AI DevOps Engineer

Description

Summary: Seeking a highly skilled DevOps Engineer with expertise in Kubernetes, cloud infrastructure, CI/CD automation, and AI-driven workflow automation to streamline operational workflows. Highlights: 1. Build scalable cloud-native platforms with Kubernetes and AI orchestration 2. Develop and maintain CI/CD pipelines and automate infrastructure 3. Integrate LLMs into DevOps for intelligent automation solutions About the Role We are looking for a highly skilled DevOps Engineer with strong expertise in **Kubernetes, Cloud Infrastructure, CI/CD automation, and AI\-driven workflow automation.** The ideal candidate will have hands\-on experience building scalable cloud\-native platforms along with exposure to **AI agent frameworks, MCP integrations, and LLM\-powered automation solutions.** This role requires a **combination of DevOps engineering, infrastructure automation**, and modern AI orchestration capabilities to streamline operational workflows and intelligent system management. **Key ResponsibilitiesDevOps \& Cloud Engineering** * Design, implement, and manage scalable cloud infrastructure on AWS, Azure, or GCP * Deploy and manage Kubernetes clusters, including Helm deployments, scaling, rollout/rollback strategies, and troubleshooting * **Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI/CD** * Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) best practices * **Develop automation scripts using Python, Bash, or Go** * Monitor platform reliability, performance, and availability using Prometheus and Grafana * Collaborate with development teams to improve deployment efficiency and release processes * Ensure security, compliance, and operational best practices across environments **AI / MCP / Agent Development** * Build and deploy AI agents for workflow automation, incident management, and operational intelligence * Work with **Model Context Protocol (MCP) or similar orchestration frameworks** * Integrate **Large Language Models (LLMs) into DevOps workflows for alerts,** remediation, observability, and insights * Develop intelligent automation solutions using frameworks such as LangChain, AutoGen, or equivalent * Create AI\-driven operational tooling for decision\-making and process optimization * Improve automation efficiency through agent\-based architectures and tool integrations Please share the copy of resume at dhirendra@otyms.com if interested. Cheers, Dhirendra Job Type: Contract Contract length: 12 months Pay: $14,013\.36 \- $50,000\.00 per month Work Location: Remote