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Software Engineer, Go

Softwaremind
Remote
Buenos Aires, ARRemote· about 9 hours ago

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[8XS] Software Engineer – Go (Mid Level)

Location: Buenos Aires, Buenos Aires, ar, Remote

Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Job Description

Our client is a global company in the video-game industry whose tools are used by game studios worldwide. You’ll be joining the client’s engineering team to build a new LiveOps plugin platform in Go, Kafka and Google Cloud, letting internal teams extend LiveOps through a strict plugin interface. You will work in a small Scrum team alongside the client’s technical lead.

 

Project length: 6 months, with possible extension
Time zone: UTC+4 (European working hours). Overlap is required. 

Qualifications

 Expectations - the experience you need

  • 90% English written and oral (at least B2 level) with excellent communication skills.
  • Experience in backend engineering: 3+ years, including 2+ years with Go
  • Hands-on experience with Kafka or a similar messaging platform
  • Solid knowledge of REST and/or gRPC APIs
  • Experience building CI/CD pipelines and working with Docker
  • Working knowledge of Google Cloud or another public cloud
  • Proficiency with PostgreSQL and Redis
  • Must overlap European / UTC+4 working hours

 

 

What you will do

  • Build Go services for plugin registration, configuration and runtime
  • Implement the internal plugin registry and review flow
  • Develop Kafka producers and consumers for the central event hub
  • Build CI/CD pipelines from development to production
  • Add metrics, logs and dashboards, and support production issues
  • Create templates and tooling that help teams build plugins
  • Write unit and integration tests with QA automation

Additional Information

Nice to have:

  • Kubernetes (GKE) and Terraform
  • Datadog or similar observability tooling
  • Internal platforms, SDKs or developer tooling
  • Gaming or LiveOps background
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