Role Description

We are looking for a highly skilled DevOps Engineer to join our engineering team and take ownership of our cloud infrastructure, deployment pipelines, and production environments.

The ideal candidate will have experience building and managing cloud-native infrastructure for generative AI products, taking solutions from MVP to production at scale. You will be responsible for designing secure, highly available, and scalable infrastructure across AWS and Azure, automating deployments, improving system reliability, and enabling rapid software delivery.

This is a hands-on Individual Contributor (IC) role requiring robust expertise in infrastructure automation, container orchestration, CI/CD, observability, and security. You will work closely with engineering, AI, and product teams to architect robust deployment strategies for enterprise-grade AI applications.

Experience with LiveKit, Pipecat, real-time media infrastructure, and self-hosted AI platforms is highly desirable.

Key Responsibility
Design, implement,



and manage cloud infrastructure across AWS and Azure.
Build and maintain scalable CI/CD pipelines for automated application deployments.
Architect highly available, secure, and fault-tolerant production environments.
Manage Kubernetes clusters and containerised workloads using Docker.
Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation, or equivalent).
Implement monitoring, logging, alerting, and observability using tools such as Prometheus, Grafana, ELK, OpenTelemetry, or similar.
Optimise infrastructure performance, scalability, availability, and cost.
Deploy and manage AI applications and supporting infrastructure from MVP through enterprise-scale production.
Deploy and maintain self-hosted AI workloads, inference servers, and GPU-enabled settings.
Configure networking, DNS, SSL, load balancing, firewalls, VPNs, and cloud security best practices.
Collaborate with engineering

📌 Devops Engineer Bengaluru
🏢 IntellifyAi
📍 Bengaluru