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Solution Architecture
- Drive multiple cloud initiatives, including advanced Kubernetes Platform development on AWS and Azure.
- Lead cloud migration strategies and execution, ensuring smooth transitions to cloud environments.
- Implement cloud FinOps practices to optimize costs and manage financial resources effectively.
- Oversee containerization and orchestration solutions to enhance application deployment.
- Ensure robust cloud security and compliance across all projects.
- Strong networking understanding especially of the protocols operating at Layer 4 and Layer 7 of the OSI model.
- Design and implement microservice-based container architectures using Docker and Kubernetes.
- Experience with designing and deploying PaaS solutions using platforms like Cloud Foundry or Heroku.
- Design and implement serverless architectures using AWS Lambda, Azure Functions, or Google Cloud Functions.
- Provide guidance and support on DevOps practices and tools for continuous integration and deployment.
- Maintain a deep understanding of Agentic AI and Large Language Models (LLMs) for integration in projects.
- Stay current with industry trends and emerging technologies related to cloud and AI.
API Design and Microservices
- Collaborate with engineering teams to design and implement scalable API-based microservices.
- Design and implement RESTful APIs using API Gateway, API Management, or other API management tools.
- Experience with designing and implementing event-driven architectures using message queues like Apache Kafka or Amazon SQS.
Project Management
- Develop and maintain detailed project plans, timelines, and resource allocations.
- Present bi-weekly project updates to the Senior Vice President (SVP), highlighting status and risks.
- Cultivate strong relationships with key stakeholders, including product management and engineering teams.
- Identify and mitigate technical risks, developing contingency plans as needed.
- Support professional development and growth opportunities within the team.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Solution Architecture
- Drive multiple cloud initiatives, including advanced Kubernetes Platform development on AWS and Azure.
- Lead cloud migration strategies and execution, ensuring smooth transitions to cloud environments.
- Implement cloud FinOps practices to optimize costs and manage financial resources effectively.
- Oversee containerization and orchestration solutions to enhance application deployment.
- Ensure robust cloud security and compliance across all projects.
- Strong networking understanding especially of the protocols operating at Layer 4 and Layer 7 of the OSI model.
- Design and implement microservice-based container architectures using Docker and Kubernetes.
- Experience with designing and deploying PaaS solutions using platforms like Cloud Foundry or Heroku.
- Design and implement serverless architectures using AWS Lambda, Azure Functions, or Google Cloud Functions.
- Provide guidance and support on DevOps practices and tools for continuous integration and deployment.
- Maintain a deep understanding of Agentic AI and Large Language Models (LLMs) for integration in projects.
- Stay current with industry trends and emerging technologies related to cloud and AI.
API Design and Microservices
- Collaborate with engineering teams to design and implement scalable API-based microservices.
- Design and implement RESTful APIs using API Gateway, API Management, or other API management tools.
- Experience with designing and implementing event-driven architectures using message queues like Apache Kafka or Amazon SQS.
Project Management
- Develop and maintain detailed project plans, timelines, and resource allocations.
- Present bi-weekly project updates to the Senior Vice President (SVP), highlighting status and risks.
- Cultivate strong relationships with key stakeholders, including product management and engineering teams.
- Identify and mitigate technical risks, developing contingency plans as needed.
- Support professional development and growth opportunities within the team.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job