{"schemaVersion":"jobsearcher.job.v1","id":"d3a25aa1ab3cf6daf337ab86","url":"https://jobsearcher.com/jobs/d3a25aa1ab3cf6daf337ab86","canonicalUrl":"https://jobsearcher.com/jobs/d3a25aa1ab3cf6daf337ab86","title":"Lead Software Engineer","description":"Description:Lead Full Stack Engineer - Future of Email POD (MarTech Engineering & Orchestration)Role OverviewLead Full Stack Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next-generation marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big-data engineering, cloud-native design, and emerging AI-driven development patterns. The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high-impact customer engagement capabilities.Key ResponsibilitiesLead end-to-end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.Architect scalable, event-driven systems that power real-time marketing experiences and automated customer journeys.Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise-grade 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 ADF-based 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 elevate engineering standards, code quality, and operational excellence within the POD.Required Skills & ExperienceDeep 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, Python.Cloud engineering experience with Azure services, including Azure Data Factory.Advanced system design capabilities including event-driven architectures and distributed design patterns.Experience with AI-augmented development such as Vibe Coding or comparable frameworks.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.Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.","company":"BayOne Solutions","rawCompany":"bayone solutions","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-22T13:19:59.468Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-2021.00","title":"Marketing Managers","slug":"marketing-managers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Software Engineer","description":"Description:Lead Full Stack Engineer - Future of Email POD (MarTech Engineering & Orchestration)Role OverviewLead Full Stack Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next-generation marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big-data engineering, cloud-native design, and emerging AI-driven development patterns. The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high-impact customer engagement capabilities.Key ResponsibilitiesLead end-to-end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.Architect scalable, event-driven systems that power real-time marketing experiences and automated customer journeys.Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise-grade 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 ADF-based 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 elevate engineering standards, code quality, and operational excellence within the POD.Required Skills & ExperienceDeep 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, Python.Cloud engineering experience with Azure services, including Azure Data Factory.Advanced system design capabilities including event-driven architectures and distributed design patterns.Experience with AI-augmented development such as Vibe Coding or comparable frameworks.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.Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.","datePosted":"2026-09-22T13:19:59.468Z","dateModified":"2026-09-22T13:19:59.468Z","hiringOrganization":{"@type":"Organization","name":"BayOne Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d3a25aa1ab3cf6daf337ab86"},"url":"https://jobsearcher.com/jobs/d3a25aa1ab3cf6daf337ab86"}}