Software Engineer

Permutable.AI; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work in Vauxhall hub

Real responsibility from day one

Collaborative culture and mentorship

Career growth across software, cloud,+

Job summary

Permutable.AI is building intelligent systems to automate market analysis using NLP and multi-LLM frameworks. Join a small, ambitious startup where you’ll work directly with the founder to drive innovation.

You will design scalable backend services, optimise data pipelines, and implement cloud-native solutions on AWS. Hybrid work is available with 2+ days in our Vauxhall hub, and you’ll contribute from day one to production-ready code.

Qualifications

• 2–3 years of professional software engineering experience.
• Strong Python programming and software engineering fundamentals.
• Experience with DevOps: CI/CD (GitHub Actions), Docker, automated testing, and monitoring.
• Strong academic background in Computer Science, Engineering, Mathematics, or related field.
• Startup mindset: proactive, resourceful, ambitious, eager to learn.
• Bonus: distributed systems, AWS services, or AI/LLM applications.

Responsibilities

• Design and build scalable backend services and APIs powering AI-driven applications.
• Develop and optimise data pipelines for ingesting, processing, and serving financial data.
• Engineer cloud-native solutions on AWS and automate deployments with GitHub Actions & Pulumi.
• Collaborate with the engineering team to brainstorm and plan next steps.
• Own your responsibilities and ship code that shapes the core platform toward production.

Skills

Python expert

DevOps practices

CI/CD pipelines

Docker

GitHub Actions

Automated testing

Monitoring

Distributed systems

AWS services

Startup mindset

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

AWS Lambda

AWS ECS/EKS

AWS S3

Redshift

Job description

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.

What We’re Looking For

• 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.

Why Permutable?

• Hybrid Flexibility: Spend 2+ days/week in our Vauxhall hub.
• Real Responsibility: From day one, your contributions will influence our product’s performance and reach production quickly.
• Collaborative Culture: Participate in regular brainstorms where every voice matters, and benefit from mentorship by senior engineers.
• Career Growth: Broaden your expertise across software engineering, cloud infrastructure, and AI-driven applications at the frontier of automated market analysis.