About Our Engineering & Data Group
We are a quirky, talented, and humble group of about twenty-five people with diverse backgrounds, ranging from journalism to academia to international industry. We’re represented across the gender spectrum, with 36% of our Engineering and Data Group identifying as women and/or nonbinary. Several of us are parents, with more expecting.
Our group 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. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers.
Our backend services primarily use a Python/PostgreSQL stack running on Linux. 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
You will contribute to major feature planning and development, both independently and in collaboration with your teammates.
- Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.
- Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry).
- Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.
Qualifications
- Strong ability to present and explain complex ideas clearly to non-technical colleagues.
- Demonstrated ability to apply design patterns for creating modular and efficient software, with the ability to teach others how to solve architectural problems.
- Extensive experience with Python, including developing applications and complex data processing tasks. Familiarity with Django or Flask.
- Advanced experience with PostgreSQL, including query optimization, joins, stored procedures, and performance tuning.
- Practical experience with Linux, Bash scripting, Docker containers, and AWS services (EC2, RDS, CloudFront).
- A minimum of five years of full-time professional experience as a backend software engineer.
- Bachelor’s degree in computer science or equivalent training in the principles of software engineering.
Research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your application answers. We’d love to talk with you to see what skills you can bring to our team.
Who You Are
Our team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.
You should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.
We are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.
About Working With Us & Compensation
Enveritas has teams around the world: we are about 100 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/
For a US-Based hire, base salary for this position will be between $135,000 and $155,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 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 this position will be paid in relevant local currency.
For all staff, we are able to offer:
- Annual all-company retreat and annual group retreat.
- Annual education budget for conferences, books, and other professional development opportunities.
- Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.
Interview Process
We are committed to fair and equitable hiring. To honor this commitment, we are transparent about our interview process. See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about our interview stages. After your introductory interview, we expect your interview process to take four to six weeks, consisting of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.
