| Location | Santa Clara, CA |
Job Summary
We are looking for an experienced DevOps / Kubernetes Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure. The ideal candidate will have hands-on experience with Kubernetes, containerization, CI/CD pipelines, cloud platforms, and infrastructure automation.
Design, deploy, configure, and manage Kubernetes clusters for application deployment and orchestration.
Build and maintain CI/CD pipelines to automate application builds, testing, deployments, and releases.
Work with Docker and container technologies to package, deploy, and manage applications.
Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
Manage cloud infrastructure on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Monitor application and infrastructure performance using tools such as Prometheus, Grafana, ELK, or similar platforms.
Troubleshoot deployment failures, Kubernetes cluster issues, networking problems, and production incidents.
Implement security best practices, access controls, secrets management, and infrastructure monitoring.
Collaborate with development, QA, security, and operations teams to improve deployment reliability and operational efficiency.
5+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a related role.
Strong hands-on experience with Kubernetes, Docker, and container orchestration.
Experience developing and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or similar tools.
Working knowledge of AWS, Azure, or GCP cloud services.
Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
Proficiency in Linux administration, shell scripting, and troubleshooting.
Understanding of networking, load balancing, security, and application deployment architectures.
Experience with monitoring, logging, and incident management tools.
Strong problem-solving, communication, and collaboration skills.
Kubernetes certifications such as CKA, CKAD, or CKS.
Experience with Helm charts, GitOps tools such as Argo CD or Flux, and service mesh technologies.
Exposure to microservices architecture and production-grade cloud-native applications.