NVIDIA AI
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Yelwadi · On-site · 8-11 Yrs · 4 days ago
Computer Hardware Development · 10000+ Employees · Santa Clara, US
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. We engineer technology for the da Vincis and Einsteins of our time. Our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries. From gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our work is truly unique. Part science. Part art. Completely rewarding. We take on challenges that make a significant difference in the world. Every breakthrough helps shape what comes next.
Hiring: Engineering
What employees say
+ All good and good pay
− No corns, good work life balance
More reviews on the company profile.
Interview experience · Software QA Tester
The first round was DSA round (Difficult), then was interview (virtual - moderate) - explained the project line to line from any random point also asked to solve and DSA problems, next round was HR.
Average difficulty · Pune · 493 reports
More interview insightsJob description
Overview
Job Requisition ID JR2021184
Responsibilities
- Architect and refine automated deployment Jenkins pipelines to ensure seamless, zero-downtime releases.
- Design, build, and maintain enterprise-scale infrastructure using Terraform. Establish modular, reusable patterns for AWS resources.
- Optimize and manage sophisticated AWS environments with a focus on cost-efficiency and security.
- Transition our monitoring from reactive to proactive using AI-powered observability tools (e.g., Datadog Watchdog) for automated root cause analysis (RCA) and anomaly detection.
- Define and monitor SLOs and SLAs. Lead incident response and conduct thorough post-mortems to improve system resilience.
- 8+ years or equivalent industry experience
- Bachelor's/Master's Degree in Computer Science, Software Engineering, or equivalent experience.
- Exceptionally strong background in developing CI/CD processes and deployment pipelines using Jenkins.
- Extensive experience architecting on AWS Cloud and running services such as API Gateway, Lambda, EKS/ECS, RDS, S3, and SQS.
- Expert-level knowledge of Terraform (including state management, workspaces, and complex module development).
- Advanced experience with Kubernetes (EKS) and Docker, including orchestration, service meshes, and Helm.
- Strong proficiency in a scripting language, such as Python, for automation and custom tooling.
- Strong communication skills.
- Deep understanding of DNS and CDNs (e.g., Akamai, CloudFront).
- Demonstrated use of AI tools to improve productivity and the quality of releases.
- Applies secure-by-design principles across infrastructure, deployment automation, and operational processes.
- AWS certifications are preferred.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Senior DevOps Engineer - E-commerce at NVIDIA AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NVIDIA AI may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior DevOps Engineer - E-commerce remote or on-site in Yelwadi, Maharashtra?
- This listing is marked on_site with location Yelwadi, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior DevOps Engineer - E-commerce role at NVIDIA AI?
- This is a senior Senior DevOps Engineer - E-commerce role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.