Pharmacy Data Management, Inc.

• →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.

• 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.

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 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.