AWS DevOps Architect

Job not on LinkedIn

🔥 3 minutes ago

🏈 Ohio – Remote

infoinfo

⏰ Full Time

🟠 Senior

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

Where this job comes from

Posted on Pharmacy Data Management, Inc. (PDMI)'s careers page, not through a job board

First seen by Remote Rocketship 3 minutes ago

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Logo of Pharmacy Data Management, Inc. (PDMI)

Pharmacy Data Management, Inc. (PDMI)

51 - 200 employees

Founded 1988

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Pharmacy Data Management, Inc. (PDMI) is a company specializing in pharmacy data processing and administration services. Founded in 1984, PDMI offers a range of services tailored to private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans, and hospital systems. The company emphasizes transparency and provides clients with full access to their data 24/7. PDMI offers Pharmacy Benefit Administrative Services, 340B Administration, as well as Hospice and Long-Term Care Services, ensuring efficient and effective solutions for their clients. The company prides itself on its independence from wholesalers and specialty pharmacies, allowing for unbiased service without hidden agendas or fees.

📋 Description

• 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

• 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

• 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

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