Cloud Delivery Engineer

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.

- 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.

- 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

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