Senior DevOps Engineer – GeForce NOW Cloud at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Gaming, Cloud ComputingIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent, with minimum 8+ years of relevant industry experience
Strong understanding of cloud design, global deployments, distributed systems, and security compliance
Proven expertise managing large-scale, high-availability production environments with observability, telemetry, and alerting
Skilled in Docker, Kubernetes, and KubeVirt for containerized workloads
Proficient in CI/CD pipelines using Jenkins, CloudBees, GitLab, and GitOps tools such as Flux CD and Argo CD
Experienced with IaC tools like Terraform, configuration management with Kubernetes Config Management and Ansible, and secret management using HashiCorp Vault
Experienced in developing automation frameworks along with good knowledge of RESTful web services
Collaborative team player with excellent communication skills and a proactive approach, including flexibility to support projects during critical or off-hours as needed

Responsibilities

Play a crucial role in ensuring the success of the GeForce Now (GFN) Cloud platform by helping to build development and release processes, creating world-class performance, quality measurement and regression management tools, and maintaining a high standard of excellence in CI/CD and release engineering tools and processes
Design, build, and implement scalable cloud-based systems for PaaS/IaaS
Collaborate with cross-time-zone teams to understand requirements and feedback, and develop new products and enhancements to existing ones
Work with development teams to identify and automate operational inefficiencies
Develop, maintain, and improve CI/CD tools for on-prem and cloud deployment of microservices
Collaborate with developers to establish, refine, and streamline software release process
Build and maintain automated testing frameworks
Implement robust observability (logs, metrics, tracing) for proactive issue detection
Help define the long term vision/roadmap of end-to-end release process while both utilizing state-of-art industry standards and pioneering new paradigms

Skills

CI/CD

PaaS

IaaS

Microservices

Cloud Deployment

Release Engineering

DevOps

Performance Measurement

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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