Back-End Engineer

Location: Remote
Type: Full-time
Reports to: CTO
Start Date: As soon as possible

Map of Life Solutions is a biodiversity intelligence company that leverages advanced analytical methods developed at the Yale Center for Biodiversity and Global Change. We integrate AI, remote sensing, and ecological data to provide near-real-time insights into species distributions and biodiversity trends. Our work is at the forefront of conservation technology, supporting decision-makers in Corporate ESG teams, conservation project managers, governments, and NGOs with actionable biodiversity insights. Map of Life is one of the winners of the XPRIZE Rainforest competition, a global challenge utilizing robotics, UAVs, AI, and advanced sensing technologies to measure biodiversity in rainforest ecosystems.

We are looking for a Back-End Engineer to develop the scalable, high-performance tools that power our biodiversity intelligence platform. You will play an important role in building data pipelines, APIs, and cloud-based infrastructure, working closely with frontend engineers, scientific team, and leadership team to develop innovative solutions.


What You Will Do

  • Design, develop, and optimize scalable, secure, and high-performance backend systems.

  • Build and maintain RESTful APIs for seamless integration with front-end applications and data sources.

  • Develop and manage data pipelines to ingest, process, and analyze large biodiversity datasets from multiple sources.

  • Implement cloud-based solutions (AWS, Google Cloud, or Azure) to ensure efficient, secure data storage and processing.

  • Employ relational and NoSQL databases for efficient data storage and indexingImplement logging, monitoring, and alerting systems to maintain platform health and uptime.

  • Stay ahead of emerging technologies and adopt best practices to enhance system performance.


Who You Are

  • 3 to 5 years of experience in backend development.Proficient in Python, Node.js, or Go.Strong experience in building scalable APIs (RESTful, GraphQL).

  • Deep knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, BigQuery).

  • Experience with cloud platforms (AWS, Google Cloud, or Azure).

  • Proficiency in Docker and Kubernetes for containerized applications.Familiarity with distributed computing and parallel processing.

  • Good understanding of authentication, authorization, and API security


Beneficial Qualifications

  • Experience with geospatial databases & GIS tools (PostGIS, GeoPandas, GDAL).Background in data engineering & ETL pipeline optimization.

  • Knowledge of event-driven architectures (Kafka, Pub/Sub).

  • Proficiency in containerization and orchestration (Docker, Kubernetes).

  • Familiarity with biodiversity, ecological, or environmental datasets.


What We Offer

  • Impact-driven work where contributions will help support global biodiversity conservation efforts.

  • Being part of a rapidly growing organization with growth opportunities.

  • A flexible remote-work environment where you can work from anywhere.


How to Apply
If you are interested in becoming part of our dedicated team, please submit a brief cover letter and your resume to hiring@mapoflife.ai

Map of Life

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Map of Life

Research by

Supported by

Winner of

Stay in the know.

Connect with

Copyright © 2025

Map of Life

Research by

Supported by

Winner of

Stay in the know.

Connect with

Copyright © 2025

Map of Life

Research by

Supported by

Winner of

Stay in the know.

Connect with

Copyright © 2025