• Architect and execute a comprehensive overhaul of our existing CI/CD pipelines (leveraging tools like GitHub Actions/Pipelines) to enhance speed, reliability, and security, preparing our delivery process for future growth. • Proactively identify, diagnose, and resolve complex infrastructure and application issues (performance, availability, scaling) across our production environments (primarily AWS, with exposure to GCP). • Design and manage infrastructure as code (IaC) using Terraform to provision and maintain resilient, scalable, and cost-effective cloud resources. • Collaborate closely with software engineering teams to embed SRE principles, optimize application performance, and eradicate developer friction points and bottlenecks. • Document technical systems, processes, and workflows thoroughly to ensure clarity, maintainability, and operational consistency.

• Manage and evolve Cloud infrastructure practices, principles, services, standards, community, and policies; • Actively participate in project deployments involving Cloud environments; • Automate tasks that are currently performed manually (Infrastructure as Code - IaC); • Define and support cluster architecture for microservices, correct instance sizing, and scalability and upgrade processes; • Evaluate and improve observability metrics focused on software products; • Facilitate resource configuration.

• Estruturar e manter pipelines de CI/CD para ambientes de desenvolvimento, homologação e produção; • Realizar a conteinerização de aplicações, garantindo padronização e escalabilidade dos ambientes; • Provisionar e gerenciar infraestrutura utilizando práticas de Infrastructure as Code (IaC); • Configurar e integrar ambientes com ferramentas de IA e desenvolvimento, como GitHub e soluções do ecossistema AI/Cockpit; • Monitorar desempenho, disponibilidade e confiabilidade das aplicações e infraestrutura na AWS; • Apoiar processos de deploy e sustentação de microsserviços em ambiente cloud; • Atuar no suporte técnico e onboarding de times nas ferramentas, processos e ambientes do projeto; • Garantir boas práticas de automação, segurança e eficiência operacional.

Role 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. 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. 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. - 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. Requirements - 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.