Senior - Cloud Engineering - API

EY; Dadri; Vor Ort; INR 3.000.000 - 6.000.000; Vollzeit

Benefits dieser Stelle

EY career growth

Zusammenfassung

EY is seeking a Cloud Engineering Senior Engineer API to design, develop, and modernize cloud-native applications and enterprise APIs with a focus on AI/ML across Azure, AWS, and GCP. The role combines hands-on engineering with client-facing advisory to drive API transformations and AI-enabled solutions for enterprise clients.

The candidate will collaborate with Data Science, Cloud, DevOps, and Platform teams to deliver scalable, secure, and innovative cloud solutions, including PoCs and

Qualifikationen

• 6+ years in cloud engineering and full stack development.
• Experience across Azure, AWS, and GCP.
• Proven API design and enterprise API development.
• Hands-on AI/ML and Generative AI experience.
• Client-facing advisory or enterprise engineering background.
• Bachelor’s degree in IT/CS/Engineering.

Aufgaben

• Design, develop, deploy, and optimize cloud-native apps, APIs, and AI-powered solutions across cloud platforms.
• Build scalable, secure applications using modern Full Stack technologies and Python-based frameworks.
• Design and implement RESTful APIs, GraphQL, microservices, and enterprise integration.
• Lead API security, governance, versioning, and API management implementation.
• Develop cloud-native services, event-driven architectures, and distributed apps.
• Apply AI/ML and Generative AI to business applications and automation.
• Develop solutions with LLMs, RAG architectures, AI agents, embeddings, and vector databases.
• Collaborate with Data Science, Cloud, DevOps, and Platform Engineering teams to operationalize AI/ML.
• Develop automation frameworks and accelerators using Python, Terraform, and cloud-native services.
• Support cloud modernization initiatives involving containers, Kubernetes, DevSecOps, CI/CD, and IaC.
• Design PoCs, pilots, and innovation use cases for API, Cloud, and AI transformations.
• Create technical documentation, architecture diagrams, dashboards, and client recommendations.
• Collaborate with Architecture, Security, Platform, and Development teams to align with governance.

Kenntnisse

6+ years in Cloud Engineering and Full

API Engineering and Enterprise API

Full Stack development

AI/ML and Generative AI experience

Client-facing advisory experience

Strong analytical and communication

Ausbildung

Bachelor's degree in IT/CS/Engineering

Tools

Azure

AWS

GCP

Terraform

Azure DevOps

GitHub Actions

Jenkins

ArgoCD

Docker

Kubernetes

OpenShift

Apigee

Kong

Azure API Management

MuleSoft

PostgreSQL

SQL Server

MongoDB

Cosmos DB

Redis

Pinecone

ChromaDB

FAISS

Jobbeschreibung

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.

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.
• Bachelors 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.