Senior DevOps Engineer (Part-Time)

## About the role MedXprts.ai is looking for a Senior DevOps / Platform Engineer to support and evolve a production AI medical-legal report platform. The platform is already live and running on AWS EKS across a multi-account AWS Organization under HIPAA requirements. This is not a greenfield build. The focus is to keep production stable, improve the existing infrastructure, strengthen observability and compliance, and help the team move faster. This is a part-time remote role, around 20 hours per week, ideal for someone senior, hands-on, and adaptable. The team is looking for someone with strong DevOps fundamentals who also enjoys learning new technologies, working with modern AI-enabled workflows, and improving systems over time. ## Responsibilities - Maintain and improve a production AWS/Kubernetes platform, including incidents, deploys, rollbacks, IAM changes, and infrastructure troubleshooting. - Support ongoing platform evolution, including environment separation, release versioning, workflow monitoring, and production migrations. - Improve observability, alerting, and platform reliability using tools such as Loki and Grafana. - Support HIPAA-oriented infrastructure hardening, including encryption, access controls, audit logs, and secure operational practices. ## Requirements - Senior-level DevOps / Platform Engineering experience in production environments. - Strong AWS experience, including IAM, cross-account access, EKS/Fargate, RDS, DynamoDB, S3, and KMS. - Solid production Kubernetes, Docker/container, CI/CD, Linux, and networking experience. - Experience with automation using Python and shell scripting. - Strong troubleshooting skills and ability to work independently without heavy micromanagement. - Adaptable, curious, and comfortable learning new technologies as the platform evolves. - Availability for approximately 20 hours per week, with overlap with U.S. Eastern working hours. ## Benefits - Remote role open to LATAM candidates. - Part-time engagement of approximately 20 hours per week. - Opportunity to work on a production AI platform in the medical-legal / healthcare space.