HiringCafe
Posted 3d ago

Head of Engineering

@ Foodhub
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Chennai, Tamil Nadu, India
OnsiteFull Time
Responsibilities:leading teams, scaling engineering, driving transformation
Requirements Summary:10+ years software engineering with 4+ years senior engineering leadership; experience scaling 50+ engineers; backend, distributed systems, mobile (iOS/Android); cloud-native, microservices, real-time pipelines; AI/ML and LLM product experience; EPOS/POS familiarity.
Technical Tools Mentioned:iOS, Android, EPOS, POS, AI/ML, LLMs, Claude, GPT, Gemini, RAG, Model Context Protocol (MCP), Claude Code, Cursor, GitHub Copilot, microservices, cloud-native
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Job Description

Essential Experience

  • 10+ years of software engineering experience, with at least 4-5 years in senior engineering leadership (Head of Engineering, VP Engineering, or Engineering Director).
  • Proven track record of leading and scaling distributed engineering teams of 50+ engineers across multiple locations.
  • Deep hands-on technical background in backend engineering, distributed systems, and mobile platforms (iOS/Android).
  • Experience in a consumer-facing marketplace, e-commerce, food tech, or logistics platform at scale.
  • Strong understanding of microservices architecture, cloud-native infrastructure, real-time data pipelines, and API-first design.
  • Demonstrated success in hiring, developing, and retaining senior engineering talent.
  • Strong commercial instinct — ability to balance engineering quality with speed to market.


Requirements

  • Experience working in a challenger/scale-up environment
  • Familiarity with EPOS/POS systems, payment gateway integrations, or restaurant technology.
  • Experience leading offshore or near-shore engineering teams, particularly in India.
  • Hands-on experience with AI/ML product features in consumer apps — recommendation engines, search ranking, dynamic pricing, and personalisation at scale.
  • Practical experience integrating and shipping AI-powered features using LLMs (such as Claude, GPT, or Gemini), including prompt engineering, RAG pipelines, and responsible AI deployment in production environments.
  • Familiarity with AI developer tooling and emerging standards such as Model Context Protocol (MCP), AI coding assistants (Claude Code, Cursor, GitHub Copilot), and agentic workflows — with the ability to champion their adoption across engineering teams.
  • Track record of driving engineering culture transformation and introducing modern DevOps/engineering practices, including establishing AI-augmented development workflows as a core part of the engineering culture.