Director of Engineering

Location

Kupondole, Lalitpur, Nepal

Employment Type

Full Time

Experience Level

10+ Years

Work Mode

On-Site

Available Position

1

Apply Before

December 15, 2025

Overview

We are seeking a highly experienced Director of Engineering with a strong background in enterprise SaaS, cloud platforms, or large-scale application development. The ideal candidate has 10+ years of proven technical leadership, hands-on engineering expertise, and a deep understanding of building scalable, secure, and high-quality software products. This role requires someone who can confidently wear both the startup hat (speed, adaptability, ownership) and the enterprise hat (process, governance, quality).

Responsibilities

ChatGPT said:

  • Provide strategic technical direction for cloud-based and enterprise SaaS product development.

  • Architect and guide the implementation of scalable backend systems using Java, Python, .NET, or similar technologies.

  • Build a strong engineering culture grounded in ownership, accountability, collaboration, and innovation.

  • Drive talent development, hiring, and succession planning for the engineering function.

  • Actively explore and integrate AI, automation, and modern engineering practices into the product roadmap.

  • Evaluate emerging technologies and guide the team in adopting the right tools, frameworks, and architectural patterns.

  • Work closely with executive leadership on technical strategy, product planning, and long-term architecture decisions.

Required Skills & Qualifications

  • 10+ years of professional experience in enterprise SaaS, cloud solutions, or full-scale application development.

  • Strong expertise in at least one major backend stack: Java, Python, .NET, or equivalent.

  • Experience with modern frontend frameworks such as React, Angular, or similar.

  • Significant experience leading engineering teams and managing technical projects in an Agile environment.

  • Demonstrated involvement or active exploration in AI, automation, or machine-learning-based systems.

  • Excellent communication, problem-solving, and leadership skills.

  • Ability to thrive in a dynamic environment and switch between startup agility and enterprise-grade execution.

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