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Cloud Delivery Engineer (Azure/AWS) For Data/AI Platforms

Cloud Delivery Engineer (Azure/AWS) For Data/AI Platforms

Pepsico

8 - 13 years

20 - 25 Lacs

hyderabad

Posted:3 days ago| Platform:

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Skills Required

python cloud security cloud technologies devops aws kubernetes architecting microsoft azure machine learning aws cloudformation artificial intelligence docker containerization cloud architecture powershell bash vector terraform arm templates db

Work Mode

Hybrid

Job Type

Full Time

Job Description

Overview

We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms.

Responsibilities

Seeking a talented AWS artificial intelligence specialist with following skills.
Provision the cloud resources, ensuring they adhere to approved architecture and organizational standards on both Azure and AWS.
Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS.
Architecting, Designing, Developing and Implementing AI models and algorithms to address business challenges and improve processes.
Experience in implementing Security Principles and Guardrails to AI Infrastructure.
Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments.
Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions.
Create and maintain documentation for AI models, algorithms as Knowledge base article
Participate in capacity planning and cost optimization initiatives for multi-cloud resources.
Experience working with Vector DB (Datastax HCD)
Conduct experiments to test and compare the effectiveness of different AI approaches.
Troubleshooting and resolving issues related to AI systems.
Deploying AI solutions into production environments and ensuring their integration with existing systems.
Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes
Research and stay updated on the latest AI and machine learning technology advancements.
Present findings and recommendations to stakeholders, including technical and non-technical audiences.
Providing technical expertise and guidance on AI-related projects and initiatives.
Expereince in creating Deployments for Intelligent Search, Intelligent Document
Processing, Media Intelligence, Forecasting, AI for DevOps, Identity Verification, Content Moderation
Experience in Amazon Bedrock, SageMaker, All Foundational AWS Resources under Compute, Networking, Security, App Runner, Lambda

Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both AWS & Azure.
Strong understanding of AWS and Azure services, architectures, and best practices, particularly in Data and AI platforms.
Certifications in both AWS (e.g., AWS Certified Solutions Architect - Professional) Azure (e.g., Azure Solutions Architect Expert).
Experience in working with multiple teams cloud platforms.
Demonstrated ability to work horizontally across different teams and platforms.
Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments.
working experience of DevOps practices and tools applicable to both Azure and AWS.
Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform).
Proficiency in scripting languages (e.g., PowerShell, Bash, Python).
Solid understanding of networking concepts and their implementation in Azure and AWS.

Preferred:

Cloud Architecture/specialist.
Experience with hybrid cloud architectures.
Familiarity with containerization technologies (e.g., Docker, Kubernetes) on both Azure and AWS.

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Cloud Delivery Engineer (Azure/AWS) For Data/AI Platforms