Sr. Software Development Engineer 55

Adobe Adobe · Enterprise · San Jose, CA

Senior Software Engineer to build the platform powering Adobe Experience Platform's Generative AI capabilities, focusing on audience creation, journey optimization, and personalization at scale. The role involves architecting, designing, and building highly available, scalable services with comprehensive monitoring and alerting, working in multi-functional teams within the ML space.

What you'd actually do

  1. Architect solutions to implement functionality across multiple services and teams.
  2. Design and build solutions for comprehensive monitoring and alerting of anomalies.
  3. Design and build highly available services that scale horizontally
  4. Participating in all aspects of software development activities, including design, coding, code review, unit/integration/end-to-end testing, refactoring, bug fixing, and documentation
  5. Work in multi-functional teams to ensure timely delivery of high-quality product features

Skills

Required

  • Bachelor's degree or higher in Computer Science, or equivalent experience
  • 10+ years of experience in web technologies
  • Java
  • Python
  • Large scale distributed systems
  • Public clouds (Azure / AWS)
  • SDLC ownership
  • Problem-solving and analytical abilities
  • Self-starter
  • Generative AI
  • Machine Learning infrastructure and applications

Nice to have

  • Fast prototyping
  • Experiment with upcoming technologies
  • Agile development methodologies
  • Mastery of breaking down, discussing, and communicating abstract technical concepts

What the JD emphasized

  • Proven programming skills with extensive experience in languages such as Java and Python.
  • A proven expertise building large scale distributed systems
  • Experience in building, deploying, and managing infrastructures in public clouds (Azure / AWS)
  • Ability to demonstrate a high level of ownership for the entire SDLC, including designing, building, testing, deploying, and supporting production microservices in a fast-paced environment.
  • Real world experience working with Generative AI
  • Worked on Machine Learning infrastructure and applications

Other signals

  • Generative AI capabilities
  • ML space
  • Machine Learning infrastructure and applications