Назад
9 часов назад

Senior Software Engineer (Security)

200 000 - 287 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Software Engineer (Security): Building and evolving the security backbone of a large-scale data platform with an accent on identity, access management, and AI-native security capabilities. Focus on designing secure infrastructure, implementing authentication protocols, and ensuring platform reliability at scale.

Location: Must be based in or able to work from Bellevue, WA or Menlo Park, CA (Hybrid)

Salary: $200,000 – $287,500

Company

Snowflake is a rapidly growing data platform company powering the era of the agentic enterprise.

What you will do

  • Design and implement AI security capabilities, including agent workflows and admin guardrails.
  • Develop foundational identity and access management systems like OAuth, OIDC, and RBAC.
  • Build core security infrastructure for secret management, key management, and encryption.
  • Create security tooling to monitor and enforce policies across a multi-cloud environment.
  • Partner with engineering teams to deliver solutions that reduce friction while maintaining safety.
  • Participate in design reviews, code reviews, and on-call rotations for production services.

Requirements

  • 5+ years of industry experience building large-scale distributed systems in production.
  • Strong foundational skills in data structures, algorithms, and systems design.
  • Proficiency in Java, C++, Python, Golang, or Rust with solid SQL skills.
  • Experience shipping and maintaining production services with a focus on observability.
  • Must be authorized to work in the United States.
  • BS in Computer Science or equivalent practical experience.

Nice to have

  • Knowledge of identity protocols like SAML, SCIM, or MFA.
  • Experience with database internals or data platform systems.
  • Exposure to AI/ML systems applied to anomaly detection or behavioral analytics.
  • Experience with Kubernetes or production cloud platforms like AWS, Azure, or GCP.

Culture & Benefits

  • Opportunity to define the security layer of a world-class data platform.
  • Collaborative, low-ego engineering environment that values craft and curiosity.
  • Focus on developer autonomy and secure-by-default engineering practices.
  • Fast-paced environment with significant impact on platform growth and security.

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