Salary
≈ $18k – $42k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Jul 31, 2026. Nokia scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Nokia is a Finnish telecommunications equipment company founded in 1865 as a paper mill, which became the world's largest mobile phone maker in the 1990s before selling that business to Microsoft in 2014. It now supplies network infrastructure to operators and enterprises, covering radio access equipment for mobile networks, optical and IP routing for transport networks, fixed broadband access, and a technologies division that licenses its cellular patent portfolio. Headquartered in Espoo and listed in Helsinki and New York, it runs Nokia Bell Labs as its research arm and has been expanding into data centre networking as operator spending has slowed.
Backed by Oak Investment Partners, Mercury Fund
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.
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