Security Software Engineer – Devices & AI

Amazon Lab126; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon.com Services LLC is seeking a Software Development Engineer for security software across Echo, Fire TV, and related device services. You will collaborate with Security Engineers to design and implement scalable security features and backend data processing at scale.

The role involves exploring AI/ML techniques for anomaly detection, building data pipelines, and working in a fast-paced Agile team to ship secure solutions across multiple Amazon devices.

Qualifications

• 5+ years of non-internship professional software development experience
• 2+ years in design/architecture (design patterns, reliability and scaling) of new and existing systems
• 2+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language
• 5+ years of server-side development experience

Responsibilities

• Build security detection mechanisms in our device software.
• Build backend services to process and enable client side abuse detection.
• Build tools and mechanisms to process device data at scale in order find anomalies and protect our device customers.
• Work in a fast paced team using Agile methodology.
• Embrace the use of AI to automate and ship faster.

Skills

Software development

System design

Distributed systems

C++ / Java / Perl

Bachelor's degree

Server-side development

Education

Bachelor's degree in CS or related

Job description

Amazon.com Services LLC is seeking a Software Development Engineer for security software across Echo, Fire TV, and related device services. You will collaborate with Security Engineers to design and implement scalable security features and backend data processing at scale.

The role involves exploring AI/ML techniques for anomaly detection, building data pipelines, and working in a fast-paced Agile team to ship secure solutions across multiple Amazon devices.