Cloud Architect

The Walden architecture team is looking for a talented, highly motivated Cloud Architect to design and lead implementation of artificial intelligence and data centric solutions in cloud platforms. The cloud architect will work with internal business/IT teams and external vendors to design and lead implementation of secure, scalable and highly available solutions in cloud platforms. Cloud architect will design and lead implementation of automatic pipelines to automate build and deployment of applications to cloud platforms. Cloud architect will work with operations team to implement proactive monitoring and ensure that logging and auditing is available for troubleshooting.
RESPONSIBILITIES:

• Design efficient, secure, adaptable, scalable, and reliable cloud native applications and services
  
• Drive all technical design and execution of activities to implement Applied AI use cases leveraging AI and machine learning services available from PaaS or SaaS providers
  
• Design and implement APIs for a data eco system in Google Cloud Platform
  



• Work with data science and BI teams to enable existing machine learning models and analytics data as APIs
  
• Design and implement new features in existing AI based applications and services
  
• Work with security team to implement the best practices to secure cloud environments
  
• Communicate and socialize design and architecture design decisions.
  
• Communicate with senior leaders regarding the architecture, discuss problems and recommend solutions and improvements.
  



• Interact and work with application and business team members to provide the optimal environment for applications to deliver business functionality.
  
• Design and Drive migration of legacy application to serverless architecture in GCP
  



TECHNICAL SKILLS:


• Bachelor of Science in Computer Science or in related field
  



• 5-10 year experience in designing and implementing web applications and APIs in cloud
  
• Hands on experience with one of the three primary public clouds: AWS, GCP, Azure (GCP preferred)
  
• Experience in AI and machine learning cloud services provided by AWS or GCP (GCP Preferred)
  
• Experience in designing and implementing chatbot based applications
  
• Experience in graph databases like Neo4j is a plus
  



• Experience in building and deploying machine learning models in browser using JavaScript libraries like TensorFlow in a plus
  
• Billing configuration including labeling, cost monitoring and allocation.
  
• Experience designing and implementing CI/CD solutions in Cloud
  
• Experience in Firebase, Kubernetes Service, Big Query, Cloud Fusion, Pub Sub and Cloud SQL or any of these in open-source equivalent
  
• Experienced in the architecture, design, device to cloud integration and development of internet of things software solutions
  
• Design and debug experience for solutions involving hardware, imbedded firmware, server backend at scale, mobile and multiple web applications in a micro-service architecture
  



• Excellent verbal and written communications skills as well as the ability to work effectively across internal and external organizations.
  
• Understanding of SAFE framework is a plus
  


COMPETENCIES:


• Solution-oriented with problem solving ability.
  



• Operate autonomously and result driven ensuring concept to completion with focus on time to value
  
• Collaborative and a team player leveraging relationships to resolving blockers
  
• Self-motivated and driven to find the right solution based in incubation or scale
  
• Strong communication skills
  
• Committed to quality
  



• Operate autonomously and are result driven
  
• Take ownership and accountability
  
• Flexible in taking up different roles and tackling multiple technologies
  
• Work collaboratively on projects and help achieving company goals
  
• Strong analytic, organization, presentation, customer service and facilitation skills
  



• Ability to prioritize and execute on multiple concurrent initiatives with related or independent goals
  
• Be a voice of leadership and development teams to share insights and best practices
  
• Demonstrated ability to think strategically about business, product, and technical challenges
  
• Excellent verbal and written communications skills as well as the ability to work effectively across internal and external organizations.
  
• Experience developing software in one of the programming languages is a plus