5 дней назад
Enterprise AI DevOps SRE (AI)
115 600 - 158 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise AI DevOps SRE (AI) (Kubernetes, multi-cloud, Agentic AI): Building scalable infrastructure, CI/CD pipelines, and intelligent automation workflows across enterprise platforms such as Workday, Salesforce, and Okta with an accent on multi-cloud delivery, observability, and secure identity integration. Focus on designing Agentic AI and MCP workflows, optimizing cloud costs, and translating infrastructure metrics into measurable business ROI.
Location: US - Remote, CO; remote or hybrid setup; 10% travel required
Salary: $115,600–$158,900 per year, plus bonus eligibility
Company
is a global technology company connecting the physical and digital worlds through solutions for construction, geospatial, transportation, infrastructure, and supply chain industries.
What you will do
- Architect and deploy Infrastructure as Code and multi-cloud CI/CD pipelines across AWS, Azure, and GCP.
- Build delivery workflows with GitHub Actions, Helm, and Flux CD.
- Design AI-driven automation for enterprise systems using Agentic AI and the Model Context Protocol.
- Implement observability with Grafana, Prometheus, and New Relic to improve uptime, performance, and cost efficiency.
- Advise product, data, and security teams on cybersecurity, compliance, and xOps standards.
- Translate infrastructure metrics and cost optimization KPIs into actionable business ROI.
Requirements
- 5+ years of hands-on experience managing enterprise Kubernetes and Docker environments.
- Experience with modern cloud architectures and multi-cloud infrastructure.
- Proficiency integrating enterprise APIs such as Workday and Salesforce.
- Experience managing secure identity frameworks including OIDC and SAML.
- Practical experience with GitHub Actions, Flux CD, Helm, Grafana, New Relic, and Prometheus.
- Ability to provide consultative DevOps and cloud guidance to product teams.
Nice to have
- Experience applying Agentic AI or Model Context Protocol to legacy enterprise tools.
- Experience driving measurable ROI through cloud cost optimization and infrastructure performance metrics.
Culture & Benefits
- Work on technology supporting construction, transportation, infrastructure, and other essential industries.
- Collaborative, supportive, and inclusive work environment focused on belonging, innovation, and growth.
- Medical, dental, vision, life, and disability benefits.
- Paid time off, retirement plans, paid parental leave, and employee stock purchase plan.
- Health, dependent-care, and commuter tax savings plans may be available.
Hiring process
- Submit an online application through the job posting.
- Applications are accepted on an ongoing basis until the position is filled.
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