The Data Engineer will develop GenAI solutions for Telecom OSS/BSS platforms, focusing on ML systems, APIs, and scalable services. Responsibilities include end-to-end MLOps pipelines and working with cloud-native ML deployments.
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
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
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
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
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
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
Top Skills
AWS
Aws Bedrock
Ci/Cd
Databricks
Datarobot
Docker
Gcp Vertex Ai
Kubeflow
Kubernetes
Microsoft
Python
Snowflake
Ericsson Chennai, Tamil Nadu, IND Office
Ericsson Chennai Hub Office
Key IT stretch along OMR with strong tech presence. Close to residential areas, eateries and the coast, offering a relaxed lifestyle with good connectivity to central Chennai.
Similar Jobs at Ericsson
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Service Delivery Flow Operation Lead manages Ericsson's Core Network deployment solutions, oversees project health, promotes teamwork, and ensures compliance with SLAs.
Top Skills:
JIRAPower BI
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
As a Senior Solution Integrator, you will lead integration and deployment of Ericsson Charging solutions, ensuring high-quality implementations and efficient collaboration with teams to meet customer requirements.
Top Skills:
AWSCassandraCbevCcsCephContainersDiameterEricsson ChargingHttp/2JSONKafkaKubernetesLinuxOcsOpensearchOpenshiftOracle TimestenPythonRestSdiShell Scripting
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
As a Resilience Consultant at Ericsson, you will lead consulting engagements for network resilience, deliver audits, and provide strategic guidance to telecommunications clients.
Top Skills:
5GImsPrivate Cloud
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
