• Work directly with customers to deploy, customize, and troubleshoot Firecrawl in production environments • Lead technical implementation for priority accounts from integration to optimization • Debug complex real-world issues involving APIs, crawling systems, data pipelines, and infrastructure constraints • Build reusable solutions, templates, and deployment playbooks based on recurring customer needs • Translate customer feedback into actionable insights for product and engineering teams • Collaborate closely with core engineers to improve reliability, performance, and usability • Define and document best practices for implementing Firecrawl at scale • Own customer issues end-to-end, ensuring successful outcomes without heavy process dependencies

• work with the engineering team to design the infrastructure to power our products and protocols. • work with the leadership team to build out and scale our security systems and processes to protect our company, products, and protocols from attackers. • design CI/CD processes that are resilient, scalable, and useful. • create monitoring systems that track important metrics and logs in a highly legible and accessible way, while making it easy for engineers to be alerted on anomalous behaviors. • invent internal tooling to solve problems proactively, as you notice common needs and pain points.

• Como DevOps Champion, serás el owner del ciclo completo de DevOps en proyectos sobre Azure, liderando la estrategia de CI/CD, automatización e infraestructura como código para ecosistemas como Azure Databricks y Microsoft Fabric. • Diseñar arquitecturas cloud desde cero y ejecutarlas de forma hands-on, asegurando estandarización, gobierno, seguridad y escalabilidad en todos los entornos. • Serás referente técnico y estratégico, defendiendo decisiones técnicas ante stakeholders, traduciendo requerimientos de negocio en soluciones técnicas robustas y promoviendo una cultura DevOps dentro de los equipos. • Diseñar pipelines multi-stage para entornos Dev / Test / Prod. • Implementar templates reutilizables y estrategias de versionamiento. • Configurar service connections, RBAC y automatizar validaciones. • Diseñar arquitectura cloud y automatizar provisión de recursos mediante IaC. • Definir arquitectura de suscripciones y políticas de gobierno. • Implementar monitoreo centralizado y observabilidad. • Integrar Application Insights y Log Analytics. • Gestionar seguridad, escaneo de vulnerabilidades y cumplimiento. • Definir estrategias de branching y versionado semántico. • Automatizar despliegue de notebooks y jobs en Databricks. • Diseñar estrategia de deployment en Microsoft Fabric. • Implementar integraciones serverless con Azure Functions y Logic Apps. • Liderar técnicamente equipos y promover mejores prácticas DevOps.

• Working with the Data Science Production Engineering team, to design and develop a Genomics Data System. • Develop genomics data file retrieve and archive solutions from various data sources and platforms, e.g., DNAnexus, AWS HealthOmics. • Develop databases that record and manage metadata of the genomics data files. • Develop automation solutions for genomics data file retrieval and metadata management. • Test, deploy, and maintain such systems. • Write technical documentations for such systems. • Provide training and technical support for other team members.