Role Description Estamos en búsqueda de: Platform Engineer / DevOps Azure (GenAI & Kubernetes) - Diseñar, construir y operar plataformas cloud-native sobre Azure, garantizando estabilidad, seguridad y escalabilidad en entornos productivos. - Administrar y evolucionar clústeres Kubernetes en producción, aplicando buenas prácticas de alta disponibilidad, seguridad y observabilidad. - Diseñar e implementar pipelines CI/CD para despliegue continuo de microservicios y soluciones basadas en APIs. - Colaborar con equipos de desarrollo y arquitectura para habilitar entornos de ejecución para soluciones GenAI/LLM bajo estándares corporativos y regulatorios. - Implementar soluciones de observabilidad distribuida y monitorización mediante OpenTelemetry. - Asegurar el cumplimiento de requisitos normativos y de seguridad en entornos cloud regulados. Qualifications - Entre 4 y 6 años de experiencia en platform engineering, DevOps, SRE o cloud engineering (Azure, AWS o GCP), con al menos 2 años en entornos productivos y mínimo 6 meses en entornos GenAI/LLM o especialización demostrable. - Experiencia en entornos con altos requisitos de cumplimiento normativo (banca, seguros, utilities, sector público u otros regulados). - Experiencia real operando Kubernetes en producción (AKS, EKS o GKE). - Experiencia sólida en Azure, especialmente en servicios core de plataforma. - Experiencia diseñando e implementando pipelines CI/CD con GitHub Actions o Azure DevOps. - Conocimiento práctico de Azure Container Registry (ACR), Azure Key Vault y Microsoft Entra ID para gestión de identidades. - Experiencia con OpenTelemetry y diseño de soluciones de observabilidad distribuida. - Experiencia en despliegue de microservicios con Docker y patrones cloud-native. - Conocimientos de networking cloud y seguridad básica (TLS, control de egress, segmentación de red, RBAC). - Dominio de Python, especialmente con FastAPI o frameworks equivalentes para construcción de APIs y middleware. Requirements - Deseables: - Experiencia previa trabajando con equipos de arquitectura o habilitación de plataformas internas. - Conocimientos adicionales en prácticas SRE y automatización avanzada. - Certificaciones cloud (Azure, Kubernetes o similares). Benefits - Contrato indefinido con salario competitivo. - Modalidad flexible y posibilidad de trabajo remoto. - Plan de carrera personalizado y formación continua. - Participación en proyectos estables con alto componente técnico. - Flexibilidad horaria y enfoque en la conciliación. - Beneficios sociales adaptados a tus necesidades.

• Oversee and enhance our cloud infrastructure (Google Cloud, Terraform) and software architecture to ensure optimal security and efficiency, while leading modernization and scaling efforts. • Identify vulnerabilities, and mitigate risks, staying ahead of emerging threats to safeguard sensitive data and maintain compliance. • Implement advanced monitoring (Grafana) to continuously track and analyze system performance, optimizing processes to prevent failures and minimize downtime for maximum system visibility. • Collaborate closely with product development teams to align infrastructure improvements with business objectives and contribute to the strategic direction of IT operations.

• Design, build, and maintain CI/CD pipelines for automated build, test, and deployment workflows • Manage cloud infrastructure on AWS (EC2, Amazon Connect, S3, Lambda, VPC, IAM, etc.) • Deploy and manage containerized applications using Docker and Kubernetes • Implement Infrastructure as Code (IaC) using Terraform or CloudFormation • Monitor system performance and reliability using observability tools (Prometheus, Grafana, CloudWatch, etc.) • Automate repetitive tasks and improve operational efficiency • Ensure system security, compliance, and best practices in cloud environments • Collaborate with development teams to streamline release processes and troubleshoot issues • Manage logging, alerting, and incident response processes

Role Description This is a hybrid infrastructure and AI operations role — part traditional DevOps, part emerging AgentOps discipline. The DevOps/AgentOps Engineer owns the CI/CD pipelines, infrastructure-as-code, observability stack, and deployment automation for both the application platform and the AI agent layer. They work shoulder-to-shoulder with the Full-Stack and Backend engineers, guide and learn from KMS's build process, and own the shared services infrastructure on the Revelation Pharma side. This is a high-autonomy role for someone who wants to define how a modern health-AI platform is built, deployed, and monitored from day one. Qualifications - AWS Infrastructure (Expert): Deep hands-on experience with IAM policy design, VPC networking, KMS encryption, CloudWatch/CloudTrail, and at least 3 of: HealthLake, Bedrock, Lambda, Step Functions, ECS/Fargate, S3, Clean Rooms. - Infrastructure-as-Code (Expert): Production experience with Terraform or AWS CDK. - CI/CD & Deployment (Expert): End-to-end pipeline design (GitHub Actions, CodePipeline, or equivalent). - Observability & Monitoring (Strong): Production experience building observability stacks. - Security & Compliance (Strong): HIPAA technical safeguard implementation experience. - Agent/AI Operations (Developing to Strong): Experience deploying and monitoring LLM-based systems in production. Requirements - 5+ years in DevOps, SRE, or platform engineering roles with at least 2 years at a staff or senior level. - Production infrastructure experience in healthcare, fintech, or another regulated industry with formal compliance requirements. - Experience working in blended team models (internal + outsourced). - Demonstrated ability to work autonomously in early-stage environments. Benefits - Health care insurance (medical, dental, vision) - Life Insurance - Supplemental Insurance - PTO - 401K matching - Sick leave - Phone/internet reimbursement - Remote work - Top of the line machines