NVIDIA DevOps Engineer Jobs in Bengaluru 2026 | Kubernetes Docker GitLab CI/CD AWS AI Infrastructure Engineer Careers

Join one of the world’s leading AI and accelerated computing companies working on next-generation infrastructure, automation, and cloud-native engineering systems. This opportunity is ideal for DevOps Engineers passionate about Kubernetes, GitLab CI/CD, Docker, AI infrastructure, cloud automation, and scalable deployment engineering.

Candidates will work on highly automated software infrastructure, CI/CD workflows, cloud-native deployment systems, and enterprise-scale DevOps platforms supporting advanced semiconductor and AI engineering operations.

---

Key Responsibilities

- Design and manage DevOps workflows and deployment automation systems

- Build and maintain scalable CI/CD pipelines using GitLab and Jenkins

- Support cloud infrastructure and on-premise deployment environments

- Manage Kubernetes and Docker containerized workloads

- Automate infrastructure operations and deployment workflows

- Troubleshoot system, network, and application-level issues

- Support infrastructure reliability, scalability, and operational efficiency

- Collaborate with engineering and infrastructure teams on deployment solutions

- Develop automation tools and operational workflows using Python, C++, or TCL

- Improve build systems, deployment reliability, and engineering productivity

---

Required Skills

- Strong DevOps and cloud infrastructure engineering experience

- Expertise in GitLab CI/CD pipeline automation

- Experience with Docker and Kubernetes orchestration platforms

- Knowledge of AWS, Azure, or GCP cloud platforms

- Strong scripting and programming skills in Python, C++, or TCL

- Familiarity with Ansible, Puppet, or Chef configuration management tools

- Understanding of Linux systems and infrastructure troubleshooting

- Experience with Jenkins, Artifactory, and deployment automation tools

- Knowledge of build systems such as CMake and Meson

- Strong analytical and problem-solving abilities

---

Preferred Skills

- Experience with AI infrastructure and automation engineering

- Knowledge of Generative AI, LLMs, or AI Code Generation systems

- Understanding of DFT or semiconductor engineering workflows

- Familiarity with cloud-native infrastructure best practices

- Exposure to large-scale infrastructure monitoring and automation

- Experience supporting lab software and hardware environments

- Knowledge of scalable platform engineering architectures

---

Benefits and Career Growth

- Opportunity to work on world-class AI and accelerated computing technologies

- Exposure to enterprise-scale DevOps and cloud-native infrastructure

- Hands-on experience with advanced CI/CD, Kubernetes, and AI automation systems

- Career growth in AI Infrastructure Engineering, Platform Engineering, and Cloud Operations

- Collaborative engineering culture with cutting-edge technology exposure

- Work alongside some of the industry’s top engineering talent

---

NVIDIA DevOps Engineer Jobs, Kubernetes Engineer Careers India, GitLab CI/CD Engineer Jobs, AWS DevOps Engineer Careers, AI Infrastructure Engineer Jobs, Docker Kubernetes Jobs Bengaluru, Cloud Infrastructure Engineer Careers, Jenkins Automation Engineer Jobs, Platform Engineer Jobs India, High Paying DevOps Jobs, Generative AI Infrastructure Careers, Site Reliability Engineer Jobs, Infrastructure Automation Engineer Careers, Cloud Native DevOps Jobs, AI Cloud Engineer Jobs