Software Developer Trainee
EricssonFinland16 days ago
Full-timeOther
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About This Opportunity
Join Ericsson’s Distributed Cloud team as a Software Developer Trainee and help build the Cloud Container Distribution that powers 5G Core and Cloud RAN. You’ll be contributing to real product features, with a strong focus on AI/LLM agentic workflows integrated into a modern cloud-native stack. You’ll also get hands-on exposure to Kubernetes and cloud networking in a production-grade environment.
What You Will Do
Basic Qualifications
About This Opportunity
Join Ericsson’s Distributed Cloud team as a Software Developer Trainee and help build the Cloud Container Distribution that powers 5G Core and Cloud RAN. You’ll be contributing to real product features, with a strong focus on AI/LLM agentic workflows integrated into a modern cloud-native stack. You’ll also get hands-on exposure to Kubernetes and cloud networking in a production-grade environment.
What You Will Do
- Explore and apply agentic workflows (LLM-powered assistants and automations) to optimize engineering processes and improving customer experience e.g., faster troubleshooting, better onboarding, configuration management and smarter documentation use etc.
- Work with Kubernetes as a platform: help build, configure, and operate services that run in clusters.
- Support networking aspects of cloud platforms (service connectivity, traffic policies, and reliability)
- Collaborate in a cross-functional environment: participate in planning, pair programming, reviews, and demos; write clear documentation.
- Evaluate your solutions for usability, maintainability, security, and impact; and iterate based on feedback.
Basic Qualifications
- Enrolled in a BS/MS program in CS/EE/CE (or related).
- Strong Python skills and solid understanding of data structures and algorithms.
- Experience with Kubernetes or cloud-native observability (Prometheus/Grafana, tracing, log pipelines).
- Familiarity with LLMs/AI concepts: prompt design, function/tool calling, RAG basics, evaluation.
- Working knowledge of Linux and containers; ability to read logs and troubleshoot systems.
- Understanding of networking fundamentals.
- Clear communication, curiosity, and a bias for hands-on experimentation.
- Exposure to agent frameworks (LangChain, LangGraph, CrewAI) or vector databases.
- Experience in fine tuning LLMs or other ML models.
- Experience in Kubernetes administration and life-cycle management.
- Go (Golang) proficiency is a plus.
- Interest in telecom/5G, CNFs, or large-scale distributed systems.
- Contribute to developer infrastructure used in real environments.
- Apply AI agents to tangible cloud and networking problems.
- Mentorship, code reviews, and a learning-friendly environment with room to publish internal results and demos.
Key Skills
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