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Nokia

Senior Software Developer

Reposted 24 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.
The summary above was generated by AI

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.
 

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.
     
Qualifications

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. 
About Us
Advancing connectivity to secure a brighter world.

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. 

Learn more about life at Nokia.


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. 

About the Team

Some of our benefits in India:

  • Flexible and hybrid working arrangements to support work–life balance
  • Health and well-being support – medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups 
  • A minimum of 90 days of Maternity and Paternity Leave based on eligibility
  • Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
  • Career growth & mobility – technical career paths, job rotations, international assignments, and relocation support
  • Continuous learning – technical certifications, mentoring programs, coaching, and digital learning platforms
  • Opportunities to innovate and contribute through Nokia’s research and development environment
  • Recognition programs that celebrate outstanding contributions
  • Workplace support – ergonomic working support and mobile device programs based on eligibility

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