Senior Software Engineer

Sr. Software Engineer position

Location: Mexico or Costa Rica- Support in PST hours

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.