Recently postedFull timeTechnology

Senior Software Developer

NokiaBengaluru🇮🇳India

Why this role stands out

This Senior Software Developer role at Nokia offers a fantastic opportunity to lead the architecture and development of cutting-edge, cloud-native applications and microservices, with exciting exposure to AI/ML integration. You'll thrive here if you're a skilled developer eager to make a significant impact within a globally recognized technology leader, enjoying the flexibility of a hybrid work environment. Apply today to shape the future of network solutions and advance your career!

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeHybrid

LocationBengaluru, India

DockerMicroservicesNeo4jData PipelineJavaKafkaPyTorchPythonRabbitMQTensorFlowgRPCRESTKubernetesCI/CD

Job description

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.

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.