Senior AI Platform Software Engineer

4 - 7 years

18 - 22 Lacs

Posted:2 months ago| Platform: Naukri logo

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Job Description

Nokia Standards drives technology leadership by developing and bringing innovative concepts to industry and standards organizations. As a Senior Platform Software Engineer, you will develop cutting-edge cloud-based solutions focusing on backend technologies and infrastructure management. Design and implement robust server-side applications. Work with various protocols, programming languages and databases to build reliable and high-performance systems. Manage cloud infrastructure, optimize it for scalability, reachability, and zero downtime. You have: Masters or Bachelor's degree in Computer Science, AI, IT, Telecommunications, or a related field with 5-8 years of total experience. Software development experience with experience in containerizing applications and moving them to the cloud. Understanding of cloud computing concepts and experience with AWS, GCP, Azure, or On-Prem solutions. Understanding of data storage methodologies and application software data stores. Experience in databases, SQL, NoSQL and in-memory databases Understanding of networking, API development, and communication protocols (REST, gRPC, WebSockets). Proficiency in backend development, write code in Go, C/C++, or Python and MATLAB. Proficient in Linux environment, Shell scripting,and system debugging. Experience with Kubernetes (K8s), Docker, and containerized application deployment at scale. It would be nice if you also had: Ability to integrate multiple software components into a composite software service. Familiarity with security best practices in cloud-based applications. Contribute to the development of modern cloud-based platforms for data, AI/ML, and communication network simulations. Work with state of the art open-source software such as K8s, Flyte, and adapt it to the business needs of cross-functional teams and stakeholders. Ensure best and seamless user experience for cloud applications based on paradigms like scalability, reachability and zero downtime. Implement features for improving end-to-end toolchains in close collaboration with data scientists and researchers for a diverse set of use cases such as Machine Learning, large scale system simulations, LLM fine tuning. Backend DevelopmentUtilize your proficiency in Go, Java and Python for backend development, creating powerful, scalable, and efficient server-side applications. Work with SQL/NoSQL databases and in-memory databases, implementing robust data storage solutions. Work with various types of data and ensure seamless availability, accessibility and high quality.

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