Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)

Job summary

Seeking a Senior AI DevOps Engineer to enhance AI-powered software delivery and cloud operations by designing secure, scalable solutions and optimizing CI/CD pipelines.

Qualifications

• 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or Infrastructure Automation
• 4+ years designing and supporting enterprise CI/CD pipelines
• 3+ years of cloud engineering experience in AWS, Azure, or Google Cloud
• Strong experience deploying and managing Kubernetes and Docker
• Hands-on experience with Infrastructure as Code
• Strong programming skills in Python, TypeScript, JavaScript, Bash, Go
• Experience integrating enterprise LLM platforms
• Experience with AI orchestration frameworks
• Experience designing or implementing Model Context Protocol (MCP) clients and servers
• Experience implementing DevSecOps practices
• Strong experience with monitoring, logging, and observability platforms

Responsibilities

• Design, build, and optimize AI-enabled CI/CD pipelines
• Develop and deploy Model Context Protocol (MCP) clients and servers
• Build custom MCP services
• Integrate LLM-powered workflows
• Build and maintain enterprise CI/CD pipelines
• Implement AI-driven ChatOps capabilities
• Design intelligent remediation workflows
• Develop secure Infrastructure-as-Code automation
• Deploy and manage containerized applications
• Build AI-powered observability solutions
• Implement security guardrails
• Partner with Engineering, Platform, Security, SRE, and AI teams

Skills

Relocation