ironquill.tech/board

$ cat jobs/azure-cloud-engineer-bright-vision-technologies-30c4f981cad9.json

Azure Cloud Engineer

bright vision technologies·US·United States·mid
kubernetesterraformazuredevopssre
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Azure Cloud Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Azure Cloud Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $95,000–$125,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a skilled Azure Cloud Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads. The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments. Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings. Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale. Hands-on expe

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