Security Engineer - Satellite & Cloud Threat Prevention

Amazon Inc.

Redmond

On-site

AUD 227,000 - 288,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments and RSUs

Job summary

Amazon Security, Redmond-based, is seeking a security-focused engineer to define and implement Leo's detection pipeline in a fast-paced, startup-like environment supported by AWS infrastructure.

The role emphasizes collaboration with business leaders to set security priorities, mentor builders, and drive detective controls while safeguarding customer data across the product lifecycle.

Qualifications

  • 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience.
  • 3+ years of scripting, programming, and security code review in a non-internship role.
  • 3+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship).
  • Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security.
  • Knowledge of industry-based security vulnerabilities and remediation techniques.

Responsibilities

  • You will help define develop and implement Leo's detection pipeline.
  • You will advocate for the creation & deployment of new testing tools, and detection mechanisms.
  • You will leverage support from automation teams that find discoverable vulnerabilities.
  • You'll identify design & implementation defects and build compensating detective controls.

Skills

Python
Ruby
Go
Swift
Java
C++

Education

Bachelor's degree in a STEM field

Tools

AWS

Job description

Amazon Security, Redmond-based, is seeking a security-focused engineer to define and implement Leo's detection pipeline in a fast-paced, startup-like environment supported by AWS infrastructure.

The role emphasizes collaboration with business leaders to set security priorities, mentor builders, and drive detective controls while safeguarding customer data across the product lifecycle.

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