What are the responsibilities and job description for the Cloud Solutions Architect position at Numentica LLC?
The cloud architect is responsible for the
cloud computing initiatives within an organization and for directing the
architectural aspects of a cloud brokering team across all aspects of IT and
the business. Responsible for the planning and engineering of an organization's
cloud computing infrastructure and applications. Implements and designs
hardware and software. Familiar with standard concepts, practices, and
procedures of cloud technology, including Software as Service (SaaS), Platform
as Service (PaaS), or Infrastructure as a Service (IaaS).
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
Years | Required/Preferred | Experience |
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: GCP, 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 |