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Owen Thomas | B Corp™

Staff Backend Engineer - Python, FastAPI | Architecture, Distributed Systems & AI | AI FinTech, Series C | London Hybrid or Remote | Up to £165k + Equity | Work Abroad 90 Days/Year

United Kingdom
£165k/yr
Posted about 12 hours ago
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Staff Backend Engineer - Python, FastAPI | Architecture, Distributed Systems & AI | AI FinTech, Series C | London Hybrid or Remote | Up to £165k + Equity | Work Abroad 90 Days/Year

The Company

We're working with a highly successful, fast-scaling AI b2b FinTech transforming how data and workflows operate across global financial markets.

Following significant growth and Series C funding, they're now heavily investing in new products and international expansion.

The Role

This is a high-impact Staff Engineer position on the IC track, taking ownership of technical strategy and architecture across a complex, rapidly scaling engineering organisation.

Rather than owning a single product or feature set, you'll operate across multiple engineering teams, helping define the architecture and technical direction that underpins the company's next phase of growth.

You'll remain hands-on when it matters, but your impact will extend far beyond your own code - setting engineering standards, solving complex architectural problems and aligning teams around a clear technical vision.

You'll be working across areas including:

  • Designing and evolving large-scale backend and distributed systems
  • Defining technical strategy across Platform, AI, Retrieval and shared engineering services
  • Designing scalable APIs and shared platform capabilities
  • Leading complex, cross-team technical initiatives from design through to production
  • Improving reliability, scalability, observability and developer experience
  • Working closely with AI and Retrieval teams across search, RAG and data-intensive systems
  • Reducing architectural complexity and establishing common engineering patterns
  • Contributing hands-on to critical technical work while raising standards through design reviews and mentoring
  • Using AI-assisted engineering to improve productivity and accelerate delivery

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.

What We're Looking For

  • Strong experience designing and building large-scale backend systems and distributed architectures
  • Excellent systems design skills, with evidence of making significant architectural decisions
  • Experience leading technically complex initiatives across multiple engineering teams
  • Strong backend programming experience with Python or another modern backend language
  • Strong experience with AWS, Kubernetes, APIs and modern cloud infrastructure
  • Comfortable influencing engineering strategy without direct authority
  • Able to move between high-level technical strategy and hands-on engineering
  • Strong communication skills with experience mentoring engineers and raising engineering standards
  • Comfortable making pragmatic technical trade-offs in complex, scaling environments

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Experience with AI-powered systems, RAG, search platforms, retrieval systems or vector databases would be particularly valuable.

Experience as a Founding Engineer / CTO, building systems from scratch in an early-stage environment, or modernising complex legacy systems would also be highly relevant.

What's On Offer

  • Up to £165,000 base salary + equity
  • Pension contribution matched up to 7%
  • Private medical insurance
  • Flexible hybrid or remote working
  • Work abroad for up to 3 months per year
  • 25 days' holiday + public holidays
  • Professional learning & development budget
  • 1-month paid sabbatical after 5 years
  • Significant influence over the architecture and technical direction of a rapidly scaling engineering organisation

Staff Backend Engineer - Python, FastAPI | Architecture, Distributed Systems & AI | AI FinTech, Series C | London Hybrid or Remote | Up to £165k + Equity | Work Abroad 90 Days/Year

This is an opportunity for a genuine Staff-level Backend / Platform Engineer who enjoys solving difficult systems problems, influencing architecture across multiple teams and remaining close enough to the code to lead by example.

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Skills

Python
FastAPI
Distributed Systems
System Design
AWS
Kubernetes
API Design
RAG
Vector Databases
Technical Strategy
Architecture
Mentoring
Cloud Infrastructure
Backend Engineering
Search Platforms
Retrieval Systems

Location

United Kingdom

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