Full-Stack Software Engineer — Impactful Cloud & Data

Referment; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Referment is partnering with a social-impact software business to build analytics and data products for public-service organisations. You will design and release features on a household data platform, working end-to-end from UI to cloud infrastructure in an AWS serverless setup.

The role involves hands-on coding, reviews and collaborative delivery under a Data Engineering Lead. You will contribute to feature work, maintenance, and engineering practices, including pairing and post-mortems, while

Qualifications

• Hands-on software engineering across multiple parts of a modern web stack.
• Solid understanding of testing, version control and collaborative delivery.
• Interest in cloud infrastructure and secure handling of sensitive data.
• Willingness to learn unfamiliar tools and develop potential.
• Clear communication and willingness to contribute to technical decisions.

Responsibilities

• Design, build, test and release features across front-end and back-end services.
• Work with React, TypeScript and Python services in an AWS serverless environment.
• Contribute to CI/CD, infrastructure as code and automated quality controls.
• Support event-driven data and data warehouse workflows on AWS.
• Handle maintenance, bug fixes and new product work with security and cost awareness.
• Participate in scoping, code review, pairing and post-mortems.

Skills

Full-stack development

React

TypeScript

Python

AWS

CI/CD

Testing

GitHub

Tools

AWS CDK

Playwright

Pytest

Mocha

Chai

FastAPI

RDS

Fargate

Lambda

S3

Athena

GitHub Actions

Job description

Referment is partnering with a social-impact software business to build analytics and data products for public-service organisations. You will design and release features on a household data platform, working end-to-end from UI to cloud infrastructure in an AWS serverless setup.

The role involves hands-on coding, reviews and collaborative delivery under a Data Engineering Lead. You will contribute to feature work, maintenance, and engineering practices, including pairing and post-mortems, while