We are looking for a Cloud DevOps Lead to architect, implement, and manage the cloud infrastructure and DevOps practices for our CLEAR and CLEAR AI platforms. This is a hands-on leadership role that requires deep expertise in cloud-native technologies, automation, CI/CD, and infrastructure-as-code (IaC). You will lead a team of DevOps engineers and collaborate closely with product, engineering, and security teams to ensure high availability, scalability, and performance of our platforms.
Key Responsibilities:
- Lead the design, implementation, and management of cloud infrastructure (primarily on AWS, Azure, or GCP).
- Define and enforce DevOps best practices including CI/CD pipelines, IaC, monitoring, and incident response.
- Manage containerized environments using Docker and Kubernetes (EKS/GKE/AKS).
- Implement and maintain infrastructure automation using tools like Terraform, Ansible, or Pulumi.
- Ensure platform reliability, scalability, and security through proactive monitoring and alerting (e.g., Prometheus, Grafana, Datadog, CloudWatch).
- Collaborate with engineering teams to optimize build, deployment, and release processes.
- Drive cost optimization and performance tuning across cloud environments.
- Mentor and guide a team of DevOps engineers, fostering a culture of ownership and continuous improvement.
- Stay current with emerging DevOps tools, cloud services, and AI/ML infrastructure trends.
Required Qualifications
- 10+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
- Deep hands-on experience with AWS, Azure, or GCP.
- Strong expertise in Kubernetes, Docker, and container orchestration.
- Proficiency in scripting languages like Python, Bash, or Go.
- Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or ArgoCD.
- Solid understanding of networking, security, and cloud architecture best practices.
- Experience with monitoring, logging, and alerting tools.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
- Experience supporting AI/ML workloads or GPU-based infrastructure.
- Familiarity with media workflows, video processing, or content delivery networks (CDNs).
- Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Terraform Associate.
- Exposure to zero-downtime deployments, blue-green deployments, and chaos engineering.
