Senior Fullstack Engineer (up to £105k)

Dex; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Dex seeks a senior engine er to own substantial parts of a modern data platform. You will scale components, ensure reliability, and embed AI into core workflows. The role emphasizes ownership from backend storage to data pipelines, with strong emphasis on AWS, Kubernetes, and a Python/React stack.

You will work on a lean team, tackle technically challenging problems, and influence architecture decisions while delivering robust platform capabilities for enterprise customers.

Qualifications

• 5+ years of production experience owning significant platform components end-to-end.
• Proficient in Python stack (Django/Flask/FastAPI) and React with backend DB experience.
• Experience deploying and operating services on AWS with Kubernetes.
• Active use of AI tooling in engineering workflows.
• Ability to articulate past architectural decisions in complex problems.

Responsibilities

• Build and scale core data platform components to support hundreds of enterprise customers.
• Drive reliability across the stack from Postgres/Redshift to Iceberg.
• Own infrastructure on AWS and Kubernetes, beyond application code.
• Embed AI directly into product and engineering workflows.
• Reduce manual support via automation and platform improvements.

Skills

Python

React

AI tooling

Ambiguity handling

Tools

Postgres

Redshift

Apache Iceberg

Django/Flask/FastAPI

React

AWS

Kubernetes

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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