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3 дня назад

Lead Software Engineer (Ruby on Rails/React)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Software Engineer (Ruby on Rails/React): Building scalable enterprise workplace-platform products and AI-enabled engineering workflows with an accent on distributed systems, performance, security, and reliable delivery. Focus on architecting cloud applications, designing AI workflow orchestration, optimizing application scalability, and mentoring engineers through complex technical execution.

Location: Costa Rica

Company

hirify.global Software provides an AI-powered operating system for the built environment that helps organizations plan, connect, and perform in the workplace.

What you will do

  • Lead the architecture, design, delivery, and long-term ownership of high-performance applications using Ruby on Rails, React, and cloud technologies.
  • Build scalable software and distributed systems for enterprise customers.
  • Design AI-enabled engineering tools, workflows, automation, and evaluation practices that improve productivity and software quality.
  • Drive automated testing, code quality, observability, performance optimization, security, and sustainable architecture.
  • Lead technical discovery, scope delivery, manage technical debt, and turn ambiguous product requirements into measurable engineering work.
  • Mentor engineers and collaborate with Product, Design, Engineering Leadership, and R&D Architecture through reviews, planning, retrospectives, and architecture sessions.

Requirements

  • 7+ years of experience building modern full-stack applications.
  • Strong experience with Ruby on Rails and React, or equivalent modern backend and frontend technologies.
  • Experience designing scalable distributed systems and APIs using GraphQL, REST, or similar technologies.
  • Experience with Google Cloud Platform and data technologies such as Kafka, BigQuery, Flink, Redis, or Elasticsearch.
  • Experience optimizing performance through benchmarking, observability, and scalability engineering.
  • Demonstrated engineering leadership, mentoring ability, systems thinking, communication, and AI fluency including prompt engineering, workflow orchestration, output evaluation, and responsible AI use.

Culture & Benefits

  • High-performance culture focused on accountability, measurable results, and ownership.
  • Autonomy to innovate with support for professional growth and continuous learning.
  • Technology-forward environment integrating AI and advanced solutions across the platform.
  • Collaborative, agile, results-driven workplace that values innovation and purposeful teamwork.
  • Competitive global benefits supporting health, well-being, and financial security.

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