Application Developer-Google Cloud FullStack

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As an Application Developer: Google Cloud FullStack, you will design and develop cloud-native solutions using microservices-based modular designs, API-driven microservices, and event-driven architectures. You will work in a continuous release and improvement cycle via Agile, delivering scalable and resilient backend microservices and rich UI applications. Your primary responsibilities will include:

• Develop Cloud-Native Solutions: Design and develop cloud-native solutions using microservices-based modular designs, API-driven microservices, and event-driven architectures, ensuring scalability and resilience.
• Deliver Scalable Backend Microservices: Develop backend microservices based on 12-factor principles, exposing functionality via API and event interfaces, and utilizing modern SQL and No-SQL modeling techniques.
• Create Rich UI Applications: Develop rich UI applications based on SPA or microfrontends using frameworks such as ReactJS or Angular, and utilizing progressive web application principles.
• Implement Event-Driven Architectures: Develop event-driven applications using Kafka, Zookeeper, and other cloud-native technologies, ensuring seamless integration and efficient data processing.
• Ensure Cloud-Native CI/CD: Implement cloud-native CI/CD pipelines for change release, utilizing hyperscaler cloud services and frameworks, and ensuring efficient testing and deployment.
• Deep Expertise in Cloud-Native Solutions: Experience with designing and developing cloud-native solutions using microservices-based modular designs, API-driven microservices, and event-driven architectures, with a focus on scalability and resilience.
• Proficiency in Full Stack Development: Experience with developing rich UI applications based on SPA or microfrontends using frameworks such as ReactJS or Angular, and utilizing progressive web application principles, as well as developing scalable and resilient backend microservices.
• Mastery of Microservices Development: Experience with developing backend microservices based on 12-factor principles, exposing functionality via API and event interfaces, and utilizing modern SQL and No-SQL modeling techniques.
• Expertise in Event-Driven Architectures: Experience with developing event-driven applications using Kafka, Zookeeper, and other cloud-native technologies, ensuring seamless integration and efficient data processing.
• Advanced Knowledge of Cloud-Native CI/CD: Experience with implementing cloud-native CI/CD pipelines for change release, utilizing hyperscaler cloud services and frameworks, and ensuring efficient testing and deployment.
• Proficiency in Hyperscaler Cloud Services: Experience with hyperscaler cloud services and frameworks, including IBM Cloud, Google Cloud, and others, with a focus on scalability and resilience. Knowledge of cloud-native CI/CD pipelines and event-driven architectures is essential.
• Knowledge of Additional Programming Languages: Familiarity with multiple programming languages, including Java, GraalVM, NodeJS, Python, and .Net, with proficiency in one or more of these languages.
• Experience with IBM Cloud Services: Experience with IBM Cloud services, including PaaS, IKS cluster, ROKS Cluster, Cloud Foundry, and others, with a focus on scalability and resilience. United States Software Engineering Hybrid Professional San Jose, US San Jose (0147) International Business Machines Corporation Apache Kafka Cluster Data Processing Integration Interfaces Java Modeling Python React.js Structured Query Language Scalability Spa Testing Programming Languages Financial and Operational Combined Uniform Single Reporting Google Cloud Microservices Development Resilience Angular Continuous Integration/Continuous Delivery Full Stack Development Platform as a Service Application Programming Interface Progressive Web Application Continuous Integration/Continuous Delivery Pipelines Cloud Foundry