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

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.

Qualifications:

• 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 related discipline.

Technical Expertise:

• Strong expertise in Cloud Platforms including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
• Deep hands-on experience in Python, FastAPI, Flask, Django, and backend application development.
• Strong Full Stack development expertise using React.js, Angular, Node.js, TypeScript, and JavaScript.
• Strong competency in designing and implementing REST APIs, GraphQL services, Microservices, and Enterprise Integration frameworks.
• Experience with API Management platforms including Apigee, Kong, Azure API Management, MuleSoft, or equivalent solutions.
• Strong knowledge of Event-Driven Architecture, Kafka, RabbitMQ, and enterprise messaging platforms.
• Proven expertise in AI/ML technologies including Azure OpenAI, OpenAI APIs, AWS Bedrock, Vertex AI, LangChain, Semantic Kernel, and MLOps.
• Strong competency in developing solutions using LLMs, RAG Architectures, AI Agents, Prompt Engineering, Embeddings, and Vector Databases.
• Experience with containerization and orchestration platforms including Docker, Kubernetes, and OpenShift.
• Strong competency in DevSecOps, CI/CD, GitOps, Platform Engineering, and Infrastructure as Code using Terraform, Azure DevOps, GitHub Actions, Jenkins, and ArgoCD.
• Experience with relational, NoSQL, and vector databases including PostgreSQL, SQL Server, MongoDB, Cosmos DB, Redis, Pinecone, ChromaDB, and FAISS.
• Strong understanding of Observability, Application Performance Monitoring, Logging, Security Monitoring, and Site Reliability Engineering practices.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

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