AWS DevOps Architect

Pharmacy Data Management, Inc. (PDMI)

. Design and maintain Infrastructure as Code using Terraform and, where appropriate, CloudFormation across multi-account AWS environments .

Posted 10/27/2026full-timeRemote • Ohio • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Infrastructure as Code using Terraform and CloudFormation, with a strong focus on AWS architecture, security, and compliance. Proven ability to automate CI/CD pipelines and mentor engineering teams while ensuring platform reliability and performance.

Highest-signal resume keywords

Infrastructure As CodeAWS ArchitectureTerraformCI/CD AutomationPython Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformCloudFormationAWS CLIPythonBashShell ScriptingKubernetesCI/CD PipelinesGitHub ActionsLinux/Unix Systems

Soft Skills

MentoringProblem-SolvingCommunication

Tools & Technologies

GitHubGitLabAzure DevOpsCodeBuildArgoCD

Certifications & Qualifications

AWS Certification

Industry Keywords

DevOpsInfrastructure EngineeringPlatform EngineeringMulti-CloudCompliance

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesLinuxPythonShell ScriptingTerraformUnix

About the role

Key responsibilities & impact

Design and maintain Infrastructure as Code using Terraform and, where appropriate, CloudFormation across multi-account AWS environments
Build reusable Terraform modules and automation for consistent use across environments
Apply AWS architecture, networking, IAM, security, resilience, and provisioning best practices
Build, improve, and automate CI/CD pipelines using GitHub Actions, CodeBuild, ArgoCD, or similar tools
Shift security, testing, policy validation, and compliance checks earlier in the delivery lifecycle
Develop Terraform-based integrations enforcing enterprise compliance requirements in CI/CD workflows
Automate infrastructure and operational processes using Terraform, Python, Bash, and Shell scripting
Support deployments across containerized environments, Kubernetes clusters, and data platforms
Troubleshoot complex pipelines and infrastructure spanning AWS, multi-cloud, and on-premises environments
Respond to incidents and resolve infrastructure, deployment, networking, and platform issues
Improve platform reliability, observability, performance, capacity, and cost efficiency through automation
Use AI-assisted engineering tools for infrastructure development, scripting, troubleshooting, and documentation while validating outputs
Develop and maintain AWS automation using AWS CLI, Python, Bash, and/or Shell across multiple accounts and environments
Design, implement, and validate highly available and resilient AWS infrastructure using multi-region architectures, load balancing, automated scaling, health monitoring, and tested failover procedures
Mentor junior and mid-level engineers and contribute to engineering standards, reusable patterns, and best practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, or a related field required; equivalent combination of education and experience required
10+ years of combined experience in DevOps, infrastructure, or platform engineering
5+ years of hands-on experience designing, provisioning, and supporting AWS infrastructure
5+ years of production Infrastructure as Code experience using Terraform and/or CloudFormation
5+ years supporting Linux/Unix systems, Kubernetes, and containerized environments
5+ years automating infrastructure and operational processes using Python, Bash, Shell, or similar scripting languages
5+ years using GitHub, GitLab, Azure DevOps, or similar source-control platforms
3+ years building CI/CD workflows using GitHub Actions, ArgoCD, CodeBuild, or similar tools
Strong understanding of AWS architecture, cloud networking, security, IAM, and compliance
AWS certification, preferably architecture-focused, preferred
Experience automating security and compliance controls within CI/CD pipelines preferred
Experience with multi-account AWS, multi-cloud, and hybrid or on-premises environments preferred
Experience supporting AI, data science, or other data-intensive workloads preferred
Successful pre-employment background check, including employment and education verification, and a 4-panel drug screen
Candidates must be able to clearly and confidently speak to all experience listed
Work samples, portfolio links, or other validation may be requested
Must comply with restrictions on AI tool use during interviews or assessments unless explicitly permitted

Benefits

Comp & perks

Fully remote opportunity from approved locations within the U.S.
Meaningful work contributing to healthcare quality and efficiency
Collaborative work environment
Flexible work
Best Employer recognition and opportunities to work on exciting challenges
Reasonable accommodations for qualified individuals with disabilities