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Cloud Solutions Architect 2

Ardent Technologies, Inc.Austin, TX🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This hybrid role at Ardent Technologies offers significant career growth by allowing you to design and implement cutting-edge cloud solutions, leveraging your expertise to drive innovation. You'll thrive here if you're a proactive Cloud Solutions Architect passionate about making a tangible impact within a reputable company, so be sure to apply.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Austin, TX, United States
Posted
19 hours ago
DockerMicroservicesOracleRubySQLAWSETLScrumAgileAnsibleAzureBashGoogle CloudHelmKubernetesMicrosoft OfficePowerShellTerraform

Job Description

***3 days remote with 2 days (Thurs & Fri) onsite***

 

***Local to Austin, TX (50 miles) only and in-person interview***

 

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Actual Years Experience

Years Experience Needed

Required/
Preferred

Skills/Experience

 

7

Required

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

Required

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

 

7

Required

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

 

7

Required

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

 

7

Required

Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform

 

7

Required

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

 

7

Required

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

 

7

Required

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

Required

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

Required

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

 

7

Required

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).

 

7

Required

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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