AWS Cloud Operations Engineer

Pharmacy Data Management, Inc.•Poland, OH

23d•Remote

About The Position

PDMI is looking to add an AWS Cloud Operations Engineer to our team! As an AWS Cloud Operations Engineer, you will deploy, manage, and optimize cloud infrastructure and applications in AWS environments. This role ensures seamless, secure, and efficient deployment of infrastructure and application code, working closely with internal IT and development teams to maintain a highly available and scalable cloud ecosystem. 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 5th consecutive year in 2025! 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 with a company that cares.

Requirements

3+ years of hands-on AWS engineering or DevOps experience (production-grade)
Strong experience building and operating CI/CD pipelines using: GitHub Actions (required) AWS CodePipeline / CodeBuild / CodeDeploy
Strong experience with EKS (Kubernetes fundamentals, deployments, autoscaling, node groups/Fargate, networking)
Experience with ECS/Fargate, container registries, image lifecycle management, and security
Hands-on experience with: Terraform (preferred) or CloudFormation EC2, VPC, routing, load balancing, security groups S3, IAM, KMS, Secrets Manager Lambda, Step Functions, EventBridge RDS/Aurora or DynamoDB
Understanding of multi-account AWS environments, SSO/Identity, and production governance
Ability to diagnose complex AWS issues (networking, IAM, CI/CD, K8s failures)
Scripting ability in Python, Bash, or PowerShell (good to have)
Strong communication skills and the ability to work closely with developers while owning production reliability
Experience with Datadog (Logging, APM, RUM, synthetic tests)
Experience with Confluent Kafka or event-streaming architectures
Familiarity with modern IaC patterns (modules, GitOps, reusable pipelines)
Familiarity with GitHub administration, branch protection, runners, or organization-level DevOps processes
Experience in healthcare, compliance-heavy, or regulated environments

Nice To Haves

Scripting ability in Python, Bash, or PowerShell (good to have)
Hands-on experience with: Terraform (preferred)

Responsibilities

Own and manage all production AWS environments across multi-account Control Tower architecture (Shared, Prod, Dev, and specialized workloads)
Build, maintain, and troubleshoot CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild, and CodeDeploy
Deploy and operate containerized applications using Amazon EKS (Kubernetes) and Amazon ECS / Fargate
Support microservices architecture, service mesh, sidecars, and container security best practices
Automate infrastructure provisioning using Terraform, CloudFormation, and AWS-native tools (SSM, Lambda, Step Functions)
Manage and optimize core AWS services, including: Compute: EC2, ASGs, Launch Templates Networking: VPC, TGW, Security Groups, Route53, VPN/Direct Connect, NAT Gateways, ALB/NLB Storage: S3, EBS, EFS Databases: RDS (MySQL, SQL Server), Aurora, DynamoDB Monitoring & logging: CloudWatch, AWS Config, GuardDuty, Inspector; Datadog for monitoring, alerting, dashboards, and APM
Implement and enforce security, governance, and best practices across IAM, KMS, SSM Parameter Store, Secrets Manager
Support and troubleshoot production workloads, including performance bottlenecks, networking issues, and container failures
Work closely with the development team, but maintain ownership of production infrastructure, deployments, and reliability
Participate in on-call rotation for production-critical services
Utilize Kafka / Confluent Cloud, CI platform integrations, and microservices observability