techfolk Ltd
Location
Cambridge, Cambridgeshire | United Kingdom
Job description
Pivotal is hiring a Lead Engineerto take ownership of our web applications and small agile development team.
Following our €5.6m seed round investment from some of Europe's leading VCs and advocates for a better planet, we are growing our team to support our next stage of growth. We are here to build an institution that changes the way the world collaboratively works on the largest problems our planet is facing, and the only way we can do that is by bringing together a team who is passionate about restoring nature in new and exciting ways.
You will have strong knowledge of developing APIs and services using Python frameworks such as Flask, FastAPI or Django and be comfortable working across the full stack from database, to API, to front-end. You will also have experience of running agile sprints, leading stand-ups and retrospectives and managing a task backlog.
Role responsibilities
We're looking for
What we offer you
Details
Location: Fully remote
Start date: March/April
Salary: £70-£80K
About us
Pivotal are a team of ecologists and technologists who believe good business must be good for nature. We’re building an economy that puts nature and business in balance by incentivising the restoration of nature at scale.
Economies and societies around the world need our planet’s diverse plant and animal life to create the products and services we take for granted. Protecting and restoring nature is vital to the future of human life as we know it.
For the first time, investment into biodiversity regeneration is being prioritised. Financing is flowing to projects and start-ups that are creating practical, viable solutions. Governments, companies and individuals around the world now need affordable, scalable ways to link biodiversity commitments and actions to real, evidenced outcomes. That’s where we come in.
Our mission is to provide the data people and companies need to invest in positive outcomes for nature. We capture biodiversity data on the ground using a range of technologies. All the data we collect is organised and analysed first with machine learning, then quality-checked by ecosystem experts to provide measured, quality-controlled analytics to show evidence of any biodiversity gains on the ground. We can then link these measured gains to a variety of financial mechanisms – such as sustainability-linked bonds and biodiversity credits – enabling money to flow to those projects and activities that create the most positive change.
We are a remote first diverse team with diverse backgrounds. We expect there will be areas of development so please do apply if you don’t feel that you meet all the criteria. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion or belief, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity, disability status or any other basis as protected by applicable law.
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