Senior Software Developer

As a Senior Software Developer, you will play a key role in driving innovation and delivering impactful solutions. In this position, you will have a significant impact on our organization's success by leading the architecture and development of scalable, cloud-native applications and microservices, while also supporting the integration of AI/ML models into data pipelines.
 

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. 

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

• 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.
   

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)

  
  

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.
• 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.