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4 дня назад

Senior Software Engineer (AI)

200 000 - 250 000$
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 (AI): Building reliable, secure, and scalable backend systems, enterprise integrations, and self-hosted deployments for an AI-powered code review platform with an accent on distributed systems, enterprise security, and operational control. Focus on designing APIs and event-driven services, strengthening customer-managed deployments, and solving complex production challenges across performance, compliance, and reliability.

Location: San Francisco, United States; hybrid

Salary: $200,000–$250,000 per year, plus equity

Company

hirify.global builds AI-powered code review and developer tools that help engineering teams ship software faster and more safely.

What you will do

  • Build enterprise capabilities that help large organizations adopt and scale the platform.
  • Improve self-hosted deployment, configuration, upgrades, and observability.
  • Design backend services, APIs, and distributed systems for demanding enterprise workloads.
  • Implement security, compliance, integrations, and developer workflow capabilities.
  • Translate customer needs into technical requirements, support deployments, and troubleshoot production issues.
  • Own projects from design through implementation, testing, release, and ongoing operation while mentoring engineers and improving engineering practices.

Requirements

  • 4+ years of experience building and operating backend systems or distributed infrastructure in production.
  • Strong proficiency with TypeScript/Node.js, Go, Java, or a comparable modern backend stack.
  • Experience designing APIs with REST, GraphQL, or similar approaches, plus microservices, asynchronous processing, and event-driven architectures.
  • Working knowledge of PostgreSQL or MySQL, including schema design and query performance.
  • Experience with AWS or GCP, Docker, Kubernetes, CI/CD pipelines, and production observability.
  • Strong engineering fundamentals, sound technical judgment, clear communication, and a bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

  • Experience with self-hosted or customer-managed enterprise software.
  • Familiarity with enterprise identity, access controls, audit logging, or compliance requirements.
  • Experience integrating AI or LLM capabilities into production workflows or designing agent-based systems.
  • Experience with code search, code graphs, tree-sitter, static analysis, or open-source developer communities.

Culture & Benefits

  • Ownership of technical direction, projects, and production outcomes.
  • Collaboration with engineers, AI researchers, infrastructure specialists, product partners, and customers.
  • Fast-paced development focused on small coherent solutions, risk-based validation, observability, and continuous improvement.
  • Equity included in the compensation package.

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