Server Farm Consultant

Client is looking for HPC and LSF expeServer Farm Consultant || Onsite/Hybridrience.
Max rate: $75/hr
Employment Type: Contract Client: Cadence Design Systems City: San Jose State: California Status: Accepting Candidates Description: Cadence is seeking a Server Farm Engineer (Contract) to join our team to support, manage, and improve the compute farm environment. The candidate should have hands-on experience with cloud solutions and proven expertise in working directly with R&D software development teams to develop solutions to optimize their working environment collaboratively.
Each day with Cadence offers exciting opportunities to create a better, more connected world. We are leading the charge to solve technology's toughest challenges. Working at Cadence means working alongside the industry's brightest people and innovating for the biggest, most innovative companies around the globe.
Role: Server Farm Engineer (Contract)
Location: San Jose, CA or Austin, TX
Education: BS / MS in computer science or related field
Responsibilities

• Supporting multiple geological locations to serve user communities across North America, Europe, and Asia sites.
• Focusing on improving R&D productivity and committing to customer success.
• Driving the overall operational strategy for internal High-Performance Compute (HPC) farms in all Cadence locations.
• Developing and executing the three-year compute roadmap and planning annual capacity growth for on-premises Server Farm in San Jose.
• Operating, managing, and enhancing the internal compute farm and associated cloud (AWS).
• Maintaining, enhancing, monitoring, reporting, and improving its efficiency.

Requirements

• 5+ years of technical experience architecting, managing, and improving a compute farm environment running Linux.
• At least 3 years of direct hands-on experience in a global or regional compute farm and/or hybrid cloud environment consisting of 1,000 or more servers with some remote direct reports
• At least 2 years working in a global group, coordinating support, strategies, projects, and operations across multiple geographies in a team-oriented approach
• Extensive technical experience managing IBM LSF and RTM and scripting using Python, shell, Perl, etc., in a Farm environment and knowledge of LSF spanning Farm to Cloud is highly desirable
• Solid understanding and proven operational experience with compute farms, job submission/management technologies, cloud, and associated management tools.
• Proven experience working directly with R&D software development teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)
• Proven experience in capacity and performance management, optimizing performance, ensuring adequate capacity, working with R&D on optimization of their workloads, and development and maintenance of key performance indicators

A proven process focus shown through documentation, change management, incident management and problem-resolution activities