Device Security Software Engineer — Abuse Prevention & AI

Amazon Lab126; Sunnyvale (CA); On-site; USD 165,000 - 224,000; Full time

Job summary

Amazon Lab126 is seeking a Software Development Engineer to build security software for device services such as Echo and Fire TV. You will collaborate with Security Engineers and Applied Scientists to design and implement security features that safeguard our device platform and its backend services in AWS against evolving threats.

You will explore LLM and machine learning techniques to detect malicious patterns at scale and build backend services to support data collection and real-time

Qualifications

• 5+ years of non-internship professional software development experience.
• 2+ years design or architecture of new and existing systems.
• 2+ years designing and developing large-scale, multi-tiered, 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

Design/Architecture

Distributed systems

C++, Java, C#

Server-side development

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon Lab126 is seeking a Software Development Engineer to build security software for device services such as Echo and Fire TV. You will collaborate with Security Engineers and Applied Scientists to design and implement security features that safeguard our device platform and its backend services in AWS against evolving threats.

You will explore LLM and machine learning techniques to detect malicious patterns at scale and build backend services to support data collection and real-time