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Senior Software Engineer

Kuehne+Nagel · Tallinn

Nouveau
Senior 🇬🇧 English
Go Perl Python Lua OpenAPI Swagger RESTful API Linux RedHat UNIX AIX Agile Scrum Kanban

Description du poste

About the role

Join the engineering team at Kuehne+Nagel to drive the systematic modernization of a global logistics platform. You will design, develop, and support services that enable the company to move fresh fruit, time‑sensitive healthcare products, and many other goods worldwide.

Key responsibilities

  • Design and implement RESTful APIs using the OpenAPI specification for self‑service platform capabilities.
  • Write production services in Go, progressively replacing legacy Perl and C components.
  • Contribute to a domain‑specific language that replaces KornShell workflows, scriptable via Python or Lua.
  • Leverage AI‑assisted tools for code generation, analysis, testing, and documentation within enterprise governance.
  • Maintain and extend existing Perl codebases while migration is in progress.
  • Ensure cloud‑agnostic deployability across major cloud providers and on‑premises infrastructure.
  • Participate in pair programming, design discussions, and code reviews focused on clean, testable code.

Required profile

  • Strong proficiency in Go (preferred) or Perl, with willingness to grow in both languages.
  • Experience designing or consuming REST APIs (OpenAPI/Swagger).
  • Solid understanding of unit and integration testing practices.
  • Comfort working with Linux (RedHat) and exposure to UNIX systems (AIX).
  • Experience modernizing legacy systems incrementally while keeping production running.
  • Pragmatic approach to AI‑assisted development.
  • Experience in agile software development (Scrum, Kanban, or similar).

Required skills

  • Go
  • Perl
  • Python
  • Lua
  • OpenAPI / Swagger
  • RESTful API design
  • Linux (RedHat)
  • UNIX (AIX)
  • AI development tools
  • Agile methodologies (Scrum, Kanban)

What we offer

  • Work on large‑scale enterprise applications supporting global business operations.
  • Collaborative engineering culture focused on quality and continuous improvement.
  • Influence technical decisions, architecture, and best practices across the team.
  • Opportunity to shape an AI‑first engineering journey.

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