Senior DevOps Engineer (Part-Time)

Description 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. 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. Nice to have: HIPAA, healthcare, or regulated-environment experience. GCP exposure, especially Vertex AI or Cloud Logging. Observability experience with Loki and Grafana. Exposure to MLOps or AI/ML infrastructure. Experience supporting globally distributed or 24/7 production systems. 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.