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R&D Technical Lead

7 - 10 years

12 - 17 Lacs

Bengaluru

Posted:1 week ago| Platform: Naukri logo

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Skills Required

kubernetes cloud security java linux aws contract management llb software testing contract law openshift microsoft azure corporate law arbitration docker legal notices technical research drafting litigation leadership development agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a R&D Technical Lead in the Product & Engineering, Subscriber Signaling and Policy (NPC/CSD) team at Nokia, you will play a pivotal role in driving innovation in cloud-native applications and architectures. You'll work closely with cross-functional teams to problem-solve requirements, design system components, and guide the end-to-end development of features and functionalities. Our work environment thrives on agility and a startup culture, where you will be encouraged to contribute your expertise in Core Java, cloud security, and containerization using Docker and Kubernetes. Your insights will directly impact our efforts to enhance signaling protocols and address the dynamic demands within 4G/5G networks. You have 7 to 10 years of hands-on development experience in Core Java. Expertise in Linux and familiarity with debugging tools like gcov and valgrind. Experience with cloud native technologies including Docker and Kubernetes. It would be nice if you also had Knowledge of 2G/3G/4G/5G Core Network and 3GPP standards. Experience with open-source PaaS environments such as OpenShift. Knowledge of Cloud Infrastructure and hyperscale cloud capabilities like AWS and Azure. Develop and implement cloud-native applications, ensuring performance, scalability, and security. Conduct requirement problem-solving and component design using advanced system engineering processes. Facilitate the software and hardware architecture at the system component level, ensuring robust design. Deploy, test, and troubleshoot cloud applications solo in an agile, fast-paced environment. Utilize containerization technologies like Docker and Kubernetes for efficient application management.

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