AI Ops Engineer
Circana (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, automate, and support enterprise infrastructure and application delivery platforms across on-premises and cloud environments.
- Drive DevOps practices including CI/CD pipeline development, Infrastructure as Code (IaC), platform reliability, and operational excellence in hybrid landscapes.
- Support AI/ML infrastructure platforms and manage workloads across Azure and GCP including container orchestration with Kubernetes and hybrid cloud integration.
Minimum Requirements
- Bachelor's degree in Computer Science, IT, Engineering, or related field.
- 7+ years of experience in DevOps, Infrastructure Engineering, Cloud Engineering, or Platform Operations.
- Strong experience with CI/CD tools such as Jenkins and Azure DevOps, Infrastructure as Code using Ansible, Linux administration, and container platforms like Kubernetes and Docker.
- Experience supporting both on-premises infrastructure and Azure/GCP cloud environments; location is Bangalore, Karnataka, India (Hybrid).
Ideal Candidate Profile
- Experienced senior engineer capable of managing large-scale hybrid cloud transformations and enterprise platform engineering.
- Proficient in automation, scripting (PowerShell, Python, Bash), and applying Site Reliability Engineering (SRE) practices.
- Skilled in managing AI/ML infrastructure, supporting scalable AI platforms including generative AI and vector databases, and integrating cloud with on-premises systems in complex environments.