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12 часов назад

Senior Software Engineer (AI)

171 000 - 231 500$
Формат работы
onsite
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

Текст:
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TL;DR
Senior Software Engineer (AI) (AWS/distributed systems): Building and operating EWOK, an enterprise regional failover and disaster recovery platform that automates recovery workflows across AWS regions with an accent on distributed orchestration, cross-region replication, and highly reliable backend services. Focus on designing scalable cloud architectures, reducing recovery time and recovery point objectives, and solving complex resiliency and fault-tolerance challenges.

Location: Mountain View or San Diego, California, United States

Salary: Expected base pay range of $171,000–$231,500 annually in Mountain View

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Design, scale, and operate EWOK, an enterprise regional failover and disaster recovery platform across AWS regions.
  • Develop highly available, scalable, and reliable platform services using software engineering, systems engineering, critical thinking, and AI.
  • Build and operate AWS services and collaborate with Product and Platform Development teams on resilient cloud architectures.
  • Lead technical design across distributed orchestration, cross-region replication, and automated testing frameworks to reduce RTO and RPO for hundreds of internal services.
  • Participate in on-call and support rotations, drive incident recovery and RCA, and resolve defects across QA, pre-production, production, and post-release stages.

Requirements

  • 5+ years of software engineering experience delivering production-grade distributed systems at scale.
  • Deep proficiency in AWS architecture, including IAM, Route 53, Step Functions, DynamoDB, VPC networking, and cross-region data replication.
  • Strong production experience with Python and Go, focused on concurrency, systems programming, and high-reliability backend services.
  • Practical understanding of disaster recovery patterns including Active-Active and Active-Passive, circuit breakers, distributed state management, and chaos engineering.
  • Proficiency with modern AI-assisted engineering tools such as Copilot and LLM agents, combined with first-principles debugging and code verification.
  • Ability to explain complex technical trade-offs, write architecture decision records, and influence cross-functional technical decisions.
  • BS/MS in Computer Science or Software Engineering, or equivalent practical experience.

Culture & Benefits

  • Competitive compensation with a pay-for-performance rewards approach.
  • Position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
  • Base pay is determined by job-related knowledge, skills, experience, and work location.

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