Sr. Software Development Engineer 4

Adobe Adobe · Enterprise · San Jose, CA

Senior Software Development Engineer 4 at Adobe (Marketo) focused on building and enhancing an engagement platform. The role involves designing, developing, and testing platform components, ensuring reliability, scalability, and maintainability. While a core software engineering role, it has a strong emphasis on integrating and developing AI features, including RAG, agentic systems, and evaluation pipelines, indicating a move towards AI-native development within an enterprise context.

What you'd actually do

  1. Design, develop, and test (including automated, continuous integration) key components of our platform
  2. Develop systems that are highly reliable, scalable, but remain easy to maintain
  3. Be passionate and help improve the availability, performance, scalability, and security of the product.
  4. Be independent in feature/component design as well as conduct effective peer code reviews
  5. Lead and participate in production deployment activities of features and diagnose and resolve issues brought up from the production environment

Skills

Required

  • Strong core Java or other object-oriented languages, design patterns and OOD/OOP skills
  • Knowledge of ORM frameworks like Hibernate
  • Experience in PostgreSQL or MySQL, including the ability to design SQL queries for performance and efficiency.
  • Familiarity with common API and design best practices.
  • Solid understanding of Docker or other container orchestration systems
  • You bring a positive work attitude, are a self-starter, and a standout colleague
  • Strong written and verbal communication and collaboration skills

Nice to have

  • Leveraged AI-native development environments (e.g., Cursor, Claude Code) to accelerate the full software development lifecycle, including rapid feature prototyping, complex bug resolution, and automated framework migrations.
  • Hands of experience with Jenkins, Kubernetes, Helm charts and related concepts.
  • Experience with one or more of the following MongoDB, Apache Cassandra, Kafka, Redis.
  • Experience building enterprise applications with Spring framework
  • BS/MS in Computer Science, Engineering, or related field
  • Understanding of Scrum / Agile Methodologies
  • Affinity for APM and monitoring tools (New Relic, Wavefront, Vivid Cortex)
  • Understanding Vector Databases and their role in advanced data retrieval for Gen AI.
  • Experience implementing Retrieval-Augmented Generation (RAG) architecture for grounding models.
  • Familiarity with the Agent-to-Agent (A2A) communication protocol and Multi-Agent Coordination Protocol (MCP), Langchain (or similar frameworks), LangGraph (or similar frameworks).
  • Design and maintain evaluation pipelines for AI features
  • Experience guiding other engineers on the teams.

What the JD emphasized

  • 10+ years working in SaaS platforms & technologies
  • Experience planning and implementing architectures for new services or components.
  • Solid understanding of Docker or other container orchestration systems
  • Understanding Vector Databases and their role in advanced data retrieval for Gen AI.
  • Experience implementing Retrieval-Augmented Generation (RAG) architecture for grounding models.
  • Familiarity with the Agent-to-Agent (A2A) communication protocol and Multi-Agent Coordination Protocol (MCP), Langchain (or similar frameworks), LangGraph (or similar frameworks).
  • Design and maintain evaluation pipelines for AI features

Other signals

  • Leveraged AI-native development environments
  • Understanding Vector Databases
  • Experience implementing Retrieval-Augmented Generation (RAG)
  • Familiarity with the Agent-to-Agent (A2A) communication protocol
  • Multi-Agent Coordination Protocol (MCP)
  • Langchain (or similar frameworks)
  • LangGraph (or similar frameworks)
  • Design and maintain evaluation pipelines for AI features