Senior Fullstack Engineer (up to £105k)

Dex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dex partner company is looking for an experienced engineer to own major data platform components, building scalable backend services with Python and React.

You’ll scale infrastructure on AWS and Kubernetes, embed AI features into the product and engineering workflows, and drive reliability as the platform grows from dozens to hundreds of enterprise customers.

Expect to tackle deep technical problems, shape architecture decisions, and mentor teammates as part of a lean team.

Qualifications

• 5+ years owning significant platform components end-to-end.
• Strong backend development with Python and React.
• Experience with AWS, Kubernetes, and data warehouses.
• Ability to design scalable, reliable data platforms.
• Proven communication of architectural decisions.

Responsibilities

• Build and scale core data platform components for growth to hundreds of customers.
• Improve reliability across stack: Postgres, Redshift, Iceberg.
• Own infrastructure on AWS and Kubernetes.
• Embed AI tooling into product and engineering workflows.
• Reduce manual support via automation and platform improvements.

Skills

Python

Django

Flask

FastAPI

React

Postgres

Iceberg

Redshift

AWS

Kubernetes

Tools

Iceberg

Redshift

Postgres

Kubernetes

AWS

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

Most companies talk about AI. This one uses it to solve a core business problem: predicting customer churn months in advance and automating revenue retention. They're a Series A company, backed by leading investors, and are scaling their platform from dozens to hundreds of enterprise customers.

You’ll join a lean, six-person engineering team, working across a modern fullstack. This isn't a role for someone who wants to just ship features; you'll own significant pieces of the data platform, from scalability and reliability to embedding AI directly into both the product and engineering workflows. Expect deep technical problems, not just application-layer tasks.

The work

• Build and scale core data platform components, moving from dozens to hundreds of enterprise customers.
• Drive robustness and reliability across the stack, from Postgres and Redshift to Apache Iceberg.
• Own infrastructure on AWS and Kubernetes, not just application code.
• Integrate AI directly into the product and engineering workflows, moving beyond experimentation.
• Reduce manual support overhead through automation and platform improvements.

What You Bring

• You have 5+ years of production experience, or equivalent depth, owning significant platform components end-to-end.
• You're proficient across a Python (Django, Flask, FastAPI) and React stack, with deep backend experience in Postgres, Apache Iceberg, or Redshift.
• You’ve deployed and operated services on AWS with Kubernetes and are ready for infrastructure ownership.
• You actively use AI tooling in your engineering workflow and want to build the infrastructure to embed it deeper.
• You thrive on ambiguous, technically challenging problems and can articulate your past architectural decisions.

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