Cloud Solutions Architect
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Role details
Tech stack
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Job description
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance
7
Required
Support application Kubernetes cluster and serverless infrastructure, help address any associated API’s pertaining to cloud infrastructure services and integrations
7
Required
Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates
7
Required
Experience and understanding with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, Google Cloud Platform Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
7
Required
Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools
7
Required
Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
Requirements
Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems., Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio), the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project, Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project, Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects
7
Required
Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines
7
Required
Ability to lead and provide direction to team members
7
Required
Ability to lead the creation of best practices and procedures
8
Preferred
8 years+ Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
8
Preferred
8 years+ Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
8
Preferred
8 years+ Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
8
Preferred
8 years+ Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform
8
Preferred
8 years+ Knowledge, Experience and understanding of cloud-based network design principles
8
Preferred
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance
8
Preferred
8 years+ Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
8
Preferred
Knowledge and/or hands-on experience with cloud database services (Rational/NoSQL and SQL/Oracle) data lakes and cloud ETL/ELT best practices, suitable frameworks of handling all types of data for structured and unstructured information.
8
Preferred
8 years+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.
5
Preferred
Knowledge of AI services and configuration required to set up the service available from major cloud services providers.
5
Preferred
Knowledge of data pipelines, ETL processes, and big data frameworks
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