6 days ago
Ra‘ananna, IsraelSenior
Responsibilities
- Build and maintain CI/CD pipelines and reusable developer-platform workflows for automated building, testing, security scanning, publishing, deployment, and promotion.
- Own versioning, artifact and image lifecycles, upgrades, rollbacks, and controlled releases across environments.
- Deploy and operate platforms across Kubernetes, Docker Swarm, AWS, on-premises infrastructure, and air-gapped customer environments.
- Manage infrastructure as code and declarative GitOps across environments and accounts.
- Integrate vulnerability scanning, secrets management, SBOM generation, and open-source license compliance into delivery workflows.
- Improve reliability through high availability, backup and restore, observability, dashboards, alerting, runbooks, incident response, and cloud-service on-call participation.
- Improve build speed, deployment standards, operational tooling, reproducibility, onboarding, and engineering velocity in partnership with engineering, QA, security, product, and support.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 5+ years of experience in DevOps, SRE, Platform Engineering, or Release Engineering.
- Hands-on AWS and infrastructure automation experience with tools such as Terraform and Ansible, plus strong Linux and networking troubleshooting skills.
- Experience building and maintaining CI/CD pipelines with GitLab CI/CD, Jenkins, or similar tools, including artifact publishing and release workflows.
- Strong experience with Docker, Kubernetes, Helm, image registries, container lifecycle management, and GitOps tools such as ArgoCD or Flux.
- Practical DevSecOps experience integrating vulnerability scanning, secrets handling, SBOMs, and compliance checks into CI/CD workflows.
- Strong scripting and automation skills in Python, Bash, or similar languages, plus production observability experience with Prometheus, Grafana, ELK, or similar tools.
- Preferred experience delivering software to on-premises or air-gapped customer environments; operating Kafka, MySQL, or Redis in production; working with GPU, HPC, AI, or large-scale infrastructure platforms; building internal developer platforms or customer-facing SaaS; holding Kubernetes or AWS certifications; or using AI-assisted engineering tools.
Tech Stack
AnsibleApache KafkaAWSBashDockerGitLab CI/CDGrafanaHelmJenkinsKubernetesLinuxMySQLPrometheusPythonRedisTerraform
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.