DICE

Backend Engineer

In short

A Senior Backend Engineer role at DICE, a live entertainment ticketing platform, building high-load backend systems in Elixir/OTP/Phoenix that handle millions of ticket-sale transactions via GraphQL and REST APIs. The role involves architecture decisions, mentoring engineers, and solving scalability issues in ticketing and event management systems, with code on GitHub, Drone CI pipelines, and Kubernetes deployments. Requires extensive production Elixir experience, distributed systems design at scale, deep database and Linux internals knowledge, and must work within UK timezone +/- 2 hours. Fully remote, full-time, senior level with at least 3 years of experience.

# Senior Backend Engineer - UK Timezone (within +/- 2 hours)
Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often – and that's where you come in.
We're looking for a Senior Backend Engineer to join our Engineering team and drive exceptional product development for fans, venues and artists. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of.
DICE is scaling fast, and we've got ambitious goals for our platforms. As a Senior Backend Engineer, you will play a pivotal role in architectural decisions, helping define not just what we build, but how it scales. Our backend apps are written mostly in Elixir. They feed information to our award-winning apps via GraphQL and REST APIs, and handle millions of ticket-sale transactions. We host our code on GitHub, manage pipelines with Drone CI, and deploy to Kubernetes clusters. We are always open to improving our workflow and codebase, and we'll look to you to champion those improvements for the benefit of the team and product.
Responsibilities
•Architecting and developing complex, high-load backend systems written in Elixir
•Leading technical discussions with Product Managers, Engineers, and Designers to turn vague requirements into robust technical specifications
•Mentoring mid-level and junior engineers, conducting code reviews, and fostering a culture of technical excellence
•Proactively identifying bottlenecks in our ticketing and event management systems and designing scalable solutions to handle traffic spikes
•Championing best practices in testing, documentation, and maintainability across the engineering organisation
Requirements
•A technical leader who enjoys sharing knowledge and uplifting the team
•Passionate, humble and talented
•A fan of music and culture
•Actively responsible and ownership-driven; you don't just write code, you own the outcome in production
•Pragmatic about technical debt versus feature delivery
•Eager to build apps that make a positive impact
•A great communicator
•Extensive production experience with Elixir, OTP, and Phoenix (or deep expertise in another functional language with a willingness to master Elixir quickly)
•A strong track record of designing and developing distributed systems at scale
•Experience integrating complex third-party services and gracefully handling failure scenarios
•Deep understanding of database internals (PostgreSQL/Redis) and query performance optimisation
•Deep understanding of how OSes and Linux work internally
•Experience mentoring other engineers and influencing technical decisions within a team
About DICE
DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters.
Application process
•Talent Interview - 1h: An intro to DICE, our culture and the role, as well as a conversation about your background and experience
•Technical Interview - 2h: A chance to dig into your technical experience through a system design discussion and a short coding exercise
•Manager Interview - 1.5h: A conversation about how you work, communicate and make decisions, including trade-offs, ownership, impact, reliability, scale and system design
We may use AI-assisted tools to help analyse skills and experience. These systems function solely as decision-support tools; they do not autonomously reject candidates or make final hiring decisions. Every hiring decision is made by humans.

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