Backend Engineer

neowire GmbH; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

VSOP options

Low-latency production focus

Offsites and team culture events

Job summary

Flikk is seeking an experienced Go backend engineer to own the services behind AI-generated gaming jobs. You will deploy on Google Cloud with Kubernetes, manage queues and retries, and optimize latency and cost for scalable generation workflows.

You will work closely with frontend teams to ensure near-instant user experience while handling slow or costly AI models, and apply Claude Code or other AI tooling where it adds real value.

Qualifications

• Proven Go backend development experience.
• Experience deploying and managing services on Google Cloud and Kubernetes.
• Familiarity with latency and cost challenges in production.

Responsibilities

• Own the Go services behind generation: queueing, orchestration, retries and delivery.
• Run on GKE; deploy, monitor costs, and own operational duties.
• Design for slow, expensive, and sometimes incorrect models, and address latency.
• Collaborate with frontend on the intersection of pending jobs and instant responses.
• Apply AI tooling effectively in real work, beyond demos.

Skills

Go backend

Kubernetes

Google Cloud

GKE

AI tooling (Claude Code)

Performance & cost awareness

System design opinions

Tools

Go

Kubernetes

Google Cloud

Claude Code

Job description

Flikk is an AI gaming app: AI-generated mobile games with AI features that turn users into co-creators of the games. Every one of them is a generation job with a cost, a queue, and a person waiting at the end of it.

You would own the services that orchestrate that: Go on Google Cloud and Kubernetes, scaling against demand that is spiky by nature. The problems worth solving here are latency, cost per generation, and what to do when a model is slow or simply wrong.

• Build and own the Go services behind generation: queueing, orchestration, retries, and delivery.
• Run it on GKE. You deploy it, you are on the hook for it, and you know what it costs.
• Treat cost per generation as a first-class metric, not something finance raises three months later.
• Design for models that are slow, expensive, and occasionally wrong, because they are all three.
• Use AI tooling properly in your own work (Claude Code or whatever you are fastest in) and hold a real view on where it helps and where it does not.
• Work directly with the frontend on the seam between a pending job and something that feels instant.

• Strong Go, and you know why the runtime is doing what it is doing.
• You have run production services on Google Cloud and Kubernetes, including the nights they broke.
• Fluent with AI coding tools (Claude Code or equivalent) on real work rather than demos.
• Latency and cost are things you measure, not things you feel.
• You have opinions about system design and can be talked out of them.

• Attractive VSOP options. If you create the growth, you should share in it.
• Short path from decision to production. No committee between you and the release.
• A profitable company, with a leadership team that has built and sold a similar product before.
• EGYM Wellpass: gyms, pools, and studios across Germany.
• On- and offsites, so team culture and fun don't fall by the wayside.