Go Software Engineer: Satellite Payload Downlink

Doist

Espoo

Hybrid

EUR 56,000 - 78,000

Full time

10 days ago

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Job summary

ICEYE is hiring a Software Engineer in Espoo, Finland, hybrid role. You will work on the payload downlink pipeline, decoding and routing satellite data, with a focus on reliability at scale. You’ll write Go code, collaborate with ground and data teams, and contribute to robust, scalable systems across a global constellation.

Join a team that embraces AI-assisted tooling to speed delivery while maintaining high standards, with an emphasis on distributed architectures and operational reliability.

Qualifications

  • Proven software engineering experience in backend or distributed systems.
  • Proficiency in Go or a comparable statically typed language.
  • Hands-on experience with containerized environments such as Docker.
  • Experience building or operating production systems with reliability and correctness.
  • Working knowledge of PostgreSQL and relational databases.
  • Strong debugging and problem-solving skills.
  • Experience using AI/LLM tools to assist software development.

Responsibilities

  • Build and maintain components of the payload downlink pipeline (decoding, error correction, decryption, routing).
  • Design for reliability and handle edge cases in a latency-sensitive system.
  • Debug and resolve production issues with the team.
  • Write clean, tested Go code and participate in code reviews.
  • Collaborate with ground station, downlink, and data teams to ensure end-to-end data flow.

Skills

Go
Docker
PostgreSQL
Debugging
AI tools
English communication

Tools

Kubernetes
Terraform
CI/CD pipelines
GitOps

Job description

ICEYE is hiring a Software Engineer in Espoo, Finland, hybrid role. You will work on the payload downlink pipeline, decoding and routing satellite data, with a focus on reliability at scale. You’ll write Go code, collaborate with ground and data teams, and contribute to robust, scalable systems across a global constellation.

Join a team that embraces AI-assisted tooling to speed delivery while maintaining high standards, with an emphasis on distributed architectures and operational reliability.

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