Data Platform Engineer | Toda Latinoamérica

Hay empresas que están cambiando el mundo, y detrás de ellas, hay equipos que necesitan ir más lejos, pensar distinto, moverse más rápido. Ahí entramos nosotros.En Acid Labs nos sumamos a los equipos tech de las empresas que están liderando el futuro digital en las industrias más desafiantes en Latinoamérica, con talento especializado que entiende la complejidad, respira colaboración y encuentra claridad donde otros ven ruido.Y lo hacemos #RadicalmenteMejorNo trabajamos para nuestros clientes.Trabajamos con ellos.Desde adentro.Como parte de su ritmo.Como una extensión natural de su capacidad tecnológica.¡Nos encontramos en búsqueda de un Data Platform Engineer bilingüe!What You Will DoWork within a development team building high-performance detection and analytics services for Latin AmericaDeploy and maintain services that provide real-time responses in under 200 millisecondsCollaborate closely with US-based teams during onboarding and implementation phasesBuild and deploy services connected to analytical databases for model inferenceWork with complex data pipelines for moving data for ML model training and inferenceEnable Data Scientists to perform their research and developmentProduce maintainable, scalable, and high-quality software solutionsDemonstrate curiosity and energy to quickly get up to speed with implementations through hands-on learningParticipate in peer design and code reviewsIncorporate monitoring, logging, and tracing with tools such as DataDog and SnowflakeParticipate in team standups and retrospectivesWhat Experience You NeedBS in Computer Science, Engineering, or equivalent experience3–5 years of strong software engineering experience with Golang (REQUIRED) - must have completed at least one end-to-end project in Go3+ years building RESTful APIs and/or gRPC within a distributed microservice architecture3+ years implementing AWS services (IAM, Lambda, EKS, Neptune, DynamoDB, RDS)Experience deploying services connected to analytical databasesExperience with data pipelining and ETL processesIn-depth experience with Docker3+ years using Infrastructure as Code (IaC) tooling such as Terraform and Helm Fluent English (must be able to collaborate effectively with US-based teams and undergo technical interviews in English)Strong communication skills and ability to work in a collaborative, cross-border team environment Curious mindset with energy to tackle challenges and learn quickly by doing.What Could Set You Apart Python experience (highly desirable) Basic understanding of Machine Learning concepts, probability, and statisticsExperience with relational, graph, and NoSQL databasesExperience with Spark/PySpark and Amazon EMRAWS Certification(s)Experience with metrics, monitoring, and visualization tools (e.g., DataDog)Experience with DevOps patterns and tools (GitLab, DataDog, Helm)Knowledge of OWASP, Cryptography, and PCI Data SecurityCorporate benefits will depend on where in LATAM you are located!