Senior Software Engineer

Software Engineer & Senior Software Engineer | React, Type Script, Node, Python | Mission-Led Global Environmental Data Non-Profit

• Salary: (Software Engineer - £50,000-£60,000) / (Senior Software Engineer -£70,000 to £80,000)
• Location:
  
  London, Hybrid. You will need to be within commuting distance, though in reality the team works largely remotely with the office used roughly once a quarter

This is a non-profit that sits at the centre of how the world measures its environmental impact. They run an independent system that thousands of companies, cities and regions use to disclose how they are managing climate, water and nature, and that data feeds the investment and lending decisions of institutions holding a serious slice of the world's assets. The engineering here has a direct line to that mission: the Scoring team builds and maintains the internal platform that turns disclosure data into the scores everything else hangs off.

The stack is React, Type Script, Node and Python, running predominantly on Azure. The team has a genuine Python gap right now, so for the Senior seat in particular, real Python depth alongside the Type Script is what moves the needle. Everything is internal tooling, nothing customer-facing, and because the data is sensitive the environment is properly regulated.

• React and Type Script, the core front‑end stack for both seats
• Node.js
• Python (genuine depth for the Senior seat, solid working proficiency for the Software Engineer seat)
• Senior seat: a track record across large, multi‑product systems and the depth to mentor
• Software Engineer seat: strong fundamentals in at least one modern language and real project output, however it was built

• Microsoft Azure (the cloud the platform runs on; happy for you to pick it up if your background is AWS or GCP)
• Agile and Dev Ops ways of working
• A cross‑functional squad spanning product, QA, design and infrastructure
• Internal platform and tooling work, nothing customer‑facing
• Code review and technical documentation as part of the day‑to‑day

• LLMs or text‑based machine learning, the team is starting to fold AI into how scoring works
• Coming out of contract and looking to settle into a permanent team
• Interest in climate, sustainability or environmental data

The pull here is twofold: the work matters and the team trusts you to get on with it. You would be building the systems that decide how some of the world's biggest companies are scored on their environmental impact, and the Lead runs the team on autonomy rather than oversight, nobody chasing anybody, people just shipping. The platform is text‑heavy and they are starting to bring AI into the scoring methodology, so there is real scope to shape that if it is your thing.

• Generous non‑contributory pension
• Life assurance
• Employee Assistance Programme
• Training and development

If either seat sounds like your kind of work, apply and I'll give you a call to talk it through.