Senior Product Engineer
Job Title
Senior Product Engineer
Salary
£85k–£120k + Equity
Company Description
infact.io is a seed-stage London fintech that raised £4m from AlbionVC to build the UK's first real-time credit bureau. They provide API-first infrastructure that connects directly to financial data sources, enabling lenders to access live credit signals and move away from stale, batch-processed data.
Job Description
As the senior technical lead reporting to the CTO, you will own the architecture and delivery of high-performance Go microservices on AWS. You will set the technical bar for the engineering team, mentoring mid-level developers while building reliable infrastructure that powers sub-second credit decisions for a new generation of UK lenders.
Location
London, UK
Why this role is remarkable
Ground-floor opportunity to build the core infrastructure of the UK's first real-time credit bureau from scratch, replacing legacy systems that haven't changed in decades.
Backed by £4m in seed funding from AlbionVC, offering the stability of a funded startup with the high-impact ownership of a small, five-person engineering team.
Direct reporting line to the CTO with zero layers of management or committees, giving you genuine autonomy over architecture, code quality, and technical strategy.
What You Will Do
Design and scale high-performance Go microservices on AWS using Fargate, Lambda, and Aurora Postgres to handle sub-second latency for regulated B2B APIs.
Act as the most senior technical voice in the engineering team, mentoring mid-level engineers through code reviews, pairing, and setting excellence standards.
Drive critical architectural trade-offs across the data layer and API surface, balancing rapid delivery with the security and reliability required for fintech infrastructure.
The ideal candidate
You have 5+ years of commercial experience building and operating production-grade B2B API services, with deep technical expertise in Go (Golang).
You possess a strong track record of scaling cloud-native systems on AWS, specifically working with managed services like DynamoDB, Aurora, and containerized workloads.
You are an engineer who leads by example, elevating the craft of those around you while making pragmatic, responsible use of modern AI tooling like Claude and Bedrock.