Description
Job Overview We are looking for an experienced DevOps Engineer to design, implement, and support enterprise AI platforms that power Artificial Intelligence (AI) and Generative AI solutions. This role is ideal for professionals with strong cloud infrastructure, automation, and DevOps expertise who are passionate about building scalable, secure, and high-performing platforms. You will work closely with cloud architects, infrastructure engineers, and application teams to automate deployments, optimize platform performance, and enable AI applications across cloud environments.
Key
Responsibilities
Cloud Infrastructure & Automation Design, deploy, and maintain cloud infrastructure using Infrastructure as Code (IaC) methodologies. Develop reusable infrastructure modules and standardize cloud deployment practices. Automate infrastructure provisioning to improve scalability, reliability, and operational efficiency.
Support enterprise cloud environments across Microsoft Azure and AWS. DevOps & CI/CD Build, maintain, and optimize CI/CD pipelines for application and AI platform deployments. Automate software build, testing, deployment, and release processes.
Implement DevOps, GitOps, and DevSecOps best practices to improve delivery quality and security. Maintain version control and release management processes. AI Platform & MLOps Support the deployment and ongoing management of AI, Machine Learning (ML), and Generative AI applications.
Implement MLOps practices including model deployme
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