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IT- Sr Systems Engineer

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Onsite

IT- Sr Systems Engineer

Cadence Design Systems

IT- Sr Systems Engineer

Skills

RJenkinsLinuxWorkdaySystem & Network Administration

21 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Karnataka, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Description

Position Requirements:

Education & Experience

  • Four Year degree (Computer Science, Information Systems or relational functional field) and/or equivalent combination of education or work experience.
  • 6-8 years of professional experience in the field of Information Technology and preferably in EDA industry
  • Experience with Windows & Linux system admin, performance fine tuning, compiler optimization, registry changes, system Environment, kernel, tcp/ip fine tuning. Knowledge of cpu/memory internals and processes would be an advantage.
  • Operating system platform technology knowledge from major vendors and open source solutions, including Linux, LSF, Slurm, Elastic Search, Jenkins, etc.
  • Experience with Cloud Computing architecture in a hybrid model will be a significant benefit.
  • Should have good scripting knowledge and DevOps skills for automation tasks
  • Hands-on experience and Good knowledge with troubleshooting various user job issues in a Compute farm.
  • Should have good communication skills both verbal and written
  • Should be self-driven and dynamic in a fast-paced environment.

Duties & Skills

  • Provide Day to Day Farm support to Windows & Linux based Compute Farm (OnPrem & Cloud)
  • Able to support the system upgrades and work load migrations, acceptance testing, and maintenance.
  • Able to understand R&D specific requirements and current technology trends.
  • Virtualization & Cloud knowledge would be an advantage.

Specific Ongoing Duties

  • Provide system/farm, storage, and networking expertise for timely resolution of R&D user issues in compute farms.
  • Work closely with R&D user community to improve user productivity and farm resource utilization.
  • Regular knowledge transfers to direct team and cross-functional peers in IT.
  • Automate the repeated activities to create bandwidth.
  • Work with global teams in different time zones to achieve common goals.

We’re doing work that matters. Help us solve what others can’t.

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