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4 часа назад

Software Engineer (Cybersecurity)

160 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (Cybersecurity): Designing and scaling foundational security systems for a multi-cloud environment with an accent on cryptographic and identity infrastructure. Focus on building security tooling, implementing end-to-end encryption, and automating security policy enforcement.

Location: Bellevue, WA, USA

Salary: $160,000 – $230,000

Company

A leading Data Cloud company powering the era of the agentic enterprise.

What you will do

  • Design, develop, and scale software systems to build secure products across a natively multi-cloud environment.
  • Build and maintain security tooling to define, monitor, and detect security policy violations platform-wide.
  • Implement automation and self-service processes to increase developer autonomy in secure coding practices.
  • Contribute to core security infrastructure, including secret management, key management, and service identity.
  • Partner with engineering teams to deliver security solutions that reduce friction without compromising safety.
  • Write reliable code and participate in design reviews, code reviews, and on-call rotations.

Requirements

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • Hands-on development experience using JavaScript, Java, Python, C, C++, Golang, or Rust.
  • Strong interpersonal and communication skills for cross-team collaboration.
  • Genuine interest in building software with direct security and reliability impact at scale.

Nice to have

  • Master's degree or PhD in Computer Science or a related technical field.
  • Familiarity with Secure Software Development Lifecycle (SSDLC) and security infrastructure.
  • Experience deploying and operating services on Kubernetes.
  • Experience building production services on AWS, Azure, or GCP.

Culture & Benefits

  • Experimental mindset that encourages rapidly testing emerging AI capabilities.
  • Low-ego, collaborative environment that values craft and curiosity.
  • Opportunity to define security layers for a hyper-growth multi-cloud platform.
  • High-impact role where technical decisions directly shape the foundation of the Data Cloud.

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