Cloud infrastructure Architect

Conquest Consulting
Austin, TX, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Word Microsoft Excel Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Bash Shell Big Data Software as a Service Cloud Computing Cloud Database Cloud Engineering Command Language
+48 more
Continuous Integration Data Governance Extract Transform Load (ETL) Data Mapping Data Warehousing DevOps Infrastructure as a Service (IaaS) JSON Korn Shell Microsoft Office Microsoft Project Microsoft Visio Network Planning and Design NoSQL Oracle (Applications) Platform as a Service (PAAS) Microsoft PowerPoint Windows PowerShell Scrum Methodology Cloud Services Ansible Ruby Software Engineering SQL Databases YAML Data Logging Scripting Google Cloud Cloud Platform System Cloud Monitoring Computer Equipment Containerization Data Lakes AI Platforms Kubernetes Information Technology Data Analytics Performance Monitor Cloudwatch Terraform Oracle Cloud Infrastructure Data Pipelines Dynatrace Serverless Computing Azure Resource Manager Docker Programming Languages Microservices

Requirements

7 Years of 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. 7 Years of Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers 7 Years of Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS 7 Years of Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies. 7 Years of Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform 7 Years of Knowledge, Experience and understanding of cloud-based network design principles 7 Years of Strong knowledge in data governance, security, and compliance in cloud environments 7 Years of 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 7 Years of Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project 7 Years of Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions 7 Years of 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 Years of Support application Kubernetes cluster and serverless infrastructure, help address any associated API s pertaining to cloud infrastructure services and integrations 7 Years of Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates 7 Years of 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 Years of Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools 7 Years of 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). 7 Years of Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects 7 Years of Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines 7 Years of Ability to lead and provide direction to team members 7 Years of Ability to lead the creation of best practices and procedures Preferred Skills:(Optional) 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 years+ Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers 8 years+ Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS 8 years+ Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform 8 years+ Knowledge, Experience and understanding of cloud-based network design principles 8 Years of 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 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 Years of 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 years+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments. 5 Years of Knowledge of AI services and configuration required to set up the service available from major cloud services providers. 5 Years of Knowledge of data pipelines, ETL processes, and big data frameworks

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