Software Engineer

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.

• 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.