
Enterprise AI DevOps, SRE
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Colorado.
• Design and implement scalable Infrastructure as Code and multi-cloud CI/CD pipelines utilizing AWS, Azure, and GCP.
• Spearhead AI-powered workflows for non-engineering systems using Agentic AI and the Model Context Protocol.
• Develop observability frameworks leveraging Grafana, Prometheus, and New Relic.
• Assess performance, reduce costs, and enhance system uptime.
• Partner with product, data, and security teams to set standards for cybersecurity, compliance, and xOps.
• Convert infrastructure metrics and cost optimization KPIs into actionable business ROI.
• Incorporate AI capabilities within enterprise platforms such as Workday, Salesforce, and Okta.
• Provide guidance to product teams regarding technical DevOps and cloud necessities.
• Over 5 years of practical experience managing enterprise-level Kubernetes and Docker environments.
• Familiarity with modern cloud architectures.
• Expertise in integrating enterprise APIs like Workday and Salesforce.
• Experience in managing secure identity frameworks, including OIDC and SAML.
• Hands-on experience with GitHub Actions, Flux CD, and Helm.
• Practical knowledge of Grafana, New Relic, and Prometheus.
• Capability to translate technical DevOps and cloud requirements into strategic direction.
• Experience applying Agentic AI concepts or Model Context Protocol to legacy enterprise tools is an advantage.
• Proven record of delivering measurable ROI through cloud cost optimization and infrastructure performance metrics is a plus.
• Eligibility for bonuses.
• Health insurance benefits.
• Dental insurance benefits.
• Vision insurance benefits.
• Life insurance coverage.
• Disability insurance.
• Time-off policies.
• Retirement plans.
• Tax-saving plans for health, dependent care, and commuting expenses.
• Paid parental leave.
• Employee Stock Purchase Plan.
• Reasonable accommodations for disabilities or sincerely held religious beliefs.
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