Software Engineer (Backend & distributed systems)

Permutable; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Permutable, a London-based startup, is building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. You will design and build scalable backend services and data pipelines, engineer cloud-native solutions on AWS, and collaborate with a core team to push innovation.

The role requires 2–3 years of professional software engineering experience, strong Python skills, and familiarity with CI/CD, Docker, and monitoring.

Qualifications

• 3–2 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.

Responsibilities

• 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) 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.

Skills

Python

Software engineering fundamentals

DevOps practices

CI/CD

AWS

Docker

Collaboration

Startup mindset

Education

Bachelor's degree in CS/Engineering/Math

Tools

AWS

Docker

GitHub Actions

Pulumi

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.

• 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.

• Hybrid Flexibility: Spend 3 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.

• A Close-Knit Startup Culture: Work alongside a small, supportive team that makes time to connect, from regular socials and offsites to sports events and office treats.