• Monitor, operate, and support production AI infrastructure platforms • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents • Support NVIDIA GPU infrastructure and associated platform services • Monitor and troubleshoot Kubernetes-based environments • Investigate performance, availability, and reliability issues across infrastructure and platform components • Collaborate with engineering teams, hardware vendors, Data Center personnel, and service delivery teams to resolve technical issues • Participate in incident response, root cause analysis, and operational improvement activities • Contribute to improvements in monitoring, observability, automation, and operational processes • Maintain operational documentation, runbooks, and knowledge articles

Role Description We are seeking a skilled Azure Infrastructure 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 - 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. 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 experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications. - Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code. - Deep understanding of cloud security principles, identity management, and compliance frameworks. - Experience implementing monitoring, alerting, and observability strategies across distributed workloads. - Strong troubleshooting, communication, and documentation skills. Requirements - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services, with explicit attention to scalability, security, and total cost of ownership. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups. - Implement secure identity, access management, and governance controls using Azure Active Directory. - Architect and operate Azure Kubernetes Service (AKS) clusters. - Deploy, scale, and tune Azure data and analytics platforms. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions. - Design and implement robust observability practices using Azure Monitor and other tools. - Drive Azure cost optimization initiatives. - Implement disaster-recovery and business-continuity strategies. - Strengthen security posture by integrating Microsoft Defender for Cloud and other security tools. - Collaborate closely with application teams to architect cloud-native solutions. - Develop automation scripts and tooling in PowerShell, Bash, and Python. - Mentor junior engineers and lead architecture reviews. Benefits - 100% Remote (U.S.) - Full-time, Direct W2 - Salary Range: $100,000–$150,000 Annually Company Description 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.

• Administer and develop the office network infrastructure (primarily MikroTik, with Ubiquiti deployed in several locations). • Reconfigure network segmentation across all office locations, optimize the existing infrastructure, and eliminate bottlenecks. • Design and implement high-availability solutions for network equipment and WAN connectivity. • Deploy network monitoring systems and introduce additional services to simplify network administration. • Maintain and update the corporate knowledge base (Wiki), keep network diagrams for major office locations current, and manage the organization's IP address space (IPAM). • Remotely prepare and configure network equipment for new office openings. • Work closely with Internet service providers (ISPs) and the team responsible for the data center network core. • Diagnose and resolve incidents related to network infrastructure and associated services.

• Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments. • Own the lifecycle management for GNI Kubernetes environments, including cluster onboarding, upgrades, capacity, availability, and recovery. • Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and safe multi-cluster delivery through GitOps. • Provide production support for network services hosted on the platform, working with Network Automation and service teams that retain ownership of application architecture, code, and features. • Diagnose complex Kubernetes platform and hosted-service failures involving control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies. • Drive issues from initial signal through verified resolution. • Define production-readiness and observability standards for the platform and hosted network services, including health signals, capacity, alerts, runbooks, and recovery. • Participate in CFR’s production on-call rotation, including scheduled after-hours and weekend coverage. • Lead incident response and recovery, then drive corrective actions to completion.