Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q03jp

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, adecuado 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.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q03jp

📌 Senior DevOps Engineer (Part-Time) (Argentina)
🏢 Workana
📍 Argentina