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Open nowPosted 7 days ago

Lead Engineer

Buttermilk5 open roles

Where
London, United Kingdom
Work mode
Hybrid
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Your applicationOpen nowLead EngineerButtermilk · London, United Kingdom
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Buttermilk postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 7 days ago

Buttermilk median: 11 days open

The posting

Lead Engineer

London

Permanent

Hybrid Working - 3 days in the office, 2 days remote

We run the campaigns ourselves, so we know exactly what the software has to do.

Buttermilk is a London creator-marketing agency. Pantry is the platform our team, our creators and our clients use to run campaigns end to end. It is live with our internal team today. The demand is already here: every campaign we run is waiting on this platform.

Why this is different

Search and reporting are table stakes. The hard part is the operational core: shortlists clients actually approve, outreach that lands, creators paid on time, and AI that understands the Creator.

Most creator platforms are built by people who have never run a campaign. Ours is built next to the team that runs them every day.

What you'd own

The platform that takes Pantry from alpha to what the whole agency runs on. If you want to point at a platform in production and say you built it, this is that seat.

You code every day, set the architecture and work as the product partner to Matt, our Product Lead.

  • Build. Ship vertical slices that real users can try, quickly but built to last. Direct AI coding agents and review their output critically.
  • Decide. Own the architecture and scaling calls, and keep one source of truth for how the system fits together.
  • Run it. Own observability and alerting, and step in when production misbehaves.
  • Partner on product. Break epics into stories, flag dependencies early, challenge the roadmap and demo to the business.
  • Plan honestly. Say what one engineer can deliver by a given date, and say early when that is not enough.
  • Grow the team. Decide when we need more engineers, then hire and lead them.

Along the way: the production basics, creator and campaign intelligence with our data science lead, and integrations for CRM, payments, outreach and invoicing, on a path to SOC 2.

The team you'd join

  • Product Lead
  • Full Stack Engineer
  • Data Science Lead
  • The campaign team: our daily users, at the next desk.

How we work

Decisions are written down and shipped, not held in meetings. We build agent-first and test-driven, in small pull requests, with everything in code, infrastructure included.

What we're looking for

We are hiring at lead level, to build and to stay. There is no senior engineer above you.

  • You have built and scaled a production product to 10,000+ users, and made its architecture calls
  • You ship in vertical slices, fast but without building things that fall over a month later
  • You use AI coding tools every day, can refactor a largely agent-written codebase, and read what the agents produce
  • You have shipped LLM features to production, not just prototypes: structured output, validation, batch versus live calls, cost per item and evaluation
  • You have built for external users: authentication, data isolation between clients, payments and GDPR
  • You build rapport quickly with non-engineers and explain trade-offs plainly
  • You like being in the office with the people who use what you build

Strong plus: multimodal AI (video, image, audio); Python and FastAPI; Google Cloud, Terraform and CI/CD; ingestion from third-party APIs; email deliverability; SOC 2; creator-economy or agency experience.

Transferable experience counts. If your architecture and scaling experience carries over, the exact stack matters less.

You probably won't enjoy this if

  • You want detailed specs before you start
  • You would rather design systems than build and run them
  • You want a specialist for every layer
  • You trust AI-written code without reading it

Stack

Python services (FastAPI, SQLModel) and a Next.js/TypeScript app on Google Cloud: Cloud Run, Cloud SQL Postgres, BigQuery and Pub/Sub, all in Terraform and deployed from GitHub Actions. It's early enough that you will shape it.

What We Offer

  • Pension, matching contributions
  • Private Medical Insurance
  • Juno Wellbeing Credits
  • Hybrid Working (London)
  • £150 Home Office Setup Budget
  • Night Key Membership
  • Birthday Leave
  • Learning & Development Budget
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