Sr. Software Engineer

Role: Sr. Software Engineer position

Location: Mexico or Costa Rica(Remote)

Key Responsibilities

• Develop 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 & Experience

• Experience 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 Qualifications

• Experience 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.