating system, multi-tenancy environments
• Bash, Python, PowerShell
• Working knowledge of common automation frameworks
• Ansible, Chef, Puppet
• Experience managing proof of concepts and performance benchmarks
• Performance baselining and reporting
• Knowledge of industry standard benchmarking/perf tools (stress, fio, iometer, SPEC, etc)
• Knowledge of interacting with APIs at a programmatic/script level
• DMTF Redfish API

Nice-to-haves:

• Working knowledge of OneView
• RHEL system administration experience
• Windows system administration experience
• Shell scripting experience
• Benchmark testing experience
• Hands on physical server experience
• Handle physical servers rack / cable work
• Any exposure to low latency, high performance and AI/ML computing environments