Azure Cloud Engineer
Bright Vision Technologies
Azure Cloud Engineer Job Title: Azure Cloud Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long‑term, multi‑year SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits Employment Terms & Visa Policy: This is a 100% remote, full‑time, direct W2 position with Bright Vision Technologies. No new H1B sponsorship is available; H1B transfers are welcomed for qualified candidates. We do not engage in C2C, 1099, or third‑party arrangements for this role. Candidates must be willing to work directly as a full‑time W2 employee of Bright Vision Technologies and contribute to our in‑house SOW deliverables. 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. The role covers end‑to‑end cloud engineering lifecycle, including architecture, infrastructure‑as‑code, automation, security hardening, cost optimization, observability, and operational excellence for production workloads. 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 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 compute, storage, networking, identity, and PaaS 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. Preferred Qualifications Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification. Experience operating hybrid cloud or multi‑cloud environments spanning Azure and on‑premises infrastructure. Familiarity with service mesh technologies such as Istio or Linkerd on AKS. Exposure to FinOps practices and cloud cost‑management tooling. Experience with regulated environments such as HIPAA, PCI‑DSS, SOC 2, or FedRAMP. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. #J-18808-Ljbffr Bright Vision Technologies
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