Remote SDE II: Data Pipelines & AI Platforms

Amperity; Monterrey; A distancia; MXN 1,277,000 - 2,190,000; Jornada completa

Descripción de la vacante

A leading AI-driven company is seeking a Software Development Engineer to develop data pipelines and integrate AI capabilities. This role is remote, focusing on building solutions for industry-leading brands. The ideal candidate has over 5 years of experience in enterprise software development and is excited about using modern technologies like Apache Spark and Clojure. Join a diverse and inclusive team dedicated to leveraging customer data effectively.

Servicios

Competitive compensation package

Equity opportunities

Well-being support

Formación

• 5+ years experience including 3+ years developing enterprise software.
• 3+ years building applications on database technologies.
• 3+ years in a production environment with product release experience.
• Excited about using or learning functional languages like Clojure.
• Passionate about building elegant user experiences.

Responsabilidades

• Develop advanced data pipelines for customer data.
• Create flexible marketing solutions and integrate AI capabilities.
• Process large amounts of structured and unstructured data.
• Build delightful, full-stack experiences for users.
• Use latest data science advancements to enhance user experiences.

Conocimientos

Enterprise software development

Database technologies

Big data technologies

Functional programming

User experience design

Collaboration

Herramientas

Apache Spark

Kafka

Presto

Kubernetes

Terraform

Descripción del empleo

A leading AI-driven company is seeking a Software Development Engineer to develop data pipelines and integrate AI capabilities. This role is remote, focusing on building solutions for industry-leading brands. The ideal candidate has over 5 years of experience in enterprise software development and is excited about using modern technologies like Apache Spark and Clojure. Join a diverse and inclusive team dedicated to leveraging customer data effectively.