Video Analytics & Cloud Infrastructure Engineer

Amazon; Nashville (TN); In loco; USD 94.000 - 160.000; Tempo pieno

Descrizione del lavoro

Amazon is seeking a Systems Development Engineer to build and extend our video analytics and security infrastructure for global fulfillment teams. You will design and deploy software for analytics, AI integrations, and internal video tools using AWS and DevOps practices.

The role spans from strategic planning to hands-on development, delivering on-time results that delight customers and empower teams, in a fast-paced Agile environment.

Competenze

• Experience in automating, deploying, and supporting infrastructure.
• Experience with at least one modern programming language (Python, Ruby, Golang, Java, C++, C#, Rust).
• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or related discipline.

Mansioni

• Create and maintain cloud-based video analytics solutions for internal stakeholders.
• Create and maintain cloud-based automation applications for deployment and configuration of video solutions.
• Strive for cost-effective and highly available solutions with operational excellence.
• Develop scalable infrastructure automation tools for global video security infrastructure.
• Ensure products are secure, robust, scalable, and maintainable as services evolve.
• Build instrumentation for health visibility, alerts, and self-healing capabilities.
• Uphold high standards of code quality and engineering excellence.

Conoscenze

Automation

Programming languages

Bachelor's degree

Formazione

Bachelor's degree in CS/CE/SE/EE

Descrizione del lavoro

Amazon is seeking a Systems Development Engineer to build and extend our video analytics and security infrastructure for global fulfillment teams. You will design and deploy software for analytics, AI integrations, and internal video tools using AWS and DevOps practices.

The role spans from strategic planning to hands-on development, delivering on-time results that delight customers and empower teams, in a fast-paced Agile environment.