Senior Software Developer

Nokia Corp.; Lisboa; Presencial; EUR 85 000 - 120 000; Tempo integral

Resumo da oferta

Nokia Corp. seeks a seasoned Cloud-Native Solution Architect to lead the architecture and development of cutting-edge cloud-native applications in Lisbon.

You will design microservices, containerize with Docker and Kubernetes, and build scalable APIs and data models using Graph and time-series databases. Experience in Kafka/RabbitMQ and AI integration is a plus.

Qualificações

• Bachelor’s degree with 8–12 years in cloud-native architecture and development.
• Strong cloud platforms experience and cloud-native solution design.
• Hands-on Docker and Kubernetes expertise.
• Hands-on experience with Docker, Kubernetes and event streaming (Kafka/RabbitMQ).
• Knowledge of APIs, automation, CI/CD, and secure AI governance.

Responsabilidades

• Lead architecture and development of cloud-native apps.
• Deploy containerized apps with Docker and Kubernetes.
• Design scalable microservices in Python/Go/Java.
• Model networks with Graph and time-series databases.
• Develop data architecture using Neo4j and related pipelines.
• Build robust gRPC/REST APIs for data ingestion and simulation.

Conhecimentos

Cloud-native solution architecture

API design & REST/gRPC

CI/CD pipelines

Event streaming (Kafka/RabbitMQ)

Programming: Python/Go/Java

Git version control

Security/governance practices

Formação académica

Bachelor’s degree

Ferramentas

Docker

Kubernetes

Kafka/RabbitMQ

TensorFlow/PyTorch

Descrição da oferta de emprego

We are seeking a talented and ambitious individual to take on this role. In this position, you will have a significant impact on our organization’s success by leading the architecture and development of cutting-edge cloud-native applications.

Your responsibilities

Deploy Cloud-Native Apps: containerizing and orchestrating applications via Docker and Kubernetes.

Design Microservices: Develop scalable, event-driven backend microservices using Python, Go, or Java.

Model Network Topologies: Implement robust data models (YANG, OpenConfig) and manage complex network structures using Graph and Time-Series databases.

Data Architecture: Manage highly interconnected network data using Graph databases (Neo4j) and time-series telemetry pipelines.

API & Integration: Create robust gRPC/REST APIs to ingest network state data and expose simulation engine capabilities.

Intelligent Automation: Support the integration of AI/ML models into the data pipeline for predictive analytics.

Your skills and experience

You have:

• Bachelor’s degree with 8–12 years of experience in cloud-native solution architecture and development.
• Strong experience in cloud platforms, cloud-native solution architecture
• Hands-on experience containerizing and orchestrating applications via Docker and Kubernetes.
• Strong hands-on experience with Docker, Kubernetes, and event streaming (Kafka/RabbitMQ)
• Strong knowledge of software engineering best practices, including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles related to governance, security, and privacy.

It would be nice if you also had:

• Solid understanding of Layer 0/1 optical networking, DWDM, ROADM architectures, and YANG data modeling.
• Experience integrating data science/ML frameworks (TensorFlow, PyTorch) into production software pipelines.

Job Info

• Job Category Customer Services
• Posting Date 07/24/2026
• Job Schedule Full time
• Job Type Experienced
• Job Identification 37399

At Nokia, we want every candidate to be able to perform their best. If you need any adjustments or support during the recruitment process, please let us know. All requests are treated confidentially.

AI Statement: Nokia embraces the strategic use of Artificial Intelligence (AI) within our recruiting process to enhance the candidate experience and significantly improve our operational efficiencies. By leveraging AI-powered tools, we aim to create a more responsive and equitable journey for all applicants. Concurrently, we advocate for the intelligent, ethical, and safe use of AI by candidates and applicants when preparing and submitting their applications for our roles. This includes ensuring that any AI-generated content is thoroughly reviewed for accuracy, originality, and relevance, and that its use aligns with principles of transparency and integrity. Our goal is to foster a recruitment environment that benefits from technological advancements while upholding fairness, authenticity, and human oversight.