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3 часа назад

Lead Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
India
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

Lead Software Engineer (AI): Developing and scaling hirify.global's entire technology stack, including applications, platform, and infrastructure, with an accent on designing and building highly scalable, low-latency distributed systems. Focus on driving best-in-class engineering practices, operational excellence for critical services, and applying the latest AI innovations to the tech stack.

Location: Hybrid (Noida, India)

Company

hirify.global is a Series C startup revolutionizing customer engagement by transforming contact centers into strategic assets using an AI-native platform.

What you will do

  • Develop and execute the technical roadmap to scale hirify.global’s technology stack.
  • Design and build highly scalable and low latency distributed systems for large scale real-time data.
  • Drive best-in-class engineering practices through the software development lifecycle.
  • Ensure operational excellence for critical services requiring high uptime.
  • Collaborate with stakeholders to create and lead the execution of technical plans.
  • Stay current with technologies and thoughtfully apply them to hirify.global’s tech stacks.

Requirements

  • Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 Engineering institutes with relevant work experience with a top technology company.
  • 5+ years of Backend and Infrastructure Experience with strong track record in development, architecture and design.
  • Hands-on experience with large-scale databases, high-scale messaging systems, and real-time job queues.
  • Experience navigating and understanding large-scale systems and complex codebases, and architectural patterns.
  • Experience mentoring and providing technical leadership to other engineers.
  • Proficiency with Python, Flask, FastAPI, Django, Google Pub/Sub, Kafka, PostgreSQL, Celery, Redis, Kubernetes, Docker, and GCP.

Nice to have

  • Experience with AI Infrastructure and Operations.

Culture & Benefits

  • Market-leading compensation based on skills and aptitude.

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