About the role
About Us
Do you want to work on the most pressing problem of our generation? Do you have experience as a founder or entrepreneur and know what it’s like to roll up your sleeves and execute well, while building a company around you for the long term? If you truly know what it feels like to fly the plane while trying to build it, we want to hear from you. We’re looking for the best software engineers in the world to join a growing series A startup. At CarbonChain we see the climate crisis as a transformative opportunity for the global economy, and a rewarding career opportunity.
Decarbonizing the economy requires a granular, real-time view of where emissions come from and how they might be reduced. We’ve built software to automate the carbon footprinting of supply chains so their emissions can be measured and managed down. Banks, traders, and manufacturers use our product to tame the complexity of international supply networks, identify the most carbon-intensive parts, and find greener alternatives. Having developed technology which is significantly ahead of competitive solutions, we are now investing heavily in market adoption.
To join CarbonChain, you’ll need a proven career path in software engineering both in building and operating software, and building and coaching high performing teams. Our company is made up of passionate people with expertise ranging from oil refining to deep learning. Between us we’ve run Amazon’s European supply chain, built JustEat’s corporate meal delivery platform, and monitored industrial emissions with satellites in all corners of the globe. We’ve got MBAs and PhDs but we know that there’s a lot we don’t know, and we’re hoping you can help fill that gap.
About the Role
The Tech teams at CarbonChain build and operate the systems that help sustainability leaders decarbonise their industries. We enable the union of carbon data with our customer’s data to create actionable insights into where carbon emissions are generated in our customer’s supply chains. This is an exciting mix of fullstack software engineering, backend systems engineering, data engineering and data science.
