Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Employment Authorization
Enterprise Software
IaaS
PaaS
SaaS
Deep Learning
Virtual Private Network
DNS
Dragon NaturallySpeaking
Firewall
Cloud Security
Encryption
Identity Management
Regulatory Compliance
HIPAA
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Terraform
API
Management
RESTful
SOAP
Microservices
Application Development
Communication
Articulate
Amazon SageMaker
Amazon Redshift
Amazon EC2
Extract
Transform
Load
Amazon Kinesis
Electronic Health Record (EHR)
Google Cloud
Google Cloud Platform
Vertex
Artificial Intelligence
Machine Learning (ML)
Amazon Web Services
Microsoft Azure
Cloud Computing
Job Details
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
CANDIDATE SKILLS AND QUALIFICATIONS
- experience architecting enterprise application solutions across on-premises and cloud infrastructure Required 10 years
- architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS. Required 10 years
- developing cloud native application architectures across leading cloud platforms. Required 8 years
- architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS Required 8 years
- experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies. Required 8 years
- Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. Preferred 8 years
- Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. Preferred 8 years
- Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation. Preferred 8 years
- Knowledge of API design, development, and management, including RESTful and SOAP APIs. Preferred 8 years
- Knowledge of microservices, serverless architectures, and cloud-native application development. Preferred 8 years
- Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. Preferred 8 years
- Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services. - Preferred 6 years
- Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect - Preferred 1 years
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