What are the responsibilities and job description for the Cloud Solutions Architect position at Meta Force Technology Staffing LLC?
JOB TITLE : Cloud Solutions Architect
LOCATION : Austin, TX (hybrid onsite and remote. Onsite Tuesdays and Thursdays. Remote Monday, Wednesday, and Friday. Candidates MUST currently reside in Texas, preferably in the Austin area. Do NOT provide candidates willing to relocate to Texas that are not already in Texas.)
The client is only considering local candidates
DURATION : 1-Year Contract
CLIENT : State of Texas
START DATE : 2 Weeks
DUE DATE : 24 - 48 Hours
LINKEDIN Matching to the resume is mandatory for submissions.
DURATION : Initial contract for 1,024 hours through 8 / 31 / 25 (end of fiscal year) with optional extensions.
DUE DATE : COB 1 / 16 / 25
JOB DESCRIPTION / MINIMUM REQUIREMENTS :
The cloud solution architect will be responsible for :
Design, develop and maintain cloud 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.
Minimum Requirements :
Candidates that do not meet or exceed the minimum stated requirements (skills / experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required / Preferred
Experience
Required
experience architecting enterprise application solutions across on-premises and cloud infrastructure
Required
architecting solutions in one or more of the cloud platforms : GCP, Azure, and AWS.
Required
developing cloud native application architectures across leading cloud platforms.
Required
architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
Required
experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
Preferred
Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
Preferred
Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
Preferred
Familiarity with CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
Preferred
Proficiency in languages such as Python, Java, C#, and scripting languages for automation.
Preferred
Knowledge of API design, development, and management, including RESTful and SOAP APIs.
Preferred
Knowledge of microservices, serverless architectures, and cloud-native application development.
Preferred
Ability to analyze and optimize cloud costs while maintaining performance and reliability.
Preferred
Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
Preferred
Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.
Preferred
Skills in monitoring and analyzing system performance to ensure optimal cloud operations.
Preferred
Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe
Preferred
Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect
