Cloud Architect

Robotics Technologies LLC
Austin, TX, United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Microsoft Azure C Sharp (Programming Language) Software as a Service Cloud Computing Cloud Computing Security Cloud Engineering Data Integrity Domain Name System (DNS)
+29 more
Infrastructure as a Service (IaaS) Identity and Access Management Virtual Private Networks (VPN) Python (Programming Language) Machine Learning Platform as a Service (PAAS) Migration Manager Software Engineering Scripting Google Cloud Enterprise Software Applications Load Balancing Deep Learning SOAPAPI Electronic Medical Records Firewalls (Computer Science) Cloudformation Containerization AI Platforms Kubernetes Infrastructure Automation Frameworks Api Design Restful APIs Terraform Data Pipelines Serverless Computing Docker Amazon Redshift Microservices

Job description

The cloud solution architect will be responsible for:

Design, develop and maintain cloud application architecture that aligns with business goals and technical requirements.

Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture.

Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation.

Implement and validate the migration, ensuring data integrity and system functionality.

Ensure cloud architecture complies with industry standards and regulatory requirements.

Implement security measures to protect data and applications in the cloud.

Monitor cloud system performance and identify areas for improvement.

Implement solutions to enhance performance, scalability, and reliability.

Collaborate with stakeholders to understand business needs and translate them into technical solutions.

Provide guidance and support to other IT team members on cloud technologies and best practices.

Stay updated with the latest cloud technologies and industry trends.

Identify opportunities for innovation and improvement in cloud architecture and services.

Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services.

Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content.

Requirements

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

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

8-Required-developing cloud native application architectures across leading cloud platforms.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

1-Preferred-Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect Equal Opportunity Employer

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