AWS Security SDE: Build Scalable Threat Defense

Amazon Web Services (AWS)

Maryland

Vor Ort

USD 144.000 - 194.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Amazon.com Services LLC in Maryland is seeking a Software Development Engineer for AWS Security to build services that detect and mitigate cyber threats at scale. You’ll collaborate with data scientists and security engineers to deliver low-latency, fault-tolerant solutions across AWS infrastructure.

This role involves on-call responsibilities, mentoring engineers, and designing scalable architectures while maintaining a strong emphasis on testing, observability, and automation.

Qualifikationen

  • 3+ years of non-internship professional software development experience.
  • 3+ years of non-internship design or architecture (design patterns, reliability and scaling).
  • Experience programming with at least one software programming language.

Aufgaben

  • Be a leader and role-model for Amazon LPs.
  • Design scalable architectures for low-latency data processing.
  • Collaborate with data scientists and security engineers to build automated security detections and mitigation workflows.
  • Improve the observability, performance, and efficiency of our current systems.
  • Raise the bar for testing, repeatability, and automation.
  • Mentor less experienced engineers on mental models, decision making, technical skills, and leadership principles.

Kenntnisse

Software development
System design
Programming languages

Ausbildung

Bachelor's degree in computer science or equivalent

Jobbeschreibung

Amazon.com Services LLC in Maryland is seeking a Software Development Engineer for AWS Security to build services that detect and mitigate cyber threats at scale. You’ll collaborate with data scientists and security engineers to deliver low-latency, fault-tolerant solutions across AWS infrastructure.

This role involves on-call responsibilities, mentoring engineers, and designing scalable architectures while maintaining a strong emphasis on testing, observability, and automation.

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