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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 #RadicalmenteMejor
No 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 Do
- Work within a development team building high-performance detection and analytics services for Latin America
- Deploy and maintain services that provide real-time responses in under 200 milliseconds
- Collaborate closely with US-based teams during onboarding and implementation phases
- Build and deploy services connected to analytical databases for model inference
- Work with complex data pipelines for moving data for ML model training and inference
- Enable Data Scientists to perform their research and development
- Produce maintainable, scalable, and high-quality software solutions
- Demonstrate curiosity and energy to quickly get up to speed with implementations through hands-on learning
- Participate in peer design and code reviews
- Incorporate monitoring, logging, and tracing with tools such as DataDog and Snowflake
- Participate in team standups and retrospectives
What Experience You Need
- BS in Computer Science, Engineering, or equivalent experience
- 3–5 years of strong software engineering experience with Golang (REQUIRED) - must have completed at least one end-to-end project in Go
- 3+ years building RESTful APIs and/or gRPC within a distributed microservice architecture
- 3+ years implementing AWS services (IAM, Lambda, EKS, Neptune, DynamoDB, RDS)
- Experience deploying services connected to analytical databases
- Experience with data pipelining and ETL processes
- In-depth experience with Docker
- 3+ 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 statistics
- Experience with relational, graph, and NoSQL databases
- Experience with Spark/PySpark and Amazon EMR
- AWS 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 Security
Corporate benefits will depend on where in LATAM you are located!
Key Skills
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