Software Development Engineer, Sidewalk Cloud, Sidewalk Cloud

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Software Development

Software Development Engineer role focused on building core cloud services for Amazon's Sidewalk network, with a significant emphasis on developing and integrating generative AI solutions to enhance operational efficiency, automate debugging, improve testing, and generate documentation. The role also involves building AI-powered support systems for device behavior analysis and triage, creating AI-assisted development tools, and designing AI-driven analytics for service health monitoring.

What you'd actually do

  1. Manage key components of the core Sidewalk network services and messaging platform that processes millions of messages daily.
  2. Develop and integrate generative AI solutions to enhance operational efficiency, including automated debugging tools, intelligent testing frameworks, and AI-powered documentation generation.
  3. Build and maintain AI-powered support systems that can analyze device behavior, perform automated triage, and provide intelligent recommendations for issue resolution.
  4. Create intelligent automation tools that streamline development workflows, including AI-assisted code generation, automated testing environments, and smart deployment processes.
  5. Design and implement AI-driven analytics solutions for monitoring service health, detecting anomalies, and providing proactive insights across multiple dashboards and metrics.

Skills

Required

  • software development experience
  • design or architecture of new and existing systems
  • programming with at least one software programming language

Nice to have

  • full software development life cycle
  • coding standards
  • code reviews
  • source control management
  • build processes
  • testing
  • operations
  • ML scientists
  • generative AI solutions
  • automated debugging tools
  • intelligent testing frameworks
  • AI-powered documentation generation
  • AI-powered support systems
  • device behavior analysis
  • automated triage
  • intelligent recommendations for issue resolution
  • intelligent automation tools
  • AI-assisted code generation
  • automated testing environments
  • smart deployment processes
  • AI-driven analytics solutions
  • monitoring service health
  • detecting anomalies
  • proactive insights

What the JD emphasized

  • develop and integrate generative AI solutions
  • build and maintain AI-powered support systems
  • create intelligent automation tools
  • design and implement AI-driven analytics solutions

Other signals

  • develop and integrate generative AI solutions
  • build and maintain AI-powered support systems
  • create intelligent automation tools
  • design and implement AI-driven analytics solutions