Назад
16 дней назад

Senior Engineer Engineer – Cloud, Core API (Hybrid)

140 000 - 215 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Engineer Engineer – Cloud, Core API (Hybrid) (Go/Python/AWS): Building and scaling API gateway and cloud backend systems for cybersecurity products processing millions of events per second, with an accent on distributed systems, API design, and high-scale data processing. Focus on designing resilient microservices, solving concurrency and scalability challenges, and developing AI-enhanced threat intelligence workflows.

Location: Sunnyvale, California, United States; hybrid work with 2–3 days per week onsite

Base salary: $140,000–$215,000 per year, plus eligibility for bonuses, equity grants, and benefits.

Company

Cybersecurity company building an AI-native platform that protects organizations by processing large-scale security and threat data.

What you will do

  • Lead backend engineering efforts from prototypes through large-scale applications.
  • Build and operate cloud systems for detecting targeted attacks and automating cyber threat intelligence production.
  • Design API gateway capabilities including traffic management, authentication, authorization, monitoring, and API versioning.
  • Develop platforms that scale to millions of events per second and terabytes of data per day.
  • Collaborate across teams, mentor engineers, and improve architecture, performance, stability, and user experience.
  • Contribute to open-source projects and continuously improve engineering practices.

Requirements

  • Degree in Computer Science or equivalent experience with data structures, algorithms, and distributed systems.
  • Deep understanding of distributed systems, scalability, multithreading, concurrency, and parallel processing.
  • Experience with horizontal scaling, sharding, and partitioning of backend systems.
  • Strong engineering practices including testing, code review, continuous integration, and resilient architecture.
  • Ability to work collaboratively in a fast-paced, test-driven, iterative environment.
  • Proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

  • Experience with Go, Scala, AWS, Cassandra, Kafka, or Elasticsearch.
  • Authored or led successful open-source libraries or projects.
  • Contributions to open-source communities through GitHub, Stack Overflow, or technical blogging.
  • Experience in cybersecurity or intelligence.

Culture & Benefits

  • Flexible, autonomous work culture with emphasis on responsible AI adoption and innovation.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental and adoption leave.
  • Professional development opportunities for employees at all levels.
  • Employee networks, neighborhood groups, volunteer opportunities, and office amenities.

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