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Midnite

Lead Backend Engineer (AI & Back Office)

United Kingdom
Posted about 23 hours ago
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🚀 Why Midnite?

Midnite is a next-generation sports betting and gaming platform built for a new wave of players.

We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today.

Over 400,000 players have already made the move, and we’re only just getting started.

We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading.

Not your grandad’s bookie.

👀 The Role

Title: Lead Backend Engineer (AI & Back Office)

Team: AI & Back Office

Location: Remote, United Kingdom

This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You’ll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision-making, and efficiency across the company. You’ll combine technical leadership with hands-on engineering, guiding a small team while building production systems that have direct business impact.

You will:

  • Design and build scalable backend systems for Midnite’s internal back office platform.
  • Lead and mentor a small team of engineers while remaining hands-on in delivery.
  • Write production code and use AI-assisted development approaches to accelerate execution.
  • Productionise and deploy AI-powered tools for engineering and business use cases.
  • Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value.
  • Collaborate closely with Product to shape requirements, technical solutions, and delivery plans.
  • Work with internal stakeholders to understand operational pain points and turn them into effective tooling.
  • Define architecture, engineering standards, and best practices for a new team and platform.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The next Midniter:

  • Brings 7+ years of backend engineering experience, including time operating at a senior or lead level.
  • Has experience leading or mentoring engineers in a hands-on technical leadership capacity.
  • Has built internal platforms, back office systems, or operational tooling.
  • Has professional experience integrating LLMs or AI APIs into production environments.
  • Has a solid understanding of databases (PostgreSQL or similar).
  • Has strong system design instincts across scalable, reliable backend services.
  • Has a strong proficiency in Python (or another backend language with willingness to learn Python).
  • Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments.
  • Brings strong ownership, product thinking, and a bias toward delivery.
  • Communicates clearly with both technical and non-technical stakeholders.

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💰 Winnings

  • Private health insurance with zero excess, including optical cover and optional dental.
  • Income protection to protect your earnings and give you peace of mind.
  • Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
  • Flexible working and a fully supported home office setup so you can do your best work from home.
  • Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
  • Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
  • Retail discounts and subscription perks across a wide range of brands.
  • Quarterly team socials to connect, celebrate and have fun together.

At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders.

We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

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Skills

Backend Engineering
Technical Leadership
AI Integration
Database Management
System Design
Python
Cloud Fundamentals
CI/CD
Observability
Infrastructure
Production Engineering
Operational Tooling
Scalable Systems
Mentoring
Product Thinking
Communication

Location

United Kingdom

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