AWS DevOps Architect

PDMI is looking for an AWS DevOps Architect to design, build, automate, and operate scalable, secure, and resilient AWS infrastructure supporting AI, data engineering, and application engineering workloads. This hands-on platform engineering role combines AWS architecture expertise with advanced Terraform development, Infrastructure as Code, Kubernetes, Linux/Unix administration, and infrastructure scripting. This position is responsible for modernizing CI/CD pipelines, integrating automated security and compliance controls, and resolving complex infrastructure and deployment issues to improve reliability, performance, and cost efficiency.

Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.

Why Join Us:  

• Best Employer: PDMI was voted Best Employer in Ohio for the 6th consecutive year in 2026!
• Meaningful Work: Contribute to improving healthcare quality and efficiency.
• Collaborative Environment: Work with passionate professionals who share your drive.
• Exciting Challenges: Every day brings new opportunities to excel.
• Flexible Work: Fully remote opportunity (from approved locations within the U.S.) with a company that cares.

Key Responsibilities:  

• Design and maintain Infrastructure as Code using Terraform and, where appropriate, CloudFormation across multi-account AWS environments.
• Build reusable Terraform modules and automation that teams can apply consistently 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 that enforce 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 complex infrastructure, deployment, networking, and platform issues.
• Improve platform reliability, observability, performance, capacity, and cost efficiency through automation.
• Use AI-assisted engineering tools to improve infrastructure development, scripting, troubleshooting, and documentation, while validating outputs for accuracy, security, and alignment with organizational standards.
• Develop and maintain automation using the AWS CLI, Python, Bash, and/or Shell to provision, configure, manage, and troubleshoot AWS resources 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.

Qualifications – Education, Experience, Certifications:  

• Bachelor’s degree in Computer Science, Information Technology, or a related field required; Master’s degree preferred, or equivalent combination of education and experience required.
• 10+ years of combined experience in DevOps, infrastructure, or platform engineering required.
• 5+ years of hands-on experience designing, provisioning, and supporting AWS infrastructure required.
• 5+ years of experience developing production Infrastructure as Code using Terraform and/or CloudFormation required.
• 5+ years of experience supporting Linux/Unix systems, Kubernetes, and containerized environments required.
• 5+ years of experience automating infrastructure and operational processes using Python, Bash, Shell, or similar scripting languages required.
• 5+ years of experience using GitHub, GitLab, Azure DevOps, or similar source-control platforms, including 3+ years building CI/CD workflows using GitHub Actions, ArgoCD, CodeBuild, or similar tools required.
• Strong understanding of AWS architecture, cloud networking, security, IAM, and compliance required.
• 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.

Additional Information:

PDMI is an equal opportunity employer and prohibits discrimination based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. PDMI complies with the Americans with Disabilities Act (ADA) and provides reasonable accommodations to qualified individuals with disabilities. This job ad is not intended to be all-inclusive and is subject to change; employees may perform other related duties as assigned. Employment with PDMI is at-will, meaning either the employee or the company may terminate the relationship at any time, with or without cause, except as required by law.

AI Usage & Candidate Authenticity: 

AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.

All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.