Назад
2 дня назад

Software Engineer, Cloud/Backend (Cybersecurity)

120 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Software Engineer, Cloud/Backend (Go/Python): Building and evolving cloud-side software and user interfaces for configuration distribution to millions of endpoints with an accent on scalability, reliability, and high-quality system design. Focus on implementing performant solutions in Go, optimizing distributed systems, and utilizing AI to accelerate engineering processes.

Location: Hybrid (Sunnyvale, CA or Redmond, WA) - Must be based in the USA; expectation of being in the office twice a week.

Salary: $120,000 - $180,000 per year

Company

Global leader in cybersecurity providing an AI-native platform designed to stop breaches through large-scale distributed systems.

What you will do

  • Develop and evolve cloud-based systems to manage and distribute configuration information to millions of endpoints.
  • Design and implement elegant, performant solutions for complex technical problems primarily using Go.
  • Collaborate with cloud, front-end, and endpoint developers to brainstorm and build scalable systems.
  • Read, critique, and provide feedback on code across multiple languages (Go, Python, Typescript, C++).
  • Integrate AI technologies to streamline workflows, accelerate execution, and improve efficiency.
  • Conduct root cause analysis for production outages and implement quality improvements.

Requirements

  • Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status).
  • 3+ years of experience building and scaling production back-end systems.
  • Strong computer science foundation in data structures, algorithms, and distributed systems.
  • Proficiency in Go, Python, and experience with Kubernetes, Cassandra, Redis, Kafka, or ElasticSearch.
  • Experience with cloud services (AWS or Azure) and deploying into Linux containers.
  • Proven experience utilizing AI technologies to enhance decision-making and drive business outcomes.

Nice to have

  • Experience managing configuration automation for large endpoint fleets (e.g., JAMF Pro, Microsoft Configuration Manager).
  • Experience building and scaling low-latency internet services.
  • Deep expertise in AWS, Azure, or GCP environments.
  • Prior exposure to the cybersecurity and intelligence domain.

Culture & Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental/adoption leave.
  • 401k and high-trust environment with autonomy over time management.
  • Professional development opportunities regardless of level or role.

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