Software Engineer, Data Platform - Fully Remote USD - Latin America

Posted 7 Hours Ago
Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
2K-5K Annually
Mid level
Artificial Intelligence • Greentech • Robotics
Technology to end waste
The Role
Design and develop software for edge devices, cloud servers, and web applications, focusing on APIs, user interfaces, and data processing pipelines while collaborating with teams to solve technical issues.
Summary Generated by Built In

This role is FULLY REMOTE from Latin America - Pacific Time zone

Hey, we're Glacier! A Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.

Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity.

From major CPG companies like Colgate and Amazon to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions and featured in a TIME documentary, TechCrunch, Fortune, and CBS.

Here's where your expertise comes into play:

We are looking for a talented software engineer to help us build and scale our image capture and analysis platform. You will be responsible for designing, developing, testing, and maintaining the software across our edge devices, on-premise and cloud servers, and customer-facing web applications.

Your responsibilities:

  • Develop and maintain software for our edge devices, server infrastructure, and web applications.

  • Build and improve the APIs connecting our system components (edge, server, web).

  • Design and improve the user interfaces that customers use in our web application.

  • Implement, manage, and optimize data processing and machine learning inference pipelines on our servers.

  • Troubleshoot problems across the hardware/software stack, from edge devices through the server to the web frontend.

  • Collaborate with the team to design new features and solve technical challenges.

What You Bring:

  • 3+ years of work experience with relevant programming languages (e.g., Python for backend/edge, JavaScript/TypeScript for frontend).

  • 1+ years developing or consuming APIs (e.g., RESTful APIs).

  • Solid experience with backend web frameworks (e.g., FastAPI, Django, Flask).

  • Strong problem-solving and debugging abilities.

  • English Proficiency as you will be working with a US based team (C1 or higher)

Nice to have:

  • Cloud platforms (AWS)

  • Containerization (Docker, Kubernetes)

  • Database systems (SQL or NoSQL, e.g., PostgreSQL, DynamoDB, ElasticSearch).

  • Experience working with US companies or clients is a plus

Compensation & Benefits

  • $2,000-$4,500 USD per month/depending on your location and skills/experience

  • 15 Days Paid Time Off + your National Holidays

  • $500 for your remote set up + $100/mo for your wellness

Why Join Us?

  • Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste.

  • Cross-Functional Impact – Work closely with product, engineering, field operations, and customer success to solve complex problems with meaningful outcomes.

  • Backed to Succeed – Our founders bring experience from Facebook and Bain, and we’re supported by top-tier investors with deep technical and industry expertise.

Skills Required

  • 3+ years of work experience with relevant programming languages
  • 1+ years developing or consuming APIs
  • Solid experience with backend web frameworks
  • Strong problem-solving and debugging abilities
  • English Proficiency (C1 or higher)
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The Company
HQ: San Francisco, CA
93 Employees

What We Do

Glacier's mission is to end waste. Sound ambitious? We agree. But the UN estimates that we only have until 2030 to change our consumption patterns before we do irreversible damage to the environment, so we’re of the opinion that now is the time for big bets. We’re starting in the world of recycling, which has a huge opportunity for impact. Americans send 1.4 million tons of waste to recycling facilities every week (that’s about 4 Empire State Buildings, or 1.5 Golden Gate Bridges). We’re also really bad at it: 25% of what we put in our recycling bins isn’t even recyclable. These recycling facilities make a living by sorting our jumbled-up waste and they need to do it cheaply and accurately. Otherwise they go out of business and our recycling goes straight to the landfill. Even so, recycling facilities today use processes that are highly manual, expensive, and error prone. We plan to revolutionize the way these facilities use technology, to make them more streamlined, accurate, and profitable - which means more recyclables avoid the landfill, and more of our natural resources are protected. Our growing team draws from the brightest and most passionate professionals across robotics, manufacturing, software, AI, and market strategy. We’re united by our deep-rooted passion to make a big environmental impact, and we’re looking for other mission-driven, creative thinkers to help us right the ship on this truly global issue.

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