Cloud Engineer

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Deploy, configure, and oversee Azure cloud resources, encompassing compute, storage, networking, and identity services.

• Support and maintain the Azure infrastructure, which includes VMs, App Services, Functions, Storage Accounts, and VNets.

• Automate routine tasks and operational workflows utilizing PowerShell, Bash, or Python.

• Monitor cloud performance, availability, and costs through Azure Monitor, Log Analytics, and Alerts.

• Assist in the implementation of cloud security best practices such as RBAC, conditional access, encryption, and policy compliance.

• Troubleshoot issues within the cloud infrastructure across compute, network, and identity layers.

• Provide support to application teams with cloud deployments, configuration, and environment setup.

• Participate in incident response and offer operational support for cloud-hosted workloads.

• Maintain documentation regarding cloud configurations, standards, and operational procedures.

• Work on optimizing cloud costs and ensure necessary documentation is maintained.

• Explore and evaluate new AI-enabled cloud capabilities, including Azure AI Foundry, Model Context Protocol/agentic tooling, and share innovative ideas with the team.

⛳️ Requirements

• Bachelor’s Degree in Arts/Sciences (BA/BS) in Computer Science or a related field in Information Technology. Required.

• 4-6 years of senior cloud engineering experience with hands-on Azure expertise. Required.

• Strong comprehension of core Azure services, including VMs, Storage, VNets, Load Balancers, AD/Entra ID, RBAC, App Services, Functions, Logic Apps, Monitor, and Log Analytics.

• Experience in supporting production cloud environments.

• Solid grasp of networking fundamentals: DNS, routing, firewalls, and VPN.

• Proficiency in scripting with PowerShell, Bash, or Python.

• Experience with Infrastructure as Code tools like Terraform, Bicep, or ARM.

• Familiarity with CI/CD pipelines utilizing Azure DevOps or GitHub Actions.

• Knowledge of Windows and Linux administration within cloud environments.

• Experience in cost optimization and cloud governance.

• Exposure to AI-enabled Azure tools such as Azure AI Foundry, Azure OpenAI, or agentic/MCP-based frameworks.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional growth and development.

• Supportive team environment and collaborative culture.