Cloud Solutions Architect 2 || Hybrid - On Site - In person - Austin, TX || Client: HHSC

Speridian Technologies; Austin (TX); Hybrid; USD 140,000 - 170,000; Full time

Job summary

HHSC seeks a Cloud Solutions Architect 2 to lead cloud strategy across multiple platforms in a hybrid Austin environment. You will shape cloud governance, design scalable architectures, and guide teams through DevOps, automation, and secure cloud service deployments.

This role emphasizes strong modeling, technical writing, and collaboration across agencies. The ideal candidate brings hands-on cloud experience, excellent problem-solving, and the ability to manage several priorities under pressure

Qualifications

• Experience with cloud technologies across AWS, Azure, or GCP.
• Familiarity with PaaS, SaaS, and IaaS delivery models.
• Proficient in Agile/Scrum practices and ceremonies.
• Hands-on with DevOps, CI/CD, and containerization.
• Knowledge of Kubernetes architecture, deployment, and maintenance.
• Experience with IaC tools like Terraform, Ansible, or similar.

Skills

Cloud technologies

Cloud platforms

Cloud delivery models

Agile (scrum)

DevOps CI/CD

Kubernetes

Infrastructure as code

Shell scripting

Data governance & security

Technical writing

Diagramming & Visio

MS Office

MS Project

Cross-team leadership

Problem solving

Tools

Visio

Microsoft Office

MS Project

Job description

Job Description

Job Title: Cloud Solutions Architect 2

Location: Hybrid – On Site - In person - Austin, TX 78751

Client: HHSC

Minimum Requirements:

REQUIRED CANDIDATE SKILLS AND QUALIFICATIONS

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.

Years

Experience

• Required 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.
• Required 7 Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
• Required 7 Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
• Required 7 Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies.
• Required 7 Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP
• Required 7 Knowledge, Experience and understanding of cloud-based network design principles
• Required 7 Strong knowledge in data governance, security, and compliance in cloud environments
• Required 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
• Required 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
• Required 7 Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions
• Required 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
• Required 7 Support application Kubernetes cluster and serverless infrastructure, help address any associated API’s pertaining to cloud infrastructure services and integrations
• Required 7 Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates
• Required 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.).
• Required 7 Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools
• Required 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).
• Required 7 Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects
• Required 7 Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines
• Required 7 Ability to lead and provide direction to team members
• Required 8 Ability to lead the creation of best practices and procedures

• Preferred 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.
• Preferred 8 Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
• Preferred 8 Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
• Preferred 8 Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP
• Preferred 8 Knowledge, Experience and understanding of cloud-based network design principles
• Preferred 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
• Preferred 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.
• Preferred 8 years+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.
• Preferred 5 Knowledge of AI services and configuration required to set up the service available from major cloud services providers.
• Preferred Knowledge of data pipelines, ETL processes, and big data frameworks