Company Name

Amazon Development Centre (India) Pvt Ltd ( Bangalore )

Job Description

• Job description
  • Join our Edge AI team within the Hardware Compute Group at Amazon! As a Senior Systems Engineer, you will play a key role in driving the development and deployment of AI models and infrastructure for our Alexa, Echo, and other edge computing products.
  • You will navigate complex distributed codebases, build and maintain robust CI/CD pipelines, and develop innovative infrastructure automation using Python, Bash, and AWS services. Collaborate cross-functionally to define system architectures, investigate technical feasibility tradeoffs, and drive key components from design to completion.
  • This is an opportunity to work on impactful projects that will enable advanced on-device AI capabilities for our customers. If youre passionate about building scalable, reliable, and performant software solutions, wed love to hear from you!
  • Navigate and contribute to distributed package codebases across multiple repositories
  • Build and maintain CI/CD pipelines leveraging AWS services
  • Develop infrastructure automation using Python and Bash
  • Create and maintain dashboards for test reporting and metrics visualization
  • Integrate testing frameworks with build and release systems
  • Take full ownership of assigned components and drive them to completion
  • Independently investigate and resolve complex technical issues with minimal guidance
  • Analyze test results and provide actionable feedback to stakeholders
  • Develop and maintain test automation infrastructure using pytest
  • Design, implement, and execute automated test suites including hardware-in-the-loop tests
  • Work with cross-functional teams to identify testing requirements and gaps Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with CI/CD pipelines build processes
  • Experience defining system architectures and exploring technical feasibility tradeoffs
  • Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS Experience building tools for building, testing, releasing or monitoring

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