Sr. Software Development Engineer, Abuse Prevention, Devices and Services Security

About the role

In this role, you will design and implement scalable backend services on AWS that protect millions of Amazon devices (e.g., Echo, Fire TV) from emerging security threats. You will build robust, high-throughput services for data collection, real-time threat monitoring, and automated abuse detection — processing large volumes of device telemetry to identify and neutralize malicious activity.

Responsibilities

• Develop detection pipelines and security analyzers that identify threats such as malware, privilege escalation, and anomalous device behavior using a defense-in-depth approach.
• Harness machine learning techniques — including supervised/unsupervised learning, model optimization, and LLM-based approaches — to detect and classify malicious patterns at scale.
• Build complex data pipelines and automated workflows to support continuous analysis and rapid response.
• Familiarity with Android and embedded Linux platforms is a significant plus, as your services will directly interface with and protect these devices.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• 5+ years of professional software development experience, with a strong focus on building and operating scalable, high-availability backend services

Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience designing, building, operating, and managing large-scale distributed systems or web services
• Experience designing services for high throughput and low latency at scale, including data pipelines and real-time analytics (streaming, batch processing)
• Familiarity with Android, embedded Linux, and experience in C/C++
• Experience with security engineering, abuse detection, or threat monitoring systems, including ML/AI techniques applied to detection or classification problems
• Experience building RESTful APIs and microservices with operational excellence practices (monitoring, alarming, on-call ownership)