Sr. Azure Cloud Engineer

Position Responsibilities

• Design, implement, and manage secure, scalable, and resilient multi-cloud architectures across Azure, OCI, and GCP environments
• Develop and maintain Infrastructure as Code (IaC) using Terraform and configuration management tools such as Ansible
• Build, optimize, and maintain CI/CD pipelines using tools such as Jenkins to enable automated, reliable software and infrastructure delivery
• Design and implement cloud networking solutions, including virtual networks, routing, connectivity, and security controls
• Leverage emerging Agentic AI tools and capabilities to enhance automation, operational intelligence, and cloud management efficiency
• Occasional travel within continental U.S. as needed, up to 5%
• Other projects or duties as assigned

Required Education and Experience

• Bachelor's Degree in Computer Science, Information Technology, or a related discipline with 4 to 6 years of hands-on experience designing, deploying, and supporting solutions in public cloud environments (Azure, OCI required) or High School Diploma/General Education Degree (GED) and 7 to 9 plus years of specific experience
• Deep expertise in DevOps practices, with a strong track record of automating infrastructure and application delivery
• Advanced experience building and managing CI/CD pipelines using tools such as Jenkins with minimal oversight
• Strong proficiency with Infrastructure as Code (IaC) and automation frameworks, including Terraform and Ansible
• Solid understanding of source control management using GitHub, including branching strategies and GitFlow methodologies
• Experience administering and supporting both Windows and Linux server environments in the cloud
• Proficiency in one or more programming or scripting languages such as Python, PowerShell, or Bash

Preferred Education and Experience

• Bachelor's Degree
• Experience developing and deploying autonomous or semi-autonomous agents to automate operational or development workflows
• Hands-on experience leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, or similar agentic AI platforms to improve productivity and code quality
• Cloud certifications such as Azure Solutions Architect, OCI Architect Professional, or Google Professional Cloud Architect
• DevOps and automation certifications (e.g., HashiCorp Terraform Associate, Kubernetes certifications, or similar)
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with observability and monitoring platforms (e.g., Prometheus, Grafana, Datadog, or Azure Monitor)
• Understanding of cloud cost optimization strategies and FinOps practices
• Experience implementing zero-trust architectures or advanced cloud security frameworks
• Exposure to event-driven architecture, serverless computing, and modern application design patterns
• GCP highly preferred

Benefits

• Medical, Dental, and Vision coverage
• Paid Time Off
• Retirement Benefits
• Complimentary Health Screenings