Senior Software Engineer (Fundraising)
Overview
GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up.
Job Description
This role is about using engineering to support fundraising: delighting our donors; helping our fundraisers; getting donations recorded and safely started on their journey to our recipients; telling donors and the public about what happens to their gifts.
Responsibilities
- - Work independently with few constraints
- - Define what needs doing, do it, get it tested and launched, fix bugs, and hustle to make progress every day
- - Be on-call on peak donation days, including owning incidents
- - Work directly with non-engineers on messy, poorly defined, rapidly changing tasks
Required Skills
- - 4+ years of engineering experience
- - Comfortable with boring and legacy technologies (Laravel, PHP, plain JS, HTML, CSS, Salesforce, WordPress, SQL)
- - Happy working autonomously
- - Fluent in English
- - Happy to travel to meet colleagues a few weeks a year
Benefits
- - Competitive salary, including bonus
- - Robust health benefits plan
- - Unlimited PTO
- - Desk allowance and flexible work location
About the company
GiveDirectly is a nonprofit organization that helps people living in extreme poverty by delivering unconditional cash transfers directly to recipients via mobile payments. Operating across countries including Kenya, Uganda, Rwanda, Bangladesh, the DRC, and the United States, GiveDirectly enables governments, foundations, and individual donors to move resources efficiently and transparently to those who need them most. By using technology to identify recipients, deliver payments end-to-end, and rigorously measure impact through randomized controlled trials, GiveDirectly is reshaping international development—putting choice and agency in the hands of recipients while building one of the most scalable, evidence-driven models in global aid.
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