optimize resource usageand automation. Collaborate with engineering and ML teams on cloud-native deployments, microservices, and security. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. 7 years designing, deploying, and maintaining cloud-native applications (AI / ML workloads) at scale. Advanced proficiency in cloud infrastructure, container orchestration (Kubernetes, Docker), CI / CD, and Infrastructure-as-Code (Terraform, Ansible). Multiple certifications (AWS Solutions Architect, Azure Architect, GCP Professional Cloud Architect) preferred. Proven migration / design experience for legacy systems to cloud, plus optimization and compliance. Experience mentoring DevOps or cloud engineering teams. What You’ll Get Leadership of cloud infrastructure powering advanced AI platforms. Flexible remote work and competitive pay.
Cloud Architect • Ghāziābād, Republic Of India, IN