Sr. Software Engineer

Role: Sr. Software Engineer Location: Mexico or Costa Rica- Support in PST hours
Key ResponsibilitiesDevelop high‑performance big‑data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.Build and optimize cloud‑native data pipelines on Azure, including ADF‑based ingestion, transformation, and orchestration.build and maintain full‑stack applications using modern JavaScript frameworks (React, Angular, or Vue) and backend services (Node.js, Python, or Java).Implement robust APIs and microservices that integrate MarTech systems with customer‑facing platforms.Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems and full‑stack architectures.Drive AI‑assisted engineering practices including Vibe Coding and other generative‑AI development accelerators.Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions across both data and application layers.
Required Skills & ExperienceExperience with AI‑augmented development such as Vibe Coding or comparable frameworks.Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.Strong proficiency in big‑data technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.Cloud engineering experience with Azure services, including Azure Data Factory.Advanced system design capabilities including event‑driven architectures and distributed design patterns.Full‑stack engineering experience with:Frontend frameworks such as React, Angular, or Vue.Backend development using Node.js, Python, Java, or similar.RESTful and GraphQL API design.CI/CD pipelines supporting full‑stack deployments.Proven ability to lead engineering teams in a fast‑paced, cross‑functional environment.Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.
Preferred QualificationsExperience in large‑scale marketing ecosystems (ESP, CDP, personalization engines, real‑time decisioning).Background in high‑volume data processing supporting customer engagement or growth marketing.Familiarity with DevOps practices including CI/CD, observability, and automated testing across both data and application stacks.