Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS @ 4
Ansible @ 7
Azure @ 4
CI/CD @ 4
Chef @ 7
Communication @ 7
GitHub @ 4
GitHub Actions @ 4
Go
Kubernetes @ 4
Linux @ 4
Python
Security
Terraform @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a Senior Software Engineer, you will help drive the automation, design, and operation of the Linux platform that powers the physical Linux client experience all the way up to our large scale AI agent compute platform. You will support Linux environments across physical systems, virtual machines, and public cloud infrastructure while improving their scalability, reliability, and security. This role is ideal for someone who enjoys automating infrastructure, solving challenging Linux problems, and building secure and reliable platforms for next-generation agentic services.
Responsibilities
- Leading Linux and cloud infrastructure initiatives, including architecture, provisioning, configuration, deployment, and ongoing operations.
- Building automation using shell scripting, configuration management, and infrastructure-as-code tools.
- Developing and maintaining automated workflows for Linux provisioning, patching, configuration, security hardening, and lifecycle management.
- Deploying and operating cloud infrastructure and integrating cloud services with on-premises environments.
- Collaborating with engineering teams across NVIDIA to deliver infrastructure capabilities that support meaningful business outcomes.
- Continuously improving the reliability, security, maintainability, and operational standards of our platform.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field—or equivalent experience.
- 8+ years of experience in Linux systems, infrastructure, platform, site reliability, or cloud engineering.
- Deep hands-on experience administering, securing, and optimizing Linux environments.
- Proven cloud architecture and engineering experience in AWS or Azure.
- Strong shell scripting and automation skills, including a configuration management platform such as Chef or Ansible.
- Experience using Terraform to provision infrastructure.
- Experience with AI-native development and coding agents to multiply developer productivity.
- Strong communication skills and a collaborative, team-oriented approach.
Ways to stand out from the crowd
- Expertise in Go or Python
- Experience using GitLab CI/CD or GitHub Actions to automate deployments.
- Experience designing and operating hybrid-cloud or multi-cloud Linux environments.
- Experience with container runtimes, Kubernetes, immutable infrastructure, or automated operating-system image pipelines.
- Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team!
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