Cloud Services Engineering Intern - Lumenus Scientific

Company Description

LumenUs Scientific Solutions is a technology startup focused on using satellite, airborne, and in situ observations alongside GIS methods and innovative data science techniques to create a better world through actionable intelligence for the commercial realm as well as research institutions, NGOs, and policy makers. LumenUs is a triple bottom line company, meaning that we put people and the planet before profits. We offer competitive salaries and fully flexible work hours and location. Our employees are people with different strengths, experiences and backgrounds. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, neurodiversity, religion and many other parts of one’s identity. We understand that the strongest teams are diverse teams.

LumenUs is currently seeking to hire a talented cloud engineering intern to supercharge our capacity to make sense of geospatial datasets related to monitoring emissions of methane from anthropogenic sources like the energy and waste sectors. The intern will develop a basic cloud environment. Do the following statements describe you?

• I am currently a student in an accredited higher education institution.
• I am compulsively curious and have a fire in my belly to make sense of large messy datasets.
• I am willing to learn new skills and explore new frontiers as part of a team.
• I want to make the world a better place for everyone to live in.
• I have experience working in Google Cloud or AWS

If so, then you will be a great fit for the LumenUs team.

Role Description

This is an internship role with flexibility for remote work, for a current student. As a cloud engineering intern, you will help architect and implement a cloud-based analysis, modeling, and user-facing environment. Your work will contribute to the understanding and monitoring of carbon emissions and land surface changes, aiding in the development of solutions for climate change mitigation.

Required Qualifications

• At least two years of higher education coursework in computer science, data science, data engineering, or something similar OR similar experience outside the classroom
• Proficiency in programming languages such as Python or Java
• Proficiency in containerization technology such as Docker
• Excellent problem-solving and analytical skills
• Ability to work independently and collaboratively in a team environment
• Strong communication and presentation skills

Preferred Qualifications

• Passion for environmental sustainability and climate change mitigation
• Experience with Spark or Hadoop
• Experience with building distributed applications
• Experience with Google Cloud or AWS
• Experience with Kubernetes