Devops on premise engineer Jobs

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- Full-time
- Azure
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- Weekend availability
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- Windows
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BASF Digital Solutions Private Limited —Andhra Pradesh
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Vega IntelliSoft Private Limited —Pune, Maharashtra
- ₹35,00,000 - ₹40,00,000 an hour
- Azure
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Knoldus Inc —Noida, Uttar Pradesh
- ₹40,00,000 - ₹45,00,000 a year
- Full-time
- Azure
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SENIOR DEVOPS ENGINEER
Tecnovos —Bengaluru, Karnataka
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Zelis —Telangana
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- DevOps
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GDD/BG - Senior DevOps Engineer NCM (M/F/D)
BASF Digital Solutions Private Limited —Andhra Pradesh
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CLOUD DATABASE ENGINEER - VOIS
Vodafone —Pune, Maharashtra
- Full-time
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Investwell —Gurugram, Haryana
- Full-time
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Standard Chartered —Bengaluru, Karnataka
- Azure
- DevOps
- Master's degree
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Cisco Systems —Bengaluru, Karnataka
- Full-time
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GCP Cloud Subject Matter Expert (SME)
Recruitment Hub 365 —Remote
- ₹16,00,000 - ₹17,00,000 a year
- Remote
- Azure
- DevOps
- Analysis skills
- Work from home
Quick apply
8d
Devops Engineer with Cloud exposure, AVP
Deutsche Bank —Pune, Maharashtra
- Full-time
- Oracle
- Software troubleshooting
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Accenture —Bengaluru, Karnataka
- Full-time
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Bluebenz Digitizations —Baner, Pune, Maharashtra
- Full-time
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16h
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bluebenz digitizations pvt ltd —Pune, Maharashtra
- Full-time
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16h
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Uffizio —Valsad, Gujarat
- Azure
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- AWS
Quick apply

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DevOps Engineer, DFX Software

NVIDIA -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Jira
CI/CD
Cloud infrastructure
Azure
Law
Computer Science
Software design
Software troubleshooting
Kubernetes
Ansible
DevOps
Electronics Engineering
Laboratory experience
Git
Master's degree
AWS
C++
Electrical experience
Docker
C
Bachelor's degree
Continuous integration
Scripting
B.E.
Puppet
Chef
AI
Jenkins
GitLab
Python

Full job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence.

As part of the CAD team, our engineers develop and support tools for all of NVIDIA's semiconductor products. They also develop in-house tools in the area of Design for Test (DFT) using C++, Python, and TCL. You will work on infrastructure and software used to test our complex semiconductor devices. Below are some of the team's activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today.

What you will be doing:

Be responsible for designing and managing the DevOps workflow for the software team.
Provide essential software, hardware, and lab support to ensure smooth operations and resolve any critical issues.
Architect highly automated and customizable design flows using software engineering and AI Code Generation with modular design and object-oriented techniques.
Support development of tools using C++/Python/TCL.
Work cross-functionally with DFT Methodology, Implementation, and design teams with important DFT development tasks.
Implement and maintain CI/CD pipelines for DevOps processes.
Manage cloud infrastructure and on-premise systems for scalable and reliable deployment.
Troubleshoot and resolve system, network, and application issues.

What we need to see:

A BE or BTech or MTech in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent experience.
At least 2+ years of relevant work experience in DevOps, with a focus on CI/CD, automation, and infrastructure management.
Solid programming and scripting skills in Python/C++ or TCL desired. Strong software engineering skills: software design, algorithms, and QA.
Strong experience with configuration management tools like Ansible, Puppet, or Chef.
Proficiency with containerisation technologies such as Docker and Kubernetes.
Experience with cloud platforms like AWS, Azure, or GCP.
Strong knowledge in GitLab pipelines.
Familiarity with tools like Artifactory and Jenkins, which are essential for managing binary repositories and automating builds and deployments.
Good understanding of build frameworks such as CMake and Meson is required. Familiarity with JIRA for project and issue tracking is good to have.
Experience in providing lab software and hardware

Ways to stand out from the crowd:

Knowledge or experience with DFT
Strong GenAI, LLM, AI Code Generation skills desirable.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

Apply Now

Refine Your Search

DevOps Engineer, DFX Software

Support Engineer

Cloud DevOps Engineer (Mid-level)

Cloud Infrastructure & DevOps Engineer

GDF/CR - DevOps Engineer Integration (m/f/d)

Ops Manager (on Premise and Cloud)

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SENIOR DEVOPS ENGINEER

Sr Azure Cloud Engineer

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CLOUD DATABASE ENGINEER - VOIS

Lead Devops Engineer

Lead Devops Engineer

Site Reliability Engineer

GCP Cloud Subject Matter Expert (SME)

Devops Engineer with Cloud exposure, AVP

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Azure Data Engineer

Azure Data Engineer

DevOps Team Lead

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