Ernst and Young

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

Ernst and Young
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3 days ago
Noida, IndiaSenior

Responsibilities

  • Design, develop, deploy, and optimize cloud-native applications, enterprise APIs, and AI-powered solutions across Azure, AWS, and GCP.
  • Build scalable applications using full-stack technologies and Python-based frameworks.
  • Design and implement RESTful APIs, GraphQL services, microservices, enterprise integrations, and API lifecycle management solutions.
  • Develop AI/ML and generative AI applications using LLMs, RAG architectures, AI agents, embeddings, and vector databases.
  • Collaborate with Data Science, Cloud, DevOps, Platform Engineering, Architecture, Security, and Development teams.
  • Create automation frameworks and engineering accelerators using Python, Terraform, and cloud-native services.
  • Support cloud modernization involving containers, Kubernetes, DevSecOps, CI/CD, and infrastructure as code.
  • Execute proofs of concept, pilot implementations, and innovation use cases for API, cloud, and AI transformation programs.
  • Prepare technical documentation, architecture diagrams, dashboards, and solution recommendations for client engagements.
  • Provide technical advisory support on API strategy, cloud engineering, AI/ML implementation, and application modernization.

Requirements

  • At least 6 years of experience in cloud engineering, enterprise application development, API engineering, and full-stack development.
  • Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related discipline.
  • Strong experience with cloud-native architecture, microservices, distributed systems, containers, event-driven architectures, enterprise APIs, and cloud-native applications.
  • Hands-on experience with AI/ML, generative AI, modern application development, LLMs, RAG, AI agents, prompt engineering, embeddings, and vector databases.
  • Experience with Azure, AWS, GCP, API management platforms, event-driven systems, messaging platforms, containers, orchestration, DevSecOps, CI/CD, GitOps, platform engineering, and infrastructure as code.
  • Experience with relational, NoSQL, and vector databases, observability, application performance monitoring, logging, security monitoring, and site reliability practices.
  • Experience in client-facing advisory, consulting, or enterprise engineering roles.
  • Strong analytical, problem-solving, communication, and technical advisory skills.

Tech Stack

AngularApache KafkaAWSAzureDjangoDockerFastAPIFlaskGitHub ActionsGoogle Cloud PlatformGraphQLJavaScriptJenkinsKubernetesMicrosoft SQL ServerMongoDBNode.jsOpenShiftPostgreSQLPythonRabbitMQReactRedisTerraformTypeScript
Ernst and Young

About Ernst and Young

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