Role overview

Qualifications

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

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

Key facts

Remote from: Argentina
Fixed term
Mid-level (2-5 years)
DevOps Engineer
English

Other skills

Curiosity
Adaptability

About the company

Workana

With +10 years in the market, Workana is the largest remote work platform for hiring top talent in Latin America. We match great talent with exciting opportunities and we love doing it. We believe remote work promotes equal and unprecedented growth opportunities for both companies and talent. We are proud to contribute to this new way of working by connecting freelancers to unique projects and by matching certified developers with long-term roles. More than 600,000 companies find talent on Workana to move their professional projects forward. Meanwhile, we are helping more than 3 million freelancers develop their professional careers independently. Talent is at the core of what we do. Learn more at www.workana.com

Company details

Company size51 - 200

Links

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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.