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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, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- 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.
AI in production, infrastructure, full-stack product work, and AI/data engineering all sit within the role. Our clients steward trillions in assets.
- 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.
Hybrid. We have an office in Farringdon. Type: Full-time, permanent. Salary: £40k-60k+ depending on experience.
Full Stack Developer (Hybrid/Remote) in London employer: Canbury
Contact Detail:
Canbury Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Developer (Hybrid/Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Canbury employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, and AI. This is your chance to demonstrate your full-stack prowess and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for the tech interview! Brush up on your DevOps knowledge and be ready to discuss your experience with CI/CD pipelines and Azure. We want to see how you think and solve problems, so practice coding challenges too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Canbury and making an impact in sustainability.
We think you need these skills to ace Full Stack Developer (Hybrid/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 Developer role. Highlight your experience with Python, React, and any relevant DevOps practices. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for sustainability and technology, and explain why you're excited about working with us at Canbury. Let us know how your background aligns with our goals.
Showcase Your Projects: Don’t forget to include any personal projects or open-source contributions in your application. We love seeing what you've built and how you’ve tackled challenges in your work. It gives us insight into your problem-solving skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Canbury
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python (FastAPI), React/TypeScript, and PostgreSQL. Brush up on your knowledge of Azure and containerisation as well, since they’re key to the role. Being able to discuss how you've used these technologies in past projects will really impress.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any personal projects or open-source contributions. Highlight specific challenges you faced and how you overcame them, particularly in production systems. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand AI and Data Pipelines
Since the role involves working with AI and data engineering, make sure you can discuss your experience with LLM APIs and data pipelines. Be ready to explain how you’ve optimised for cost and quality in your previous roles, as this shows you understand the practical implications of working with AI.
✨Ask Insightful Questions
Prepare some thoughtful questions about Canbury’s approach to sustainability and technology. This not only shows your interest in the company but also gives you a chance to assess if their values align with yours. Asking about their CI/CD practices or how they handle infrastructure can also demonstrate your technical curiosity.