Senior Backend Engineer

TL;DR

Senior Backend Engineer: Building and maintaining domain modules in a DDD-style Node.js/TypeScript monorepo with an accent on API design, database schemas, and migrations. Focus on integrating with TikTok, Instagram, and YouTube APIs, and deploying services to cloud infrastructure.

Location: Remote (UK)

Company

hirify.global is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse.

What you will do

• Build and maintain domain modules in a DDD-style Node.js/TypeScript monorepo.
• Take vague product direction, sharpen it into a real spec, and ship a v1 — then iterate.
• Design APIs, write docs, and manage database schemas and migrations.
• Build features that span our main transactional backend and a separate analytics backend running heavy queries over creator data.
• Write services that integrate with TikTok, Instagram, and YouTube APIs.
• Work with queue workers for background job processing (media analysis, outreach, data syncing).

Requirements

• 6+ years backend development with Node.js and TypeScript in production.
• Product mindset — you’ve shipped features where the brief was a paragraph, not a ticket.
• Strong relational database experience — schema design, query optimisation, safe migrations at scale.
• Comfortable deploying and operating your own services on a major cloud provider — containers, CI/CD pipelines, the basics of running things in production.
• Queue-based background job processing patterns.
• REST API design and documentation.

Nice to have

• Shipped AI features to production — you know what evals are for, why prompts regress, and why “it worked in testing” isn’t enough.
• Columnar / analytics databases for heavy aggregate queries.
• In-memory caching and session stores.
• DDD or domain-driven design — explicit module boundaries, repositories, services, event-driven patterns.

Culture & Benefits

• Small, high-output engineering team (~10 people) led by the current engineering lead.
• Async standups, weekly refinement, ship directly to production.
• Heavy AI-usage environment — AI tooling is woven into how we build, review, and ship.