Sr. Cloud Infrastructure & DevOps Engineer

Ambarella develops AI vision processors and solutions that make cameras smarter by extracting valuable data from high-resolution video streams. The company is seeking a hands-on Cloud Infrastructure & DevOps Engineer to design, implement, and operate scalable cloud infrastructure, Kubernetes platforms, CI/CD systems, developer environments, and observability solutions supporting cloud, AI, SDK, and edge development.

Responsibilities:

• Design, deploy, and maintain cloud infrastructure across public cloud environments (GCP preferred, AWS and Azure experience valued)
• Build secure, scalable, highly available environments using Infrastructure as Code
• Manage networking, identity, access management, secrets, and security controls
• Optimize cloud architecture for performance, reliability, scalability, and cost
• Deploy and operate Kubernetes clusters and containerized workloads
• Develop multi-tenant developer environments and internal platform services
• Manage container registries, artifact repositories, and software distribution infrastructure
• Implement platform automation, lifecycle management, and self-service engineering capabilities
• Build and maintain automated build, test, release, and deployment pipelines
• Improve software delivery velocity through automation and standardization
• Support build systems, source control integrations, and deployment workflows
• Partner with engineering teams to streamline development processes and improve DevEx
• Implement monitoring, logging, alerting, and tracing solutions
• Define SLOs, SLIs, and operational best practices
• Lead incident response, root cause analysis, and remediation efforts
• Improve system resilience, uptime, and operational maturity
• Implement security best practices across cloud platforms and CI/CD workflows
• Manage secrets, certificates, vulnerability scanning, and policy enforcement
• Support compliance, audit, and governance requirements
• Collaborate with security stakeholders to maintain secure development and operational environments
• Support cloud infrastructure used for AI model development, testing, and deployment
• Enable scalable infrastructure for simulation, remote hardware access, and edge AI workflows
• Contribute to infrastructure supporting developer portals, cloud IDEs, SDK delivery, and AI development environments

Requirements:

• BS/MS in Computer Science, Computer Engineering, or related field
• 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Infrastructure
• Strong experience with Kubernetes in production environments
• Experience with Docker and containerized application deployment
• Strong scripting and automation skills in Python, Bash, or Go
• Experience with Infrastructure as Code tools such as Terraform
• Experience building and operating CI/CD platforms
• Knowledge of cloud networking, IAM, monitoring, logging, and security best practices
• Experience with Linux systems administration
• Familiarity with Git-based development workflows
• Experience with Google Cloud Platform
• Experience operating GPU-based infrastructure for AI/ML workloads
• Experience with ArgoCD, Flux, Helm, or GitOps workflows
• Experience with Prometheus, Grafana, ELK/OpenSearch, Datadog, or similar observability platforms
• Experience supporting developer platforms and internal engineering tools
• Familiarity with AI/ML pipelines and MLOps practices
• Experience with semiconductor, embedded systems, edge AI, robotics, or vision-based applications