AI DevOps Site Reliability Engineer
Job Summary
Driving innovation in a remote full-time capacity, the Enterprise AI DevOps Site Reliability Engineer will architect and deploy scalable Infrastructure as Code (IaC) and multi-cloud CI/CD pipelines, lead the design of intelligent AI-driven workflows, and implement observability frameworks to enhance operational efficiency across complex enterprise ecosystems.
Key Responsibilities
- Architect and deploy scalable Infrastructure as Code (IaC) and multi-cloud CI/CD pipelines across AWS, Azure, and GCP
- Lead the design of intelligent AI-driven workflows for non-engineering systems using Agentic AI and the Model Context Protocol (MCP)
- Implement robust observability frameworks with Grafana, Prometheus, and New Relic to monitor performance and optimize costs
Required Qualifications
- 5+ years of hands-on experience managing enterprise-grade Kubernetes and Docker environments
- Proficiency in integrating complex enterprise APIs and managing secure identity frameworks like OIDC and SAML
- Experience with modern CI/CD tooling and observability platforms
- Ability to act as a consultative advisor, translating technical requirements into strategic guidance
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 48,944 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
Wikipedia Wikipedia URL
BBB URL BBB URL
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
