8 дней назад
Senior Full Stack Engineer (Python)
90 000 - 110 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full Stack Engineer (Python/climate intelligence): Building end-to-end software across user interfaces, APIs, and data pipelines for an environmental intelligence platform with an accent on geospatial data, AI, and flexible polyglot engineering. Focus on turning ambiguous ideas into production-ready MVPs, evolving existing architecture, and delivering reliable product outcomes across platform and customer-facing systems.
Location: London, United Kingdom; hybrid
Base salary: £90,000–£110,000 per year, plus equity and bonus.
Company
is a climate-tech first-mile intelligence platform using AI, satellite data, and quantitative modelling to improve visibility across agricultural and soft commodity supply chains.
What you will do
- Build and maintain software across user interfaces, APIs, and supporting data pipelines.
- Turn emerging ideas into MVPs and proof-of-concepts to accelerate customer feedback and product iteration.
- Make implementation and architectural decisions within existing platform constraints and evolve the architecture thoughtfully.
- Support production software through maintenance, documentation, and operational follow-through.
- Contribute through code review, mentoring, tooling improvements, and cross-functional demos.
Requirements
- Deep expertise in Python as a primary language, with the ability to work across a polyglot stack.
- Ability to solve ambiguous problems independently and make sound engineering decisions.
- Experience working within existing platform architecture rather than defaulting to rewrites.
- Clear technical communication, documentation, collaboration, and constructive code review.
- Comfort working in a fast-moving startup environment and using AI productively in development.
- Availability for a hybrid role based in London.
Nice to have
- Experience with geospatial data, GIS, remote sensing, or Earth Observation.
- Familiarity with Postgres, PostGIS, NumPy, GeoPandas, or Xarray.
- Experience with data pipelines, Python APIs, database management, application development, or visualisation.
- Familiarity with TypeScript, React, or NestJS.
Culture & Benefits
- High-trust environment with autonomy, experimentation, and continuous learning.
- Unlimited leave, flexible working hours, medical insurance including optical and dental, pension scheme, group life insurance, and income protection.
- Company Apple MacBook, Cycle to Work scheme, office snacks and drinks, and monthly team socials.
- Opportunities to work on applied AI, environmental data, sustainability, and complex global supply-chain challenges.
Hiring process
- Recruiter screen lasting 30–45 minutes.
- Hiring manager and collaborative technical session lasting 45–60 minutes.
- Final cross-functional or executive conversation, if applicable, lasting 30–45 minutes.
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