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evvnt

Product Engineer

Posted 2 days ago
$80000 - $120K per year
2-5 years experience
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AI Summary

The role involves managing the engineering support queue by triaging and resolving issues while also developing new features across the Rails backend and Bootstrap frontend. You will collaborate with the product and support teams to maintain platform health, write tests, and contribute to infrastructure improvements.

Evvnt is an event marketing and ticketing platform. Organisers list events once and we syndicate them to hundreds of partner sites by location and category, run targeted email promotion, and sell tickets (including reserved seating) with Stripe-backed checkout. Our public event directory lists hundreds of thousands of events, and partners embed our event discovery plugins on their own sites.

We are hiring a mid-level developer to own day-to-day support and improvement of the platform. Roughly half the role is keeping the product healthy: triaging bugs, fixing them properly, and handling the questions our support team can't answer. The other half is shipping features alongside the rest of the team

You'll report to the CTO and work closely with product and support.


What you'll do

  • Own the support queue for engineering: triage escalated tickets, reproduce issues, fix root causes and close the loop with support and the customer.
  • Ship features across the Rails backend and Bootstrap frontend, from ticketing and checkout to organiser-facing admin screens.
  • Build and extend integrations with partners including Stripe (payments), Sendgrid(emails), seats.io (seating plans) and our partner-facing JS plugin.
  • Write tests for what you ship and improve coverage around the areas you touch.
  • Review pull requests, including AI-assisted PRs, and give clear, constructive feedback.
  • Help keep the platform fast and reliable: investigate slow queries, background job failures and production alerts.
  • Contribute to our infrastructure work.
  • Document what you learn so the next person (or agent) doesn't have to rediscover it.

Our stack

  • Backend: Ruby on Rails, PostgreSQL (RDS)
  • Frontend: Rails views, Tailwind, JavaScript; an embeddable JS discovery plugin
  • Payments: Stripe
  • Seating: seats.io
  • Infrastructure AWS: ECS, RDS, ALB; CloudFormation and Terraform
  • CI/CD: GitHub, Jenkins
  • Tooling: AI coding agents used across the team for drafting PRs and investigation

What we're looking for

  • 3+ years of professional software development, with at least 2 years building and maintaining Ruby on Rails applications in production.
  • Solid SQL and PostgreSQL skills: you can read a query plan, add the right index and spot an N+1.
  • Comfortable across the stack: server-rendered views, JavaScript, HTML/CSS and a CSS framework such as Bootstrap.
  • Experience supporting a live product: debugging from logs and error reports, reproducing customer issues and shipping fixes without breaking adjacent features.
  • Testing as a habit: RSpec for unit and request specs, Playwright (or similar) for end-to-end, and an instinct for which tests are worth writing.
  • Git and pull-request workflows, with clear commit messages and reviews.
  • Good written communication: you can explain a bug, a fix or a trade-off to a non-engineer.
  • Pragmatic judgement about when to patch, when to refactor and when to ask.

Nice to have

  • Stripe or another payment provider.
  • Reserved-seating or ticketing systems; seats.io specifically is a bonus.
  • AWS and infrastructure-as-code, ideally Terraform.
  • Background job systems (Sidekiq or similar) and performance work at scale.
  • Building embeddable JavaScript widgets or working on SEO for large content sites.
  • Using AI coding assistants effectively, and reviewing their output critically.
  • Experience in a small team where you've worn several hats.

How we work

We're a small engineering team, so you'll see work through from ticket to production rather than owning one narrow slice. Work is tracked in Shortcut; most features ship as small PRs behind review, with a per-PR test environment to check against before merge.

We use AI coding agents, including for drafting pull requests, and we expect you to use them too. The job is to direct and review that work well, not to type faster: you own what merges, whoever or whatever wrote the first draft.


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