Cloud Solution Architect with AWS and Google Cloud Platform

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

API
Amazon EC2
Amazon Kinesis
Amazon Redshift
Amazon SageMaker
Amazon Web Services
Cloud Computing
Cloud Security
Communication
Continuous Delivery
Application Development
Articulate
Docker
Dragon NaturallySpeaking
Artificial Intelligence
C#
Extract, Transform, Load
Firewall
Continuous Integration
DNS
Google Cloud Platform
HIPAA
Identity Management
Deep Learning
Encryption
Enterprise Software
Management
Good Clinical Practice
IaaS
PaaS
Python
RESTful
Regulatory Compliance
Java
Kubernetes
Machine Learning (ML)
Microservices
Virtual Private Network
Microsoft Azure
SOAP
Scripting
Terraform
Vertex

Job Details

 

 

Webcam Interview

Onsite Role

Only Local to Texas profiles required.

experience architecting enterprise application solutions across on-premises and cloud infrastructure

architecting solutions in one or more of the cloud platforms: Google Cloud Platform, and AWS.

developing cloud native application architectures across leading cloud platforms.

architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS or google technologies.

Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

Proficiency in languages such as Python, Java, C#, and scripting languages for automation.

Knowledge of API design, development, and management, including RESTful and SOAP APIs.

Knowledge of microservices, serverless architectures, and cloud-native application development.

Ability to analyze and optimize cloud costs while maintaining performance and reliability.

Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.

Skills in monitoring and analyzing system performance to ensure optimal cloud operations.

Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR

Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset

Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.