Requirement Details:

Job Title: DevOps Support Engineer - Systems Engineer

Job Type: Direct Hire

Salary: $160,000 - $190,000

Location: San Jose, CA

Must-Have Requirements

Strong DevOps experience
Strong Linux Administration skills
5-15 years of overall experience
Candidates with fewer years of experience may be considered if they have a strong educational background
Degree from a well-respected university
Experience with LSF or Slurm (Preferred, not mandatory)

Position Overview

Cadence is seeking a DevOps Support Engineer to support, manage, and enhance its DevOps environment. The ideal candidate will have hands-on experience with cloud technologies and a proven track record of working closely with R&D software development teams to optimize engineering productivity.

The role involves supporting global engineering teams, managing internal compute infrastructure, improving CI/CD processes, and maintaining cloud-based DevOps solutions.

Key Responsibilities

Support engineering teams across North America, Europe, and Asia.
Improve R&D productivity and drive customer success initiatives.
Design, implement, and maintain CI/CD pipelines for automated builds and deployments.
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
Troubleshoot and resolve issues across development, testing, and production environments.
Manage, operate, and enhance internal HPC compute farms and Azure cloud infrastructure.
Monitor system performance and implement improvements for efficiency and reliability.
Collaborate with software development teams to optimize development environments and workflows.
Maintain documentation, change management, incident management, and problem-resolution processes.

Required Qualifications

7+ years of experience architecting, managing, and improving DevOps environments.
Experience supporting both Linux and Windows environments.
3+ years of experience working in globally distributed teams across multiple geographies.
Strong understanding of DevSecOps principles and best practices.
Experience building and managing CI/CD pipelines in cloud environments (Azure preferred).
Strong Linux administration and troubleshooting skills.
Experience working directly with R&D software engineering teams.
Strong documentation, process management, and operational support experience.

Preferred Qualifications

Experience with HPC (High-Performance Computing) environments.
Experience with LSF or Slurm workload schedulers.
Experience managing large-scale compute farms.
Azure cloud administration and automation experience.

Education

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.

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