Infrastructure Engineeraion
Bengaluru · hybrid · 3-8 yrs · 25-90 LPA
At Aion, we deploy AI systems into complex, real-world enterprise environments. As an Infrastructure Engineer, you will design the foundation for these deployments, ensuring our systems are robust, observable, and performant. You will bridge the gap between model research and production stability, working with diverse cloud and on-premises environments.
what you'll do:
- Design and manage scalable infrastructure to support production AI model deployment and agent orchestration.
- Develop and maintain monitoring systems to provide deep visibility into GPU performance and cluster health.
- Build custom Kubernetes controllers to manage complex resource workflows and job scheduling.
- Implement and maintain observability pipelines using the LGTM stack to ensure system reliability.
- Manage infrastructure as code using GitOps practices for consistent and reproducible deployments.
- Collaborate with forward-deployed engineering teams to integrate AI systems into diverse enterprise architectures.
why join: Aion focuses on the practical application of AI, moving models out of research labs and into production environments where they drive measurable operational efficiency and revenue. You will work on the core infrastructure challenges that make enterprise-scale AI deployment possible.
message me directly on tal BOSS.
tal saysbuild and scale the production infrastructure powering ai agents and models for enterprise environments.
engineering
mid
hybrid
Bangalore
gorustkubernetesterraformargocd
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