Staff Backend Engineer — Scalable Data & Events

Voyado

Stockholms kommun

Hybrid

SEK 1,000,000 - 1,600,000

Full time

4 days ago
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Benefits offered by this job

30 days vacation
Bike lease (incl. e‑bikes)
Breakfast Fridays
In-house gym for Voyadoers
Gadget‑and‑phone package
Wellness allowance 5000 SEK/year
Parental leave top‑up
Wellness hour weekly
Office-first but flexible hybrid

Job summary

Voyado is seeking a Staff Software Engineer for the Data & Integrations area, focusing on the Points team. You’ll work hands-on with backend development and distributed systems while guiding architectural decisions to scale our platform.

You’ll mentor other engineers, drive technical initiatives across teams, and help shape a move toward event-driven and AI-assisted engineering as we grow. We value balance and collaboration, with a flexible hybrid work model and opportunities to impact loyalty

Qualifications

  • Experience with backend development in C#, .NET, Java, Kotlin, Go.
  • Experience with distributed systems and cloud-native services.
  • Familiar with REST APIs and message-based systems (Kafka, RabbitMQ, Azure Service Bus).
  • Strong focus on observability, automated testing and secure engineering practices.

Responsibilities

  • Drive architectural decisions to scale and evolve services.
  • Mentor engineers and lead cross-team initiatives.
  • Collaborate across teams to improve platform and processes.
  • Hands-on backend development with distributed systems.

Skills

Backend development
Distributed systems
API design
Observability
Mentoring
Technical leadership
AI-assisted coding

Tools

C#/.NET
Java
Kotlin
Go
.NET
Kafka
RabbitMQ
Azure Service Bus
SQL

Job description

Voyado is seeking a Staff Software Engineer for the Data & Integrations area, focusing on the Points team. You’ll work hands-on with backend development and distributed systems while guiding architectural decisions to scale our platform.

You’ll mentor other engineers, drive technical initiatives across teams, and help shape a move toward event-driven and AI-assisted engineering as we grow. We value balance and collaboration, with a flexible hybrid work model and opportunities to impact loyalty

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