Azure Network Engineer
Explicitly calls for Vibe Coding and AI-assisted development practices to accelerate engineering and prototyping.
About the Role
Lead Engineer for the Future of Email POD at Openkyber responsible for architecting, building, and scaling next-generation MarTech orchestration and big data solutions. The role focuses on cloud-native Azure data pipelines, event-driven systems, and AI-assisted development (including Vibe Coding) to deliver real-time marketing experiences and automated customer journeys.
Job Description
Role
The Lead Engineer in the Future of Email (FOE) POD is a senior technical leader responsible for architecting, building, and scaling marketing technology solutions that enable real-time customer engagement and automated journeys. This hands-on role combines MarTech orchestration, big data engineering, cloud-native design on Azure, and AI-assisted development practices to deliver high-impact customer engagement capabilities.
Key Responsibilities
- Lead end-to-end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
- Architect scalable, event-driven systems powering real-time marketing experiences and automated customer journeys.
- Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise tools.
- 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 Azure Data Factory (ADF) for ingestion, transformation, and orchestration.
- Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
- 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.
- Mentor engineers and raise engineering standards, code quality, and operational excellence within the POD.
Requirements
- Deep expertise in MarTech platforms with hands-on experience in Adobe Campaign or similar orchestration tools.
- Strong proficiency in big data technologies: Scala, Databricks, Spark SQL, Spark Streaming, and Python.
- Cloud engineering experience with Azure services, including Azure Data Factory (ADF).
- Advanced system design capabilities, including event-driven architectures and distributed system patterns.
- Experience with AI-augmented development such as Vibe Coding or comparable frameworks.
- Proven ability to lead engineering teams in fast-paced, cross-functional environments.
- Strong communication and stakeholder alignment skills 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.
- Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.
Location & Contact
- Location: San Francisco, CA — Hybrid
- For applications and inquiries: [email protected]
Tech Stack
Skills
Experience Level
Benefits
- •Hybrid work (San Francisco, CA)