At Carbon Re, we’re on a mission to cut gigatonnes of carbon emissions from the world’s biggest emitting industries (like Cement, steel and glass), by applying cutting-edge AI where it matters most.
We’re a small and growing team of scientists, engineers, strategic thinkers and implementers who care deeply about impact and believe in getting there with good humour and a healthy dose of urgency. Our first SaaS product helps cement producers optimise their operations in real time, cutting costs and carbon today while building foundational AI for the next industrial revolution.
With Carbon Re, you’ll do something that
actually
helps the planet. Not a bad way to invest your career.
About the role
We’re looking for a Senior Software Engineer to join our platform team and help us push the boundaries of what AI can do for the planet.
We don’t draw a specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial-grade software development, offering diverse learning and impact opportunities.
Your main responsibilities
- Talk to colleagues about their work, the processes they follow, and the roadblocks they face.
- Propose, design, build and document robust software systems to meet those needs.
- Assist more junior team members with their learning and explain how things work.
- Deliver pragmatic solutions that balance short-term delivery with long-term maintainability.
What a great fit looks like
- You’re fluent in Python and Terraform.
- You are excited about building internal tooling and CI/CD.
- You’ve worked in a cloud environment; bonus points for Google Cloud expertise.
- You love collaborating with others and are familiar with agile technical practices, including pair programming, mobbing, and TDD.
- You are comfortable with ambiguity and enjoy owning a problem from discovery to delivery.
You’ll excel if
- You are seeking a role in climate tech, or tech for good.
- You have a genuine interest in machine learning and the physical sciences.
- You have opinions about how to build robust model deployment platforms.
We’re building a team that reflects the world we want to change. Our people come from all walks of life - different countries, cultures and experiences - and we think that’s one of our biggest strengths. We’re committed to creating a workplace where everyone feels safe, respected and celebrated. No matter your background, if you’re excited by what we do, we want to hear from you.
The interview process
We run a 4-stage process for engineers after the initial short screening call to confirm alignment on role expectations, experience, and next steps.
- Pair programming: you’ll meet with another engineer to work on a toy problem together. You can use Google or LLMs, or you can ask your pair for help. We want to know what you’re like to work with, how you approach solving problems in an unfamiliar space, and how you communicate about code.
- Whiteboard session - you’ll meet with two of our engineers. We’ll ask you to draw a diagram of a system you’re familiar with and walk us through its major architectural components. We’ll ask questions about the decisions you made, and the things you like and dislike. We want to know how well you understand the technologies you use, and how you communicate about complex technical matters.
- Operating principles: You’ll meet with some people from other parts of the business. We’ll ask you questions to understand how you would work in a culture governed by our operating principles.
- Meet the CEO - before we make an offer, we’d like to schedule a 15-minute chat with Josh, our CEO.
We believe hiring is a two-way process. Just as we’ll reference-check candidates before making a final offer, we encourage you to reference-check
us
by chatting with team members you haven’t yet met. Ask anything. We’ll answer with Concrete Honestly.
Once interviews are done, we’ll move quickly to a decision, and we’re always happy to give feedback at any stage.
