Urban Ridge Supplies is seeking a DevOps Engineer to build and scale cloud-native infrastructure while integrating AI technologies. This role involves hands-on work across multi-cloud platforms and collaboration with engineering and product teams.
Our client, a fast-growing technology-driven consulting firm, is seeking a DevOps Engineer to help build and scale modern infrastructure. This role is central to their transformation from traditional environments into a cloud-native, automation-first ecosystem that powers advanced analytics and AI-driven solutions. You’ll work hands-on across multi-cloud platforms (AWS, Azure, GCP) and collaborate closely with engineering, product, and AI teams. If you love building scalable infrastructure, integrating modern DevOps practices, and shaping the future of AI-enabled operations, this is the role for you. Responsibilities • Design and implement cloud-native infrastructure using infrastructure-as-code (IaC) tools. • Build and manage CI/CD pipelines, container orchestration, and secrets management across environments. • Partner with data and analytics teams to optimize cloud data platforms for performance, cost, and security. • Develop automation services and scripts (Python, Go, TypeScript, or similar). • Integrate AI/LLM technologies into operational workflows (alerting, auto-remediation, documentation). • Improve system reliability, scalability, and developer experience. • Contribute to internal DevOps standards, reusable modules, and best practices. Requirements • 5+ years of DevOps, cloud engineering, or infrastructure automation experience. • Hands-on experience in AWS, Azure, or GCP with IaC tools (Pulumi, Terraform, or Crossplane preferred). • Strong coding skills in Python, Go, TypeScript, or Rust. • Background in managing CI/CD, Docker/Kubernetes, and cloud data platforms. • Familiarity with applying AI/ML to DevOps workflows (bonus). • Strong problem-solving and communication skills. Benefits • Be at the forefront of cloud and AI transformation. • Work with cutting-edge tools and multi-cloud environments. • Competitive base salary + equity participation. • Growth-oriented, collaborative culture with strong career development. MOGEL RPO and our clients are proud to be Equal Opportunity Employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.
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Urban Ridge Supplies is seeking a DevOps Engineer to build and scale cloud-native infrastructure while integrating AI technologies. This role involves hands-on work across multi-cloud platforms and collaboration with engineering and product teams.
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Urban Ridge Supplies is seeking a DevOps Engineer to build and scale cloud-native infrastructure while integrating AI technologies. This role involves hands-on work across multi-cloud platforms and collaboration with engineering and product teams.
ServiceNow is seeking a Senior Staff DevOps Engineer to establish the Cloud Analytics & FinOps Engineering Platform. This role involves architecting and operationalizing a hybrid cloud data platform infrastructure across multiple cloud environments.
Join a fully remote team as a Senior DevOps Engineer, focusing on cloud automation and infrastructure management. Collaborate with cross-functional teams to enhance deployment processes and system reliability.
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CACI International is seeking a Senior Cloud DevOps Engineer to architect and manage cloud networking solutions primarily in AWS and Azure. The role involves automating deployments, managing Kubernetes clusters, and enhancing cloud security.
Urban Ridge Supplies is seeking a DevOps Engineer to build and scale cloud-native infrastructure while integrating AI technologies. This role involves hands-on work across multi-cloud platforms and collaboration with engineering and product teams.
Urban Ridge Supplies is seeking a DevOps Engineer to build and scale cloud-native infrastructure while integrating AI technologies. This role involves hands-on work across multi-cloud platforms and collaboration with engineering and product teams.