Live opening · Posted 9 hours ago

Senior Software Developer

Nokia · India
Oracle Hybrid
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyNokia
LocationIndia
Work modeHybrid
SkillsPython, Java, Docker, Kubernetes, TensorFlow, PyTorch
SourceOracle
ListedPosted 9 hours ago

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About the role

Description supplied by the original job listing.

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.
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.
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.

Work arrangement
Hybrid

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