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- Tasks: Develop innovative software solutions for sustainability using AI and cutting-edge technologies.
- Company: Join Canbury, a tech-driven sustainability firm making a real impact.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic hybrid work environment with a focus on career development.
- Why this job: Be at the forefront of AI in sustainability and contribute to meaningful projects.
- Qualifications: 2+ years in software engineering with strong DevOps and full-stack skills.
The predicted salary is between 40000 - 60000 £ per year.
Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change.
We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis.
As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production.
Infrastructure, full-stack product work, and AI/data engineering all sit within the role. Our clients steward trillions in assets. Responsibilities include:
- Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls.
- Develop full-stack features end-to-end, from Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables.
- Build Python-based data and AI pipelines.
- Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini).
- Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design.
- Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices.
Requirements:
- At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes.
- Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code.
- Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred).
- A track record of building and shipping personal projects, open-source contributions, or production systems you can talk about in detail.
- Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop.
We have an office in Farringdon. Type: Full-time, permanent. Salary: £40k-60k+ depending on experience.
Full Stack Engineer (hybrid or remote) in London employer: Canbury
Contact Detail:
Canbury Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer (hybrid or remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, and Azure. This is your chance to demonstrate your full-stack capabilities and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Canbury. Tailor your application to highlight your experience with AI, DevOps, and sustainability to stand out from the crowd.
We think you need these skills to ace Full Stack Engineer (hybrid or remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Full Stack Engineer role. Highlight your experience with Python, React, and Azure, and don’t forget to mention any relevant projects or contributions you've made!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for sustainability tech. Explain why you’re excited about Canbury and how your background makes you a great fit for our team.
Showcase Your Projects: We love seeing what you’ve built! Include links to your personal projects or open-source contributions that demonstrate your full-stack capabilities and DevOps skills. This gives us a real sense of your hands-on experience.
Apply Through Our Website: To make sure your application gets to us directly, apply through our website. It’s the best way to ensure we see your application and can get back to you quickly!
How to prepare for a job interview at Canbury
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python (FastAPI), React/TypeScript, and PostgreSQL. Brush up on your knowledge of Azure services too, as they’ll likely ask about your experience with cloud platforms and containerisation.
✨Showcase Your Projects
Be ready to discuss your past projects in detail, especially those that involved shipping production systems. Highlight any personal projects or open-source contributions that demonstrate your full-stack capabilities and DevOps skills. This is your chance to shine!
✨Understand AI Integration
Since the role involves working with AI tools, make sure you understand how to integrate AI into software solutions. Familiarise yourself with LLM APIs and be prepared to discuss practical considerations like cost, latency, and reliability when using AI in production.
✨Ask Insightful Questions
Prepare some thoughtful questions about Canbury’s approach to sustainability and technology. This shows your genuine interest in the company and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.