Threat Detection & Response Engineer – Cloud

Amazon Web Services (AWS); Seattle (WA); On-site; USD 159,300 - 202,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) in Seattle, WA seeks a Security Engineer to advance threat detection, correlation and response at scale for AWS customers. You will research threats, develop criticality markers, and build rules that correlate signals from large-scale data sources to improve visibility into top risks.

You will collaborate with engineering and product teams to shape analysis and inference, prototype machine learning approaches, and scale enrichment pipelines to defend customer data

Qualifications

• 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language.
• 2+ years of scripting, programming, and security code review in a common programming language (non-internship).
• 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship).
• Knowledge of networking protocols such as HTTP, DNS and TCP/IP.
• Knowledge of industry-based security vulnerabilities and remediation techniques.

Responsibilities

• Most days you'll be heads-down building and tuning evaluations, digging into resource analysis and log data to figure out what data markers look like and how to assess impact.
• You'll read about the latest threats and turn research into actionable items; prototype ML or AI approaches and scale enrichment pipelines.

Skills

Threat modeling

Secure coding

Scripting

Cloud security

Linux/Unix familiarity

Education

Bachelor's degree in computer science or equivalent

Bachelor's degree in STEM or IT Security

Tools

AWS Developer Tools

Java

Go

Python

Job description

Amazon Web Services (AWS) in Seattle, WA seeks a Security Engineer to advance threat detection, correlation and response at scale for AWS customers. You will research threats, develop criticality markers, and build rules that correlate signals from large-scale data sources to improve visibility into top risks.

You will collaborate with engineering and product teams to shape analysis and inference, prototype machine learning approaches, and scale enrichment pipelines to defend customer data