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Nokia

Senior Software Development Engineer

Reposted Yesterday
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Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Develop scalable Python software and integrate AI/ML solutions, including RAG and intelligent automation. Collaborate with data engineering and DevOps teams on data processing, deployment, and CI/CD. Conduct code reviews, troubleshoot complex issues, document solutions, train stakeholders, and support Agile continuous improvement while integrating AI capabilities with Jira and Confluence.
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As a  Software Development Engineer, you will play a crucial role in our team's success. Your expertise in Python development and AI/ML integration will be instrumental in creating innovative solutions. You will collaborate closely with data engineers and DevOps teams to ensure seamless deployment and efficient data processing. Your responsibilities will also include code reviews, troubleshooting, and contributing to engineering best practices, ensuring the delivery of high-quality software.

Responsibilities
  • Design and develop scalable, high-performance Python-based software solutions.
  • Implement AI/ML solutions, including RAG architectures and intelligent automation.
  • Collaborate with data engineers on large-scale data processing and analysis.
  • Partner with DevOps teams for reliable application deployment and CI/CD
  • Integrate AI capabilities with engineering and collaboration platforms (e.g., Jira, Confluence).
  • Conduct code reviews and contribute to engineering best practices.
  • Troubleshoot and resolve complex technical issues.
  • Create and maintain technical documentation and user guides.
  • Support stakeholder enablement through demonstrations and training.
  • Participate in Agile development and continuous improvement initiatives.
Qualifications
  • Bachelor's or master's degree in computer science, Engineering, or a related field
  • 5+ years of software development experience, with strong Python expertise.
  • Proven experience in AI/ML development and integration.
  • Knowledge of modern data lake/warehouse technologies and DevOps practices.
  • Strong problem-solving, communication, and collaboration skills.



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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