Cloud DevOps Engineer

Seamless Migration

4h•Remote

About The Position

Seamless Migration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) started in 2021 with the purpose of enabling businesses and organizations through automation. Our goal is to help organizations discover, implement, and maintain solutions which evolve and mature with their ever-changing business needs. We believe in applying agile methodologies in all aspects of our business practices and use these methods to ensure effective results for our clients. Seamless Migration is seeking a career and customer oriented Cloud Infrastructure DevOps Engineer to join our team. Work in a highly critical production environment where automation and systems engineering expertise is essential Support all three leading hyperscalers: AWS, Azure, and GCP Develop and maintain solutions across multiple cloud platforms Leverage infrastructure-as-code, CI/CD pipelines, and container orchestration tools to ensure reliable, scalable, and secure cloud operations Develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance Emphasize cloud-agnostic automation using tools like Terraform to build reusable infrastructure that works consistently across AWS, Azure, and GCP by leveraging common features across cloud providers Implement efficient engineering and operational processes and establish best practices to continuously enhance operational efficiency within and across teams Take full responsibility and end-to-end ownership of systems and tasks in production environments Develop and maintain reusable Terraform scripts; modify and run infrastructure code from existing modules; troubleshoot deployment issues across AWS, Azure, and GCP environments Develop new Ansible playbooks; modify, troubleshoot, and maintain existing Ansible code to automate infrastructure configuration and management tasks Develop and maintain Python scripts to automate operational tasks, including AWS Lambda functions and Azure Functions, to support infrastructure automation Design, implement, and maintain CI/CD pipelines using tools like GitLab CI and ArgoCD Write and optimize pipeline scripts for automated testing and deployment Leverage GitOps practices for managing infrastructure and application delivery

Requirements

8+ years of experience in cloud infrastructure, DevOps, or related engineering roles
Strong hands-on experience with public cloud platforms (AWS, Azure, GCP), including core services such as virtual networking, compute, storage, IAM, serverless functions, and monitoring
Deep hands-on expertise developing, maintaining, and troubleshooting infrastructure-as-code using Terraform across multi-cloud environments
Experience using Ansible to automate day-to-day operational tasks, including configuration management and troubleshooting of infrastructure resources
Hands-on experience with GitLab CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using GitOps principles
Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices
Proficient in Linux system administration and infrastructure automation using Python to streamline infrastructure management and operational tasks
Experience developing, deploying, and managing serverless functions using cloud-native services such as AWS Lambda, Azure Functions, and Google Cloud Functions
Deep hands-on expertise with Terraform, Ansible, Kubernetes, GitLab CI, and ArgoCD in production environments

Responsibilities

Support all three leading hyperscalers: AWS, Azure, and GCP
Develop and maintain solutions across multiple cloud platforms
Leverage infrastructure-as-code, CI/CD pipelines, and container orchestration tools to ensure reliable, scalable, and secure cloud operations
Develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance
Emphasize cloud-agnostic automation using tools like Terraform to build reusable infrastructure that works consistently across AWS, Azure, and GCP by leveraging common features across cloud providers
Implement efficient engineering and operational processes and establish best practices to continuously enhance operational efficiency within and across teams
Take full responsibility and end-to-end ownership of systems and tasks in production environments
Develop and maintain reusable Terraform scripts; modify and run infrastructure code from existing modules; troubleshoot deployment issues across AWS, Azure, and GCP environments
Develop new Ansible playbooks; modify, troubleshoot, and maintain existing Ansible code to automate infrastructure configuration and management tasks
Develop and maintain Python scripts to automate operational tasks, including AWS Lambda functions and Azure Functions, to support infrastructure automation
Design, implement, and maintain CI/CD pipelines using tools like GitLab CI and ArgoCD
Write and optimize pipeline scripts for automated testing and deployment
Leverage GitOps practices for managing infrastructure and application delivery