Senior Software Engineer_Offshore

Description: 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.
Enable Skills-Based Hiring
No