Adobe
Senior Software Engineering
The Adobe Experience Platform (AEP) Customer Engineering team is seeking Senior Software Engineering to help drive development of tooling and automation that accelerates AEP product adoption. Focus on crafting self-serve solutions for Adobe teams and customers to choose, implement, and measure AEP-based use cases. As the lead developer you will build intelligent, in-product solutions that streamline the entire customer lifecyclefrom discovery and configuration to execution. Your work will directly empower businesses to unlock the full potential of AEP, reducing implementation complexity and accelerating time to value. Key Responsibilities Authoring Tooling: Build AI assistants and templates that simplify the authoring of use case configurations (e.g., audience segmentation, journey orchestration, predictive analytics) Build "Personal Lab Environment" to help use case driven on-boarding/learning powered by GenAI Enable Adobe internal teams to curate, share, and optimize best-practice use case playbooks for rapid adoption. Use Case Implementation & Automation: Build automation frameworks that enable customers to quickly deploy and validate AEP use cases with minimal technical lift. Integrate with AEP services like Real-Time CDP (RT-CDP), Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), and Edge Network to provide real-time, no-code/low-code execution of customer-defined use cases. Develop API-first solutions that allow partners and enterprise teams to extend and customize use case deployment workflows. Collaboration & Collaborator Engagement: Partner with Product Management, Data Science, UX, and Adobe Customer Success to embed tooling directly into the AEP user experience. Define and track essential metrics that measure adoption, efficiency, and impact of use case-focused success tools. What you'll do: Build and improve web services Work cross-function with product managers, engineers and designers to build exciting new features. Leads development reviews, adding perspective based on knowledge and experience Own technical designs that have impact on the fundamental architecture of the product Build out backend for front end services tailor-made to meet customer needs. Use data to help inform and then drive performance and reliability improvements based on that data. What you'll need to succeed: B.S. or Masters in Computer Science or equivalent experience and understanding. Experience developing self-service SaaS tooling for customer use case enablement, automation. Proficiency in Python, Java, JavaScript, SQL, and cloud platforms (AWS, Azure, GCP). Hands-on experience on open source technologies Spark, Hadoop Stack, Kafka Proven record of delivering highly optimized code in Scala/Java Proven track record of cross-engineering organizational influence; ability to collaborate across multiple vertical engineering teams to align technical strategies and ensure seamless integration of customer success solutions into AEP. Nice to haves: A history of building microservices in production environments on AWS and/or Azure. Proficiency in NoSQL and SQL. Experience testing a wide range of applications and services. Operational skills with deployment and monitoring tools such as Sentry, GoCD, Grafana, New Relic and Splunk.
The Adobe Experience Platform (AEP) Customer Engineering team is seeking Senior Software Engineering to help drive development of tooling and automation that accelerates AEP product adoption. Focus on crafting self-serve solutions for Adobe teams and customers to choose, implement, and measure AEP-based use cases. As the lead developer you will build intelligent, in-product solutions that streamline the entire customer lifecyclefrom discovery and configuration to execution. Your work will directly empower businesses to unlock the full potential of AEP, reducing implementation complexity and accelerating time to value. Key Responsibilities Authoring Tooling: Build AI assistants and templates that simplify the authoring of use case configurations (e.g., audience segmentation, journey orchestration, predictive analytics) Build "Personal Lab Environment" to help use case driven on-boarding/learning powered by GenAI Enable Adobe internal teams to curate, share, and optimize best-practice use case playbooks for rapid adoption. Use Case Implementation & Automation: Build automation frameworks that enable customers to quickly deploy and validate AEP use cases with minimal technical lift. Integrate with AEP services like Real-Time CDP (RT-CDP), Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), and Edge Network to provide real-time, no-code/low-code execution of customer-defined use cases. Develop API-first solutions that allow partners and enterprise teams to extend and customize use case deployment workflows. Collaboration & Collaborator Engagement: Partner with Product Management, Data Science, UX, and Adobe Customer Success to embed tooling directly into the AEP user experience. Define and track essential metrics that measure adoption, efficiency, and impact of use case-focused success tools. What you'll do: Build and improve web services Work cross-function with product managers, engineers and designers to build exciting new features. Leads development reviews, adding perspective based on knowledge and experience Own technical designs that have impact on the fundamental architecture of the product Build out backend for front end services tailor-made to meet customer needs. Use data to help inform and then drive performance and reliability improvements based on that data. What you'll need to succeed: B.S. or Masters in Computer Science or equivalent experience and understanding. Experience developing self-service SaaS tooling for customer use case enablement, automation. Proficiency in Python, Java, JavaScript, SQL, and cloud platforms (AWS, Azure, GCP). Hands-on experience on open source technologies Spark, Hadoop Stack, Kafka Proven record of delivering highly optimized code in Scala/Java Proven track record of cross-engineering organizational influence; ability to collaborate across multiple vertical engineering teams to align technical strategies and ensure seamless integration of customer success solutions into AEP. Nice to haves: A history of building microservices in production environments on AWS and/or Azure. Proficiency in NoSQL and SQL. Experience testing a wide range of applications and services. Operational skills with deployment and monitoring tools such as Sentry, GoCD, Grafana, New Relic and Splunk.