Nomura-posted 3 months ago
Mumbai, IN
5,001-10,000 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. Nomura Services India, (Powai) supports Nomura's businesses around the world. Powai's world class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support have played a key role in facilitating Nomura's global operations and are an integral part of Nomura's global expansion plans. The Powai operation is a critical part of the platform to support the growth of Nomura's global business.

  • Develop and maintain backend applications primarily using Python.
  • Implement Java applications in enterprise environments.
  • Design and develop microservices architecture.
  • Create and manage APIs (REST, GraphQL).
  • Optimize database design and performance (SQL and NoSQL).
  • Utilize cloud platforms, specifically AWS, for application deployment.
  • Apply DevOps practices and tools in development processes.
  • Manage container orchestration using Docker and Kubernetes.
  • Implement and maintain CI/CD pipelines.
  • Strong Python development experience with proficiency in building production applications.
  • Java development experience in enterprise environments.
  • Hands-on experience with microservices architecture.
  • Practical experience in API design and development (REST, GraphQL).
  • Working knowledge of database design and optimization (SQL and NoSQL).
  • Experience with cloud platforms (AWS).
  • Working knowledge of DevOps practices and tools.
  • Practical experience with container orchestration (Docker, Kubernetes).
  • Experience implementing and maintaining CI/CD pipelines.
  • Exposure to AI/ML frameworks (PyTorch, TensorFlow).
  • Basic knowledge of MLOps platforms and infrastructure.
  • Understanding of ML model serving concepts.
  • Familiarity with distributed computing principles.
  • Experience with real-time data processing.
  • Understanding of performance optimization and scaling techniques.
  • AWS certification or working towards certification.
  • Basic experience with Infrastructure as Code (Terraform, CloudFormation).
  • Understanding of monitoring and logging systems.
  • Knowledge of security best practices.
  • Exposure to high-availability systems.
  • Basic understanding of cloud cost optimization.
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