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Do you want to work for a mission-driven non-profit, writing software that will contribute to helping millions of coffee farmers out of poverty? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering Team. We have teams around the world: we are about 65 people spread over almost two dozen countries, and of all backgrounds and identities.
We care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.
We are looking for a backend software engineer with a focus on python and PostgreSQL to join our Core Engineering Team on a remote, full-time basis. Our Core Engineering Team is a five-person team (soon to be seven!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry. While our current core engineering team is primarily located in the United States, we’re open to candidates located almost anywhere.
About Our Core Engineering Team
The Core Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. Our work supports our Operations Teams in authoring surveys and deploying surveyors, our Data Team in analyzing field data, and our Partnerships and Data Visualization Teams in creating clear insights for our clients.
While our tooling varies across internal products, our backend services primarily use a Python/PostgreSQL stack running on Linux to run our GraphQL APIs. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment.
What You’ll Be Doing
Who You Are
We are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application.
After your introductory interview, we expect your interview process to take three to four weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews. See the hiring page at https://www.enveritas.org/jobs/frontend-software-eng/ for details about each of these interviews, including links to our interview prompts as available
Feel free to contact us at firstname.lastname@example.org should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.
For a US-Based hire, full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 12 standard holidays, and personal/sick time.
For a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for each position will be paid in relevant local currency.
For all staff, we are able to offer: