Cloud-Native Architect: Microservices & AI Pipelines

Nokia; Lisboa; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

Nokia seeks a talented architect to lead the design and development of cloud-native, scalable applications in Lisbon. You will drive architecture decisions, containerization, and the deployment of microservices using modern backend languages and event streaming systems.

You will model complex network data with graph and time-series databases, build robust APIs, and integrate AI/ML components for predictive analytics. Expect collaboration across teams and cutting-edge tech stacks.

Qualificações

• Bachelor’s degree in a relevant field.
• Experience in cloud-native solution architecture and development.
• Hands-on containerizing and orchestrating with Docker and Kubernetes.
• Strong experience with Docker, Kubernetes and event streaming (Kafka/RabbitMQ).
• Knowledge of APIs, automation, version control, testing, CI/CD and governance, security, and privacy.

Responsabilidades

• Deploy Cloud-Native Apps by containerizing and orchestrating applications with Docker and Kubernetes.
• Design scalable, event-driven backend microservices (Python, Go, or Java).
• Model network topologies using robust data models (YANG, OpenConfig) and graph/time-series databases.
• Manage data architecture with graph databases (Neo4j) and time-series pipelines.
• Create robust gRPC/REST APIs to ingest network state and expose simulation capabilities.
• Support integration of AI/ML models into data pipelines for predictive analytics.

Conhecimentos

Cloud architecture

Docker

Kubernetes

Kafka

RabbitMQ

APIs

CI/CD

Python

Go

Java

Formação académica

Bachelor’s degree

Ferramentas

Neo4j

Descrição da oferta de emprego

Nokia seeks a talented architect to lead the design and development of cloud-native, scalable applications in Lisbon. You will drive architecture decisions, containerization, and the deployment of microservices using modern backend languages and event streaming systems.

You will model complex network data with graph and time-series databases, build robust APIs, and integrate AI/ML components for predictive analytics. Expect collaboration across teams and cutting-edge tech stacks.