Senior Engineer

Buttermilk

. Take Pantry from alpha to the platform used across the agency .

Posted 11/11/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and scaling production products for external users, with a strong focus on architecture, observability, and integration. Proficient in utilizing AI coding tools and leading engineering teams to deliver high-quality features efficiently.

Highest-signal resume keywords

Lead-Level Engineering ExperienceProduction Product ScalingAI Coding Tools ProficiencyArchitecture and Scaling DecisionsIntegration Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonFastAPISQLModelNext.jsTypeScriptGoogle CloudTerraformCI/CDBigQueryPub/Sub

Soft Skills

Building RapportCommunication

Tools & Technologies

Cloud RunCloud SQL PostgresGitHub Actions

Certifications & Qualifications

SOC 2

Industry Keywords

Creator EconomyAgency ExperienceGDPREmail Deliverability

Tech Stack

Tools & technologies

BigQueryCloudJavaScriptNext.jsPostgresPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Take Pantry from alpha to the platform used across the agency
Code daily and set the platform architecture
Partner with the Product Lead on product decisions
Build and ship durable vertical slices for real users
Direct AI coding agents and critically review their output
Own architecture and scaling decisions and maintain a single source of truth for system design
Own observability and alerting and respond to production incidents
Break epics into stories, identify dependencies, challenge the roadmap, and demo to the business
Estimate deliverables honestly and communicate when timelines are insufficient
Determine when additional engineers are needed, then hire and lead them
Develop creator and campaign intelligence with the data science lead
Build integrations for CRM, payments, outreach, and invoicing
Help progress the platform toward SOC 2

Requirements

What you’ll need

Lead-level engineering role; no senior engineer above this position
Built and scaled a production product to 10,000+ users and made its architecture calls
Ships vertical slices quickly without building systems that fail later
Uses AI coding tools every day; can refactor largely agent-written code and critically review agent output
Shipped LLM features to production, including structured output, validation, batch versus live calls, cost per item, and evaluation
Built for external users, including authentication, client data isolation, payments, and GDPR
Builds rapport with non-engineers and explains trade-offs plainly
Enjoys working in the office with product users
Strong plus: multimodal AI (video, image, audio); Python and FastAPI; Google Cloud, Terraform and CI/CD; third-party API ingestion; email deliverability; SOC 2; creator-economy or agency experience
Exact technology stack is less important if architecture and scaling experience transfers
Technical stack: Python services using FastAPI and SQLModel; Next.js/TypeScript; Google Cloud; Cloud Run; Cloud SQL Postgres; BigQuery; Pub/Sub; Terraform; GitHub Actions

Benefits

Comp & perks

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