Senior Software Engineer

The team you'll be part of

We are seeking an experienced Software Engineer with deep expertise in building and deploying AI and data-driven applications at scale. The ideal candidate brings 10+ years of hands-on experience architecting, developing, and maintaining enterprise-level data and AI systems. You will play a key role in shaping our technical direction, mentoring team members, and delivering robust AI solutions that drive business value.

 

Responsibilities

• Architect and implement scalable AI systems and data processing pipelines, including the transformation of research prototypes into production-ready solutions.
• Lead technical decisions for cloud-native infrastructure, data and AI/ML workloads, ensuring system reliability, performance, and cost optimization.
• Design and maintain high-performance APIs, services, and data workflows that power AI-driven features.
• Implement comprehensive monitoring, logging, and alerting systems for both infrastructure, data pipeline and ML models.
• Establish and enforce best practices for infrastructure-as-code, security, compliance, and disaster recovery.
• Drive architectural improvements and modernization initiatives across the technology stack.
• Provide technical leadership through code reviews, mentorship, and collaboration with cross-functional teams.
• Troubleshoot complex production issues and implement robust solutions across the entire stack.

Required Qualifications

• 10+ years of professional software engineering experience, with proven success in building large-scale data and AI/ML systems.
• Master in Computer Science, Engineering, or related field (Ph. D. preferred).
• Expert-level programming skills in languages such as Python, C++, Java and JavaScript. 
• Extensive experience with Azure cloud platform and their services, including infrastructure-as-code and DevOps, DataOps, MLOps and LLMOps practices.
• Strong background in distributed systems, microservices, and container orchestration (Kubernetes).
• Demonstrated expertise in data architecture, including both SQL and NoSQL databases, data processing, and streaming systems.
• Proficiency in infrastructure management, including networking, security, monitoring and Linux administration.
• Strong leadership abilities with experience in mentoring teams and driving technical initiatives.

Preferred Qualifications

• Ph.D. degree in Computer Science or related field, with focus on Machine Learning/AI.
• Track record of building and maintaining ML platforms, including automated pipelines and monitoring systems.
• Significant contributions to open-source projects or technical communities.

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s 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.

Join us and be part of a company where you will feel included and empowered to succeed.