Full-stack Engineer (£60k-£80k + Equity) at IoT climate-tech startup

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Job Title

Full-stack Engineer

Salary

£60k-£80k + Equity

Company Description

IoT climate-tech startup backed by Imagine H2O and Geovation

Job Description

Join a high-impact team building IoT sensors that protect urban infrastructure from flooding and pollution. As our second full-stack hire, you will lead a critical platform migration to AWS/Postgres, architect reliable data pipelines for real-time telemetry, and work across the stack from firmware interfaces to high-performance dashboards.

Location

London, UK

Why this role is remarkable

• Direct environmental impact building technology used by major utilities like Thames Water to prevent climate-related flooding and sewage failures.
• Immense technical ownership as a core member of a small, 5-person team where you influence system-level architecture and the transition to a modern cloud stack.
• Fast-paced startup environment with zero bureaucracy, working shoulder-to-shoulder with the founder to scale hardware-integrated software solutions.

• Lead the migration from a legacy MongoDB environment to a modern AWS-hosted GraphQL and Postgres platform for better scalability and performance.
• Design and maintain secure cloud infrastructure using AWS CDK, implementing IaC, CI/CD pipelines, and end-to-end observability tools like logs and metrics.
• Collaborate with firmware and app engineers to ingest, validate, and process IoT telemetry from physical sensors into actionable data insights.

• 3–5 years of experience in Python and React/TypeScript with a proven track record of shipping and operating reliable backend services at scale.
• Deep expertise in AWS infrastructure, including VPCs, containerisation (Docker/Kubernetes), and relational database schema design and optimisation.
• A pragmatic problem-solver comfortable with IoT data flows, interested in following a signal from a device modem through to a cloud-hosted database.

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And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

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Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

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We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

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