Senior Backend Software Engineer - Python, GCP, and Data Pipelines

wilson brown United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join a remote-first LegalTech SaaS start-up as a Senior Backend Software Engineer, building scalable backend services in Python, data pipelines, and event-driven solutions in GCP. Collaborate with users, bring a strong Product mindset, and have real influence over technical decisions.

Key Highlights
Build scalable backend services in Python
Design and implement data pipelines
Collaborate with users and bring a strong Product mindset
Technical Skills Required
Python GCP Terraform Pub/Sub SQL NoSQL TypeScript GitHub Actions Observability tools AI tooling
Benefits & Perks
Up to £65,000 salary
Fully remote work (UK only)
Equity

Job Description


Senior Software Engineer - Backend & Data | Fully Remote (UK)


Python | GCP | Terraform | Event-Based Systems | Data Pipelines


An innovative, mission-driven LegalTech SaaS start-up is looking for a Product Engineer (Backend & Data) with good commercial experience in Python for backend engineering. Alongside building microservices & API's using Python & TypeScript, the ideal candidate will also have experience building data pipelines, although this is highly desirable.


Role Information:


  • Salary: Up to £65,000 (DOE) + Equity
  • Location: Fully remote (UK only)
  • Stack: Python, TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling


You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one.


While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who has experience working in a fast paced environment where you have a lot of autonomy and your decisions have real product & commercial impact.


Senior Product Engineer - Highlights:


  • Enhance and scale backend services in Python
  • Build event-driven solutions in GCP with Pub/Sub & Cloud Run
  • Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines
  • Implement modern IaC practices for deployment and automation
  • Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features
  • Autonomy & Ambiguity - discover, design, and build without micromanagement.
  • Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to keep the Product ahead of the curve. They want engineers to be setup to stay on top in the new AI world.


Subscribe our newsletter

New Things Will Always Update Regularly