Ovii Job Board

Director of Engineering

hevo

Bangalore, India • Onsite - Bangalore, India • Full-Time • 15+ years

Posted 2026-06-30 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Director of Engineering leading Hevo's real‑time data platform. Owns technical vision, architecture, delivery, and team growth while driving AI‑native capabilities. Works onsite in Bangalore with a focus on large‑scale, fault‑tolerant data pipelines.

Role Snapshot

  • Technical vision & roadmap
  • Architecture & scalability
  • End‑to‑end product delivery
  • Engineering team building
  • AI/ML platform integration

Must-Have Requirements

  • leadership
  • large-scale data platform
  • Bachelor’s degree in Computer Science or related field

Nice-to-Have Signals

  • Master’s degree

Work Setup

  • Location: Bangalore, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Travel requirement
  • Shift requirement
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Define long‑term technical strategy aligned with product and business goals
  • Lead architectural decisions for a high‑throughput, real‑time data platform
  • Drive modernization of ingestion, transformation, orchestration, and metadata layers
  • Oversee end‑to‑end delivery, ensuring timely releases with high quality and customer impact
  • Build and scale engineering teams, fostering ownership, mentorship, and succession planning
  • Champion AI‑driven productivity tools, observability, and automated incident handling
  • Collaborate closely with product management to balance speed and maintainability

Good Fit If You Have

  • Enjoy tackling complex, large‑scale technical challenges
  • Passionate about building high‑performance, reliable products used by thousands of enterprises
  • Thrives in fast‑moving environments that prioritize both speed and quality

Skills

  • Distributed systems
  • Large‑scale data pipelines
  • AI/ML integration
  • Technical leadership
  • Product‑engineering partnership