DevOps Specialist – US-Based, Pacific Time Zone

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist with daily AWS Cloud Operations and DevOps tasks while enhancing operational standards and best practices.

• Design, provision, maintain, and optimize highly available and scalable AWS infrastructure.

• Create and manage Infrastructure as Code using Terraform, AWS CloudFormation, and Ansible.

• Develop and sustain automated workflows for infrastructure provisioning, deployment, configuration, upgrades, backups, and recovery.

• Support containerized and microservices environments utilizing Docker, Kubernetes, and Amazon EKS.

• Oversee Kubernetes deployments, including cluster configuration, scaling, upgrades, monitoring, troubleshooting, and lifecycle management.

• Construct, maintain, and enhance CI/CD pipelines and Git-based deployment workflows.

• Take ownership of the operational lifecycle of infrastructure that supports AI-driven products and services, encompassing provisioning, deployment, scaling, monitoring, troubleshooting, security, and cost optimization.

• Deploy, manage, monitor, and secure Model Context Protocol (MCP) servers.

• Handle MCP integrations, authentication, granular access permissions, secrets, database connectivity, and external service integrations in alignment with security and data privacy standards.

⛳️ Requirements

• 3–5 years of practical experience with Amazon Web Services (AWS) in production settings.

• Strong hands-on expertise with Kubernetes, Amazon EKS, and Docker in Linux environments.

• Significant experience with Infrastructure as Code, particularly with Terraform and/or AWS CloudFormation.

• Proven experience in designing and supporting automated infrastructure provisioning and deployment pipelines.

• Familiarity with Git, modern CI/CD pipelines, and DevOps methodologies.

• Solid understanding of AWS networking, security architecture, IAM, encryption, secrets management, and vulnerability management.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent professional experience.

• Excellent written and verbal communication abilities.

• Strong sense of ownership and responsibility for production systems.

• Proficient technical documentation skills.

• Ability to pragmatically assess new technologies.

• Strong analytical and problem-solving capabilities.

• Capability to manage an on-call schedule and conduct deployments outside regular business hours.

• Must reside in the United States.

• Must be legally authorized to work in the U.S.

• Availability during Pacific Time business hours is required.

🏝️ Benefits

• Remote position.

• Opportunity to contribute to modern AI/LLM platforms, AI agents, and Model Context Protocol (MCP) services.

• Equal Opportunity Employer dedicated to diversity, equity, and inclusion.