
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Market Average: Software Developer"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,380–€7,700). The listed pay band (€298–€383) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 7 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Developer | €3,380/per month | €4,089/per month | €7,700/per month |
| Pay in our data — not quoted in ad (Intern) | €298/per month | €341/per month | €383/per month |
Join Ericsson’s Distributed Cloud team as a Software Developer Intern 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. The internship can be part time and in length 3-6 months, and there is a possibility to combine your thesis work to the internship. 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. The skills you bring: * 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. It is an advantage if you have: * 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.
Job Details
Responsibilities
- Explore and apply LLM-powered agentic workflows to optimize engineering processes
- Build, configure, and operate services running in Kubernetes clusters
- Support cloud platform networking, service connectivity, and reliability
- Collaborate via pair programming, reviews, and documentation in a cross-functional team
- Evaluate and iterate solutions based on usability, maintainability, and security
Requirements
- Enrolled in a BS/MS program in CS/EE/CE or related field
- Strong Python skills and understanding of data structures and algorithms
- Experience with Kubernetes or cloud-native observability (Prometheus/Grafana)
- Familiarity with LLM/AI concepts: prompt design, function calling, RAG basics
- Working knowledge of Linux and containers
- Understanding of networking fundamentals
- Clear communication and curiosity
Skills & Technologies

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