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2 дня назад

Engineering Lead (Python/Django/AWS)

190 000 - 240 000$
Формат работы
remote
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Lead (Python/Django/AWS): Owning the technical vision and architecture for core domains like claims and underwriting systems with an accent on system scalability, reliability, and technical standards. Focus on driving architectural decisions, mentoring engineers, and hands-on development of complex features while integrating AI-driven development practices.

Salary: $190,000–$240,000

Company

hirify.global is a technology-driven company operating in the insurance sector, focused on building robust platforms for underwriting and claims management.

What you will do

  • Define and maintain the technical vision and architecture for your assigned domain.
  • Partner with Technical Product Managers to translate business initiatives into actionable technical requirements.
  • Conduct technical reviews to ensure project approaches align with system standards and scalability goals.
  • Write code and lead high-impact projects, balancing hands-on development with architectural oversight.
  • Establish and enforce shared technical standards across the engineering organization.
  • Mentor engineers and Project Leads to elevate system design thinking and technical decision-making.

Requirements

  • Deep experience in designing, building, and operating complex software systems.
  • Proficiency with Python, Django, AWS, React, and PostgreSQL.
  • Experience developing with AI tools like Claude Code or Cursor.
  • Proven ability to influence technical direction across teams without formal management authority.
  • Strong communication skills to bridge the gap between technical complexity and business needs.
  • Experience working effectively within distributed, remote teams.

Culture & Benefits

  • Commitment to an inclusive and welcoming workplace that celebrates diversity.
  • Emphasis on lightweight, peer-to-peer collaboration over heavy process.
  • Focus on high-quality engineering standards and deliberate technical debt management.
  • Opportunity to stay at the frontier of AI development and influence organizational tooling.
  • Equal Opportunity Employer with a focus on respect and professional growth.

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