Senior Platform Engineer
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locationsIndia, Remote
time typeFull time
posted onPosted Today
job requisition idJR2007808
NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Are you willing to challenge yourself, and build great software by working with the smartest people in the world? Join us at the forefront of technological advancement.
The Product Security team is responsible for building secure cloud deployments at scale, and providing security tooling services for the entire Nvidia organization. The Platform Engineer will play a pivotal role in orchestrating our cloud infrastructure and enabling a seamless integration and deployment pipeline. The ideal candidate will be proficient in automation engineering, CI/CD pipelines, and Kubernetes management at an enterprise scale. Their expertise will drive the development of innovative cloud deployment solutions, security tooling, and impactful enhancements to developer experience.
What you’ll be doing:
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Spearhead automation engineering initiatives to streamline and optimize deployment workflows.
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Manage, configure, deploy, and provision Kubernetes clusters at scale.
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Engineer novel solutions for cloud deployments, using innovative technologies and methodologies.
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Lead the design and implementation of CI/CD pipelines, ensuring a robust, automated, and efficient delivery process.
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Develop and implement security tooling to safeguard our cloud infrastructure and applications against threats.
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Architect solutions to improve the developer experience and streamline application delivery through GitOps
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Develop Infrastructure as Code (IaC) modules and scripts to automate the provisioning and management of cloud resources.
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Decouple applications from infrastructure and abstract configuration to simplify microservice development
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Engage with cross-functional teams to ensure seamless integration across all major cloud service providers
What we need to see:
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Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience.
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7+ years of experience in a similar role with a strong focus on cloud engineering and Kubernetes operations at scale.
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Proficient in one or more programming languages (e.g., Python, Go, Shell scripting).
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Proficient in Infrastructure as Code (IaC) practices and methodologies with 5+ years working with tooling such as Terraform, CloudFormation, etc.
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Secrets management tools such as Hashicorp Vault, AWS SSM, etc
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Familiarity with major cloud platforms and services (AWS, Azure, GCP, OCI).
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Strong understanding of container orchestration, microservices architecture, and CI/CD principles.
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Demonstrable experience with GitOps methodologies and poll based configuration and deployment patterns
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Excellent problem-solving skills, with the ability to innovate and think creatively.
