Tech S And T - Cloud Engineering Consultant-API - ISR - Senior - GDSF02

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Cloud Engineering Senior Engineer – API   Job Summary:   We are seeking a highly skilled Cloud Engineering Senior Engineer – API, Full Stack & AI/ML with 6+ years of strong experience in cloud engineering, enterprise application development, API-led architecture, Full Stack development, and AI/ML solution delivery across cloud environments. The role focuses on designing, developing, and modernizing cloud-native applications, enterprise API ecosystems, and AI-powered business solutions to enable digital transformation, innovation, scalability, and operational efficiency for enterprise clients.   The ideal candidate will possess strong hands-on technical expertise combined with client-facing advisory experience, with the ability to drive application modernization initiatives, API transformations, AI/ML adoption, and proof-of-concepts across complex enterprise environments.     Key Responsibilities:

Design, develop, deploy, and optimize cloud-native applications, enterprise APIs, and AI-powered solutions across Azure, AWS, and GCP platforms. Build scalable, secure, and high-performing applications using modern Full Stack technologies and Python-based frameworks. Design and implement RESTful APIs, GraphQL services, microservices, and enterprise integration solutions. Strong competency in API lifecycle management, API security, governance, versioning, and API Management platform implementation. Develop and integrate cloud-native services, event-driven architectures, and distributed application frameworks. Apply AI/ML and Generative AI technologies to build intelligent business applications and automation solutions. Develop solutions leveraging Large Language Models (LLMs), RAG architectures, AI Agents, embeddings, and vector databases. Collaborate with Data Science, Cloud, DevOps, and Platform Engineering teams to operationalize AI/ML solutions. Develop automation frameworks and engineering accelerators using Python, Terraform, and cloud-native services. Support cloud modernization initiatives involving containers, Kubernetes, DevSecOps, CI/CD, and Infrastructure as Code. Design and execute Proof of Concepts (PoCs), pilot implementations, and innovation use cases for API, Cloud, and AI transformation programs. Develop technical documentation, architecture diagrams, dashboards, and solution recommendations for client engagements. Collaborate with Architecture, Security, Platform, and Development teams to align technology solutions with enterprise standards and governance requirements. Provide technical advisory support on API strategy, Cloud Engineering, AI/ML implementation, and application modernization initiatives.

6+ years of experience in Cloud Engineering, Enterprise Application Development, API Engineering, and Full Stack Development. Strong understanding of cloud-native architecture principles including microservices, distributed systems, containers, and event-driven architectures. Proven experience in designing and developing enterprise APIs and cloud-native applications. Hands-on experience with AI/ML, Generative AI, and modern application development technologies. Experience working with cloud platforms including Azure, AWS, and GCP. Strong understanding of DevSecOps, Infrastructure as Code, CI/CD, and engineering automation practices. Experience working in client-facing advisory, consulting, or enterprise engineering roles. Strong analytical, problem-solving, and communication skills. Bachelor’s degree in Information Technology, Computer Science, Engineering, or a