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1 день назад

Lead Backend 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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TL;DR
Lead Backend Engineer (AI) (Java/Golang/C++): Building scalable backend services and cloud-native infrastructure for a SaaS platform focused on data spend optimization and cloud data operations with an accent on distributed systems, reliability, and cost efficiency. Focus on designing secure architectures, optimizing performance and observability, and leading the growth of a backend engineering team.

Location: Bangalore, India; hybrid

Company

hirify.global is an early-stage AI startup building Raden, a SaaS platform for data spend optimization, data reliability, cloud data operations, and GenAI-powered automation.

What you will do

  • Lead the architecture, design, and implementation of scalable backend services for the SaaS platform.
  • Own technical decisions across distributed systems, cloud-native workflows, backend infrastructure, and system design.
  • Drive performance, reliability, observability, testing, and deployment best practices.
  • Mentor backend engineers through technical reviews, goal setting, and career development.
  • Collaborate with product, frontend, and DevOps teams to deliver platform features.
  • Participate in hiring, onboarding, technology evaluation, and technical roadmap planning.

Requirements

  • 8+ years of backend development experience with Java, Golang, C++, or similar languages.
  • Proven experience designing and scaling distributed systems and cloud-native architectures.
  • Technical leadership, mentorship, and team-building experience.
  • Strong knowledge of data structures, networking, system design, and cloud scalability.
  • Strong debugging, problem-solving, performance optimization, communication, and collaboration skills.
  • Experience in fast-paced, product-focused startup environments and a high-ownership approach.

Nice to have

  • Experience with Snowflake, BigQuery, Databricks, or Redshift.
  • Production experience with AWS, GCP, or Azure.
  • Experience with Docker, Kubernetes, SQL, NoSQL, SaaS platforms, or developer infrastructure.
  • Open-source contributions or active participation in developer communities.

Culture & Benefits

  • Work alongside experienced founders and engineers.
  • Build backend infrastructure for an AI platform at the intersection of cloud, data, and GenAI.
  • Influence technical and product decisions at an early stage.
  • Develop with autonomy, ownership, and mentorship.

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