DevOps Specialist – US-Based, Pacific Time Zone

🕒 August 14

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

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Messagepoint

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

💼 Consulting

🛡️ Insurance

☁️ SaaS

💰 $10M Debt Financing on 2022-05

Consulting • Insurance • SaaS

Messagepoint is an enterprise SaaS company that provides an intelligent content hub and customer communications management (CCM) platform for regulated, omni-channel communications. Its products offer no-code authoring for business users, headless APIs for developers, AI-powered content intelligence (MARCIE) for translation, optimization and migration, and add-ons for composition, delivery, and interactive customer-facing communications. The platform focuses on compliance, personalization, content reuse, and migration from legacy systems and serves industries such as financial services, healthcare (notably Medicare), insurance, mortgage servicing, and government.

📋 Description

• Support day-to-day AWS Cloud Operations and DevOps activities while improving operational standards and best practices • Design, provision, maintain, and optimize highly available and scalable AWS infrastructure • Build and maintain Infrastructure as Code using Terraform, AWS CloudFormation, and Ansible • Develop and maintain automated infrastructure provisioning, deployment, configuration, upgrade, backup, and recovery workflows • Support containerized and microservices-based environments using Docker, Kubernetes, and Amazon EKS • Manage Kubernetes deployments, cluster configuration, scaling, upgrades, monitoring, troubleshooting, and lifecycle management • Build, maintain, and improve CI/CD pipelines and Git-based deployment workflows • Own the operational lifecycle of infrastructure supporting AI-powered products and services, including provisioning, deployment, scaling, monitoring, troubleshooting, security, and cost optimization • Deploy, administer, monitor, and secure Model Context Protocol (MCP) servers • Manage MCP integrations, authentication, granular access permissions, secrets, database connectivity, and external service integrations in accordance with security and data privacy requirements

🎯 Requirements

• 3–5 years of hands-on experience working with Amazon Web Services (AWS) in production environments • Strong hands-on experience with Kubernetes, Amazon EKS, and Docker in Linux environments • Strong experience with Infrastructure as Code, particularly Terraform and/or AWS CloudFormation • Experience designing and supporting automated infrastructure provisioning and deployment pipelines • Experience with Git, modern CI/CD pipelines, and DevOps practices • Practical 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 field, or equivalent relevant professional experience • Strong written and verbal communication skills • Strong ownership and sense of responsibility for production systems • Strong technical documentation skills • Ability to evaluate new technologies pragmatically • Strong problem-solving and analytical skills • Ability to manage an on-call schedule and outside-business-hours deployments • Must reside in the United States • Must be legally authorized to work in the U.S. • Must be available during Pacific Time business hours

🏖️ Benefits

• Remote position • Opportunity to support modern AI/LLM platforms, AI agents, and Model Context Protocol (MCP) services • Equal Opportunity Employer committed to diversity, equity, and inclusion