Sr. IT 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.