About the role

Build and operate high-volume, low-latency data platforms to power GenAI systems and AI agents for Telecom OSS/BSS. Design scalable distributed data pipelines and backend microservices to drive automation and intelligence at scale.

What they look for

Python Java Apache Spark Cassandra OpenSearch Elasticsearch Spring Boot AWS Docker Kubernetes RAG GenAI MLOps NoSQL REST APIs Distributed Systems

Requirements

Mandatory expertise in Python, Java, Apache Spark, and NoSQL databases like Cassandra or Elasticsearch. Experience with cloud platforms, Kubernetes, and GenAI data pipelines including RAG and embeddings is required.

Full description

Join our Team

About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS. We build production-grade systems that drive automation, intelligence, and decisioning at scale. Real systems, Real impact.

What you will do: Build and operate large-scale, high-throughput data systems handling massive datasets Develop complex, scalable solutions using Python and Java Design and optimize distributed data pipelines using Apache Spark Engineer low-latency, high-performance data processing systems (batch+streaming) Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale Develop scalable backend services and REST APIs (Spring Boot-based microservices) Experience to work with AWS (Kiro) / Microsoft Copilot stack Develop MCP-based applications and integrations with enterprise systems Build RAG pipelines across network, service, customer, and operational data Engineer data pipelines for embeddings, vector stores, and retrieval systems Implement end-to-end Data/MLOps pipelines using Docker, Kubernetes, Kubeflow, and CI/CD Ensure system performance, scalability, observability, and reliability Manage and mitigate FOSS (Free & Open Source Software) vulnerabilities using security scanning and patching practices

The skills you bring: Strong Python and Java expertise with experience building production-grade systems is mandatory Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing Proven experience in high-volume, low-latency system design and optimization Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling is mandatory Experience building scalable APIs and microservices (Spring Boot) Hands-on experience with cloud platforms (AWS or GCP) Strong working knowledge of Docker and Kubernetes Experience with vulnerability management and non functional features(alarm , logging , fault management etc) Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines Exposure to developer copilots / AI-assisted coding tools

Good to have: Telecom OSS/BSS domain knowledge (business + data) Experience with Databricks, Snowflake, or similar platforms Understanding of AI observability, explainability, and responsible AI