This is a remote position.
About Give
Give enables individuals and organizations to raise and donate funds conveniently to any cause they care about, with offerings including crowdfunding, CSR services and platforms and nonprofit information. Give’s community of 2.6M+ donors support 2,800+ verified nonprofits, serving 15M+ people across the country.
Give aims to bridge the gap between the people who want to make a difference through giving back and those who need support. Give is led by a team of highly passionate individuals from top-tier institutions with decades of corporate experience.
Role: Engineering Head, give.do (India’s largest crowdfunding platform for nonprofits)
Location: Remote
About the Role
We’re looking for an Engineering Head to lead the team responsible for building, scaling, and maintaining the technology that powers India’s largest crowdfunding platform for nonprofits. You’ll work closely with the product team, and will be responsible for design, development, quality, and reliability of the platform. You will also be responsible for AI adoption to drive speed and agility, without compromising on quality.
This role is ideal for someone who wants to stay deeply hands-on, while also growing into strong people and execution leaders.
Responsibilities
Own the engineering roadmap in collaboration with product and business stakeholders
• Lead engineering execution across design, development, QA, and infrastructure
• Design, review, and implement high-quality software systems and reliable architecture
• Mentor and manage a team of ~5 engineers
• Champion best practices in software engineering, CI/CD, and cloud infrastructure
Requirements
Requirements
• 7–12 years of experience in software engineering, with at least 2 years in a technical leadership or management role
• Proven ability to write and review high-quality code
• Strong understanding of system design, databases, API development, and cloud infrastructure (e.g., AWS, GCP, etc.)
• Comfort with the MERN stack
• Familiarity with DevOps practices and setting up observability tools
• Ability to deeply leverage AI tools for software development and delivery, and to drive their adoption across the engineering team
• High degree of ownership and autonomy—you can drive projects independently and take accountability
