Lead Software Engineer

London
1 day ago
Create job alert

Lead Software Engineer
Stealth AI Fintech Startup | London | Hybrid (3 days on-site)
We’re hiring on behalf of an innovative Fintech startup that is building an AI-driven platform that’s rethinking how investors analyse, access, and manage alternative assets (e.g. private equity, private credit and other private markets).
They've built there MVP, raised funding from experienced fintech founders and senior figures in financial services, and are now scaling a category-defining product at the intersection of AI, automation, and finance.
We’re looking for an exceptional Lead Engineer to help shape the technical foundation of the company, stay hands-on, and build a world-class engineering team from the ground up.
The Role
This is a hands-on leadership role for someone who wants to code daily, own architecture, and lead by example.
You’ll design and build the core AI-powered platform, set technical standards, and work closely with product, data, and leadership to ship intelligent automation and decision-support tools for a legacy industry.
What You’ll Be Doing
You’ll lead the architecture of an AI-driven investment intelligence platform while staying deeply hands-on across the entire stack, from frontend UX to backend services, AI integrations, and core infrastructure. Working closely with the CTO, data scientists, and product leadership, you’ll help shape both the technical direction and the product itself.
You’ll build and mentor a small, elite engineering team, setting a high technical bar through example while driving strategy around scalability, security, and reliability. Along the way, you’ll explore and integrate emerging AI frameworks, tools, and blockchain technologies to keep the platform at the cutting edge.
What We’re Looking For


  • 5+ years of professional software engineering experience

  • 2+ years in a technical or team lead role

  • Strong ownership mindset; you execute and lead from the front

  • Excellent communication and decision-making under ambiguity

  • Node.js, React, and TypeScript

  • Python for AI workflows and automation

  • Microservices and distributed system design

  • Experience with AI / LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM)

  • GCP experience and DevOps best practices (monitoring, observability, CI/CD)

  • PostgreSQL and relational data modelling

  • Event-driven systems (Pub/Sub, Kafka) and NoSQL (e.g. MongoDB)

  • Experience building and running production SaaS platforms

Nice to Have


  • RAG, autonomous agents, or Model Context Protocol (MCP)

  • TDD, Agile, and DevOps environments

  • Blockchain / Web3 integrations or tokenisation frameworks

  • Cryptography, security, or distributed systems knowledge

  • Fintech, asset management, or due-diligence automation background

Why Join


  • Build a category-defining AI product in fintech

  • Stay deeply hands-on while growing into a senior technical leader

  • Shape architecture, culture, and engineering standards from day one

  • Work with an experienced CTO and leadership team

  • Real ownership and real impact; your code and decisions will shape the company

  • Backed by serious operators and investors in fintech and financial services

  • High-trust, high-ambition, low-bureaucracy startup environment

Related Jobs

View all jobs

Security Design Engineer (Software & App Design)

Logistics Software Engineer

Security Design Engineer (AppSec)

FPGA Engineer / Senior FPGA Engineer

Techncial Delivery Lead

Security Operations Centre / SOC Team Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Cyber Security Job Ad That Attracts the Right People

Cyber security is now a board-level priority for organisations across the UK. From financial services and healthcare to critical infrastructure, SaaS platforms and the public sector, demand for skilled cyber security professionals continues to grow. Yet despite this demand, many employers struggle to attract the right candidates. Cyber security job adverts often generate large volumes of applications, but few are a genuine match. Meanwhile, experienced security engineers, analysts and architects quietly ignore adverts that feel vague, unrealistic or disconnected from real security work. In most cases, the problem is not a lack of talent — it is the quality of the job advert. Cyber security professionals are trained to assess risk, spot weaknesses and question assumptions. A poorly written job ad signals organisational immaturity and weak security culture. A well-written one signals seriousness, competence and trust. This guide explains how to write a cyber security job ad that attracts the right people, improves applicant quality and positions your organisation as a credible security employer.

Maths for Cyber Security Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for cyber security jobs in the UK it can feel like “real security people” must be brilliant at maths. The reality is simpler: most roles do not need degree-level pure maths. What they do need is confidence with a small set of practical topics that show up repeatedly in day-to-day work across SOC, incident response, cloud security, AppSec, threat detection, IAM & security engineering. This guide strips the maths down to what actually helps you get hired. It includes a 6-week learning plan plus portfolio projects you can publish to prove the skills. You will focus on: Number systems & bitwise thinking (binary, hex, bytes, XOR) Modular arithmetic basics (enough to understand how modern crypto “works”) Probability & statistics for detection, triage & risk Discrete maths for logic, sets, graphs & complexity Security maths habits: estimation, false positive control & evidence-led reporting You will not waste time on heavy theory that rarely appears in junior or mid-level cyber security roles.

Neurodiversity in Cyber Security Careers: Turning Different Thinking into a Superpower

Cyber security is all about thinking like an attacker, spotting unusual patterns, protecting systems & responding calmly when everything looks like it’s on fire. It’s a discipline built on curiosity, persistence & noticing things other people miss. That’s exactly why it can be such a good fit for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a security role. In reality, the traits that can make traditional office work tough often line up beautifully with cyber security work – from hyperfocus in incident response to meticulous analysis in threat hunting. This guide is written for cyber security job seekers in the UK. We’ll look at: What neurodiversity means in a cyber context How ADHD, autism & dyslexia strengths map to different security roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence during applications & interviews By the end, you’ll have a clearer sense of where you might thrive in cyber security – & how to turn “different thinking” into a genuine superpower.