Application Developer - STUDENT CONVERSION

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: AWS Cloud FullStack, you will work in a modern cloud-native environment, building solutions around microservices, API-driven architectures, and continuous release cycles. You will collaborate with teams to deliver scalable and resilient applications using Agile methodologies. Your primary responsibilities will include: • Develop Rich UI Applications: Design and implement rich user interface applications using Single Page Applications (SPA) or microfrontends, utilizing frameworks such as ReactJS or Angular. • Build Scalable Backend Microservices: Develop scalable and resilient backend microservices based on 12-factor principles, exposing functionality via API and event interfaces, using programming languages such as Java, NodeJS, or Python. • Implement Data Modeling: Design and implement data models using modern SQL and No-SQL modeling techniques, ensuring data consistency and integrity. • Develop Event-Driven Applications: Build event-driven applications using Kafka, Zookeeper, and other hyperscaler cloud services, ensuring seamless communication between microservices. • Manage AWS Services: Run and manage services on AWS, including PaaS, routing services, databases, event-driven services, observability, and DevSecOps tools, ensuring efficient and secure application deployment. • Cloud-Native Development Experience: Exposure to developing applications in a modern cloud-native environment, utilizing microservices, API-driven architectures, and continuous release cycles via Agile methodologies. • Programming Language Proficiency: Experience with one or more programming languages, including Java, NodeJS, Python, or .Net, and proficiency in frameworks such as Springboot, Quarkus, Django, or Express Js. • Data Modeling Knowledge: Experience with modern SQL and No-SQL modeling techniques, including data model design and implementation. • Hyperscaler Cloud Services: Exposure to hyperscaler cloud services, including Kafka, Zookeeper, and AWS services such as EKS, ECS, Fargate, Lambda, and API Gateway. • DevSecOps Tools: Experience with DevSecOps tools, including CodeBuild, CodeDeploy, CodePipeline, CodeCommit, and observability tools such as CloudWatch and X-Ray.