Cloud Solutions Engineer – Azure

Cloud Solutions Engineer – Azure - 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: Cloud Solutions Engineer – Azure
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 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.

Key Responsibilities

• 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, treating infrastructure changes with the same rigor as application code through version control and peer review.
• Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups to enforce strong segmentation and least-privilege connectivity between workloads.
• Implement secure identity, access management, and governance controls using Azure Active Directory, conditional access, role-based access control, and Azure Policy to ensure compliance with internal and regulatory standards.
• Architect and operate Azure Kubernetes Service (AKS) clusters, including node pool design, auto-scaling, network policy, and integration with container registries and service meshes.
• Deploy, scale, and tune Azure data and analytics platforms such as Azure SQL, Cosmos DB, Synapse Analytics, Data Factory, and Event Hubs to meet specific workload patterns and SLAs.
• Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions, enabling fast, automated, and auditable releases of both infrastructure and application code.
• Design and implement robust observability practices using Azure Monitor, Log Analytics, Application Insights, and third-party tooling, with thoughtful dashboards, alerting, and SLO tracking.
• Drive Azure cost optimization initiatives, including right-sizing, reserved-instance planning, lifecycle policies, and architectural changes that meaningfully reduce monthly cloud spend.
• Implement disaster-recovery and business-continuity strategies, including backup, geo-replication, failover testing, and documented runbooks that have been validated through regular drills.
• Strengthen security posture by integrating Microsoft Defender for Cloud, Sentinel, key vault, and managed identities, and by routinely remediating findings from compliance scans.
• Collaborate closely with application teams to architect cloud-native solutions, advising on patterns, anti-patterns, and Azure-native services that best fit each problem domain.
• Develop automation scripts and tooling in PowerShell, Bash, and Python to streamline repetitive operational work and reduce time-to-resolution for common incidents.
• Mentor junior engineers, lead architecture reviews, and contribute actively to internal communities of practice around Azure and DevOps.

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 …