Software Development Engineer Ii, Hub Tech

Amazon Amazon · Big Tech · IN, HR, Gurugram · Software Development

Software Development Engineer II for the Amazon Lockers team, focusing on applying AI/ML to logistics and customer delivery problems. The role involves building AI-driven workflows, intelligent automation, predictive systems, and conversational experiences to enhance customer experience and operational efficiency. This is an engineering role focused on building and integrating AI technologies into existing and new product features.

What you'd actually do

  1. Collaborate with other team members and partner teams to investigate design approaches, participate in design reviews, prototype new technology, and develop both customer-facing and back-end services features.
  2. You will lead and coordinate design/implementation efforts, coordinating across multiple teams to develop optimal solutions.
  3. Work with modern web development technologies to improve customer workflows
  4. Write high-quality distributed system software
  5. Drive best practices and engineering excellence
  6. Design and develop AI-enabled solutions, leveraging Generative AI, intelligent automation, and data-driven systems to solve complex business and customer problems.
  7. Experiment with and integrate emerging AI technologies into customer experiences, operational tooling, and engineering productivity workflows.

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • AI-enabled solutions
  • Generative AI
  • intelligent automation
  • data-driven systems
  • emerging AI technologies

Other signals

  • applying Generative AI, Machine Learning, and intelligent decisioning systems
  • building AI-driven workflows, smart operational tooling, predictive systems, conversational experiences, and scalable platforms
  • Design and develop AI-enabled solutions, leveraging Generative AI, intelligent automation, and data-driven systems
  • Experiment with and integrate emerging AI technologies into customer experiences, operational tooling, and engineering productivity workflows