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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Full Stack Engineer - **Company:** Nmk Global Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Big Data, Cloud Engineering, Software Quality, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Apache Hive, Python (Programming Language), Cloud Services, Scala (Programming Language), Workflow Management Systems, Data Processing, Azure Data Factory, Adobe Campaign, Event Driven Architecture, Spark Streaming, Machine Learning Operations, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/2755e840-e575-4524-aa41-6bcc5ee3d170 ## About the Role * 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, 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 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 marketin * Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation. * Familiarity with DevOps practices including CI/CD, observability, and automated testing. ## Description Lead Full Stack Engineer in the 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., * Lead 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)