Cloud Infrastructure Architect

We are seeking a Cloud Infrastructure Architect to support our client in Austin, Texas on a hybrid schedule (2 days onsite/week). This role will focus on the design and architecture of IT modernization and transformation initiatives supporting Data Center Operations and enterprise Service Delivery programs.

You will lead architecture strategy and cross-functional workgroups, delivering high-quality solution designs that address organization-wide technology needs. You'll partner closely with Service Delivery leadership, the CTO, Enterprise Architects, portfolio managers, application development teams, business stakeholders, and other key partners. The ideal candidate is comfortable operating both independently and as part of a program team, and can apply Agile/Scrum practices to support application enhancements and infrastructure evolution.

Key Responsibilities

Requirements:

Yrs Experience

7 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 Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers

7 Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS

7 Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies.

7 Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP

7 Knowledge, Experience and understanding of cloud-based network design principles

7 Strong knowledge in data governance, security, and compliance in cloud environments

7 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 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 Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions

7 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 Support application Kubernetes cluster and serverless infrastructure, help address any associated API's pertaining to cloud infrastructure services and integrations

7 Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates

7 Experience and understanding with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).

7 Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools

7 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 Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects

7 Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines

7 Ability to lead and provide direction to team members

7 Ability to lead the creation of best practices and procedures

Preferred

Yrs Experience

8 + 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+ Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers

8+ Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS

8+ Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP

8+ Knowledge, Experience and understanding of cloud-based network design principles

8 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+ 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 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+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.

5 Knowledge of AI services and configuration required to set up the service available from major cloud services providers.

5 Knowledge of data pipelines, ETL processes, and big data frameworks