Cloud Architect

Quantum Technologies. LLC; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Quantum Technologies. LLC is hiring a Cloud Solution Architect to design, develop, and maintain cloud application architectures that align with business goals.

You will assess, plan, migrate, implement, and validate cloud migrations while ensuring security, compliance, and performance across AWS, Azure, and Google Cloud. The role requires expertise in cloud-native architectures, IaaS/PaaS/SaaS, and experience with ML/AI services.

Qualifications

• Experience designing enterprise-scale cloud architectures across on-prem and cloud
• Hands-on experience with AWS, Azure, or GCP
• Proven ability to design cloud-native apps using IaaS, PaaS, SaaS
• Experience with ML/AI across AWS or Google tech stacks
• Knowledge of virtual networks, VPNs, DNS, load balancers and firewalls
• Understanding of cloud security frameworks, IAM, and compliance standards like GDPR/ HIPAA
• Familiarity with CI/CD pipelines, containers (Docker/Kubernetes) and IaC tools
• Proficiency in Python/Java/C# and automation scripting
• Knowledge of API design and management (REST/SOAP)
• Knowledge of microservices/serverless cloud-native app development
• Ability to optimize cloud costs while maintaining performance
• Excellent communication to articulate cloud strategies to stakeholders
• Ability to work with cross-functional teams and map business needs to technical solutions
• Experience monitoring and analyzing system performance for optimum cloud operations
• Cloud tech certifications preferred

Responsibilities

• Design, develop and maintain cloud application architecture aligned with business goals
• Assess current infrastructure and plan migration strategy with timelines and resources
• Implement and validate cloud migration with data integrity and functionality
• Ensure cloud architecture meets industry standards and regulatory requirements
• Implement security measures to protect data and apps in the cloud
• Monitor cloud system performance and identify improvement opportunities
• Enhance performance, scalability and reliability of cloud solutions
• Guide stakeholders on AI/ML/Generative AI projects across Azure, AWS and Google
• Provide mentorship on cloud technologies and best practices
• Stay updated on latest cloud trends and innovations

Skills

Enterprise architecture

Cloud platforms (AWS, GCP, Azure)

Cloud-native architectures

IaaS/PaaS/SaaS

ML/AI with AWS/Google

Networking (VNet, VPN, DNS)

Cloud security & IAM, compliance (GDPR

CI/CD, Docker, Kubernetes

Terraform / CloudFormation / IaC

Python/Java/C#/Scripting

API design (REST/SOAP)

Microservices/serverless

Cloud cost optimization

Cross-functional collaboration

Monitoring & performance optimization

Education

Cloud certifications (AWS/Azure/GCP)

Tools

Terraform

CloudFormation

Docker

Kubernetes

REST APIs

SOAP APIs

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.

CANDIDATE SKILLS AND QUALIFICATIONS

• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.