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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.
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