Senior Software Engineer | Python | Fully Remote

An innovative, mission-driven LegalTech SaaS startup is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, product development, and data engineering.

Role Information:

• Salary: Up to £100,000 (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
• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Technology, Information and Internet, Information and Media, Software Development
• Title tagline: Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines

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.

You’ll take technical ownership of the backend to ensure it’s robust, scalable, and ready for real customers, while adding new Data‑driven features, optimizing performance, and shaping the long‑term product roadmap.

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 thrives on turning early‑stage ideas into scalable, market‑ready products backed by solid data pipelines.

Responsibilities:

• Enhance and scale backend services in Python
• Architect event‑driven solutions in GCP with Pub/Sub & Cloud Run
• Build and optimize Python code for high‑performance backend systems
• Integrate APIs, enrich data, and deliver robust, scalable data pipelines
• Implement modern IaC practices for deployment and automation
• Leverage AI and tooling to boost workflow efficiency and deliver innovative product features
• Discover, design, and build with autonomy and minimal micromanagement
• Dedicate time to explore new AI tools, data engineering practices, and emerging tech to stay ahead of the curve

Qualifications:

• Deep experience in Python and backend development
• Strong background in product development and data engineering
• Familiarity with GCP, Pub/Sub, Cloud Run, and Terraform
• Ability to design event‑driven architectures and performant data pipelines
• Comfort with CI/CD pipelines, observability, and AI integration