Senior DevOps Engineer (Part-Time)

Job Description

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.

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.

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

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.