Software Engineer (Backend & distributed systems)

Permutable, London, United Kingdom

What our tracking knows about this posting

Published on 24 September 2026 · first appeared in our records on 24 September 2026.

Stable posting: first seen on 24 September 2026, with no abnormal reposting.

This posting shows no salary, while 22% of open postings in the same sector in this country (United Kingdom) do.

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At Permutable, we’re building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious startup, you’ll work directly with our founder and a core team of talented engineers to drive innovation. What You’ll Do • Design & Build robust software systems – develop scalable backend services and APIs that power our AI-driven applications. • Develop & Optimise data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data. • Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi. • Collaborate & Brainstorm with our engineering team – we frequently share ideas to innovate, plan strategy and decide on next steps. • Own Your Responsibilities – your code will directly shape our core platform and reach production rapidly. • 2–3 years of professional software engineering experience (or equivalent). • Python expert with strong software engineering fundamentals. • Experience with DevOps practices: CI/CD pipelines (e.g. GitHub Actions), containerisation (Docker), automated testing, and monitoring. • Strong academic background in Computer Science, Engineering, Mathematics, or related field, ideally from a top-tier university. • Startup mindset: proactive, resourceful, ambitious, eager to learn, and comfortable wearing multiple hats in a fast-moving environment. • Bonus: hands-on experience with distributed systems, AWS services, or AI/LLM applications.

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