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 [email protected] if interested.
Cheers,
Dhirendra
Job Type: Contract
Contract length: 12 months
Pay: $14,013.36 - $50,000.00 per month
Work Location: Remote
