# Backend Engineer - Real-Time Esports Data (m/f/x) at GRID eSports GmbH

> Hybrid · Poland · Unspecified · Backend · open. Source: https://alderhq.app/jobs/recruitee%3Agrid%3A2663303 (read 2026-11-09).

## Facts (observed)

- Company: [GRID eSports GmbH](https://alderhq.app/companies/grid-esports-gmbh)
- Location text: Wroclaw, Dolnośląskie, Poland; Wroclaw, Dolnośląskie, Poland
- Where it can be done from (inferred): Hybrid · Poland (evidence: "Location: Wroclaw, Dolnośląskie, Poland; Wroclaw, Dolnośląskie, Poland")
- Posted: 2026-09-01 (69 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://grid.recruitee.com/o/backend-engineer-real-time-esports-data-mfx
- Skills listed (inferred): Kotlin, GraphQL, Kubernetes, Docker

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Are you passionate about building event-driven systems?

Do you have a strong grasp of Kotlin or Go?

Do you enjoy finding solutions for significantly impactful challenges?

If the answers to the above questions are yes, then this role could be ideal for you!

### Requirements

### What you will do

Build greenfield mission-critical services and expand the reliability of existing ones

Help to shape GRID's technological landscape together with experienced colleagues

Participate in architectural discussions, providing feedback to coworkers and ensuring good practices

Work closely together with product stakeholders to communicate progress and considerations effectively

### Your skills will include (must have)

Minimum of 3 years of commercial experience

Deep knowledge of a strongly typed language (preferably Kotlin / Go)

Explicit (nullable) types

Strong, minimal contracts

Helpful abstractions and class hierarchies / compositions (introduced at an appropriate time)

Ambition to build robust, high-quality mission-critical systems, leveraging the power of:

Automated testing

Automated monitoring and alerting

CI/CD infrastructure

Know-how of good API design (preferably REST / GraphQL), paying attention to:

Documentation

Self-documenting naming and structures

Minimal and extendable contracts (while minimizing breaking changes)

Experience with GraphQL/REST APIs, micro-service architecture and container / orchestration systems (preferably Docker / Kubernetes), while bearing in mind:

Complexity trade-offs

Fault-tolerance design

Knowledge of JIRA, Agile and Scrum

Good communication skills, especially when working with remote teams

Good attention to detail

Being able to work CET time-zone

### Nice to have

Production experience with designing and maintaining GraphQL APIs.

Knowledge of eSports and gaming.

The ability to thrive in a fast-paced software startup that has incredible potential

A passion for software engineering while writing clean, well-tested code

Enthusiasm for working in a Lean, fully Agile environment

Comfortable using AI tooling where necessary (ex. open code, github copilot, claude code)

Knowledge of modern AI workflows

### What you can expect from GRID’s Engineering Team

Impactful: With a robust CI/CD process, and a full suite of automated tests our engineers ship daily, allowing you to make impact on the product from day one with peace of mind

Agile & Inclusively: We’ve developed our own kanban-based way of working that is constantly being improved and adapted by the self-organizing product-engineering teams. Opinions and ideas are valued from all

Quality: Achieved by ensuring detailed stories and epics, high test coverage, a thorough code-review process, consciously taking on technical debt and an open culture of sharing opinions

Organized: We strive for considered decisions, creating software that lasts. We document them in decision records, which any engineer in any team can drive

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Agrid%3A2663303 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
