Cloud Infrastructure DevOps Engineer in Herndon

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Job DescriptionJob DescriptionPosition Title: Cloud Infrastructure DevOps Engineer
Location: Fully Remote
Duration: Contract (Potential Contract-to-Hire)
Citizenship Requirement: Must be a US

Position Overview:
We are seeking a Cloud Infrastructure DevOps Engineer to support highly critical production environments across AWS, Azure, and GCP. This individual will be responsible for building and maintaining scalable, cloud-agnostic infrastructure using automation, infrastructure-as-code, and CI/CD pipelines. The ideal candidate brings strong hands-on DevOps expertise, a deep understanding of multi-cloud environments, and a proactive, ownership-driven mindset.

Key Responsibilities:

• Develop and maintain reusable Terraform modules to support infrastructure across AWS, Azure, and GCP
• Build, modify, and troubleshoot Ansible playbooks for infrastructure automation and configuration management
• Develop and maintain Python scripts for automation, including serverless functions (AWS Lambda, Azure Functions, GCP)
• Design, implement, and maintain CI/CD pipelines using tools such as GitLab CI and ArgoCD
• Apply GitOps principles to manage infrastructure and application deployments
• Troubleshoot and resolve deployment and infrastructure issues in production environments
• Collaborate with cross-functional teams to improve operational processes and system reliability
• Ensure scalable, secure, and highly available cloud infrastructure across multi-cloud environments
• Drive best practices and continuous improvements across DevOps and cloud engineering processes

Required Qualifications:

• 8 years of experience in cloud infrastructure, DevOps, or related engineering roles
• Strong hands-on experience with AWS, Azure, and GCP including core services (compute, storage, networking, IAM, serverless, monitoring)
• Deep expertise in Terraform for infrastructure-as-code across multi-cloud environments
• Experience with Ansible for configuration management and automation
• Hands-on experience with CI/CD tools such as GitLab CI and ArgoCD
• Strong experience with Kubernetes and container orchestration
• Proficiency in Linux system administration
• Strong scripting and automation experience using Python
• Experience implementing GitOps practices for deployment and infrastructure management

Qualifications:

• Experience integrating AI-driven tools to enhance operational efficiency
• Experience working in highly regulated or enterprise-scale environments
• Strong troubleshooting and performance optimization experience in production systems

Additional Requirements:

• Must be a US
• Must be comfortable working in a fully remote environment
• Must be open to potential contract-to-hire conversion

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