Lab Engineer, Automation

Nokia is a global leader in connectivity for the AI era, with expertise across fixed, mobile and transport networks, powered by Nokia Bell Labs innovation.

• Degree in Engineering, Computer Science, Telecommunications or equivalent experience
• Very good English communication skills and ability to work in international teams
• Reliability, analytical mindset, problem-solving skills, ownership, and teamwork
• Strong Python skills and understanding of object-oriented design principles
• Experience in automation, scripting, backend development, or infrastructure tooling
• Familiarity with Linux/UNIX and Windows environments (configuration, troubleshooting, scripting)
• Basic knowledge of Docker, REST APIs, integrations, and networking (TCP/IP)
• Interest in AI technologies (RAG, LLMs, agents) and willingness to learn automation design

Nice to have:

• Experience or familiarity with R&D environments (e.g., laboratories, research setups, engineering test environments)
• Experience in Automation, Software, DevOps, or Infrastructure Engineering roles
• Familiarity with CI/CD, monitoring, logging, or observability tools
• Experience with Docker and basic container orchestration concepts
• Experience with internal engineering tools, self-service portals, or developer platforms
• Knowledge of vector databases, semantic search, or LLM APIs / model-serving platforms
• Interest in building AI assistants and agent-based workflows for technical users
• Understanding of security and access control principles for automation platforms

• Design, implement, and maintain automation solutions and internal tools for R&D laboratories
• Develop AI-enabled automation and infrastructure orchestration capabilities
• Build and enhance automation scripts, backend services, and web-based user interfaces
• Integrate systems with internal platforms using REST APIs and ensure codebase maintenance
• Support AI initiatives (e.g., RAG, agent-based workflows, LLM integrations)
• Analyze requirements, deliver backend/frontend features, and troubleshoot automation issues
• Test, validate, and continuously improve tools and solutions, including documentation
• Collaborate with international teams and gradually take ownership of selected areas