Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Austin, TX, United States
Posted
Yesterday
DockerMicroservicesOracleRubySQLAWSETLScrumAgileAnsibleAzureBashGoogle CloudHIPAAHelmKubernetesMicrosoft OfficePowerShellTerraform
Job Description
Job Title: Sr. Cloud Solutions Architect
Location: Austin, TX, (Hybrid)- 3 days remote with 2 days (Thurs & Fri) required to be onsite
Position Type: Contract
Interview Mode: Both MS Teams & In-person
Essential Job Functions (EJFs):
- (30%) Leads DCO Service Delivery strategic efforts supporting both project delivery and steady-state operations. Develops architectural blueprints, network topologies, and technical specifications that align business requirements with appropriate cloud services. Serves as a lead cloud engineer responsible for defining, guiding, and delivering technology initiatives and projects that address specific business needs. Performs advanced, senior-level computer systems analysis work, including hands-on planning, assessment of user requirements, review of procedures, and identification of system improvements. Work includes automating processes and enhancing existing systems, particularly those involving the transition from on-premises environments to public, private, or hybrid cloud platforms. Plans and schedules studies and system implementations and provides technical and business process guidance to support effective delivery.
- (25%) Drives and leads cross-functional initiatives involving agency systems, IT groups, and other state entities, requiring coordination, planning, and scheduling throughout project development and implementation. Evaluates and presents architectural options to support the selection and implementation of effective technology solutions. Implements Infrastructure as Code (IaC) and integration pipelines to streamline deployments, improve consistency, and efficiently scale resources. Designs and implements new or revised methods that effectively meet agency needs. Ensures solution designs comply with applicable data security requirements for each category of data contained within the solution. Establishes and enforces robust security measures, manages identity and access controls, and ensures systems align with applicable industry regulations, including HIPAA, as well as HHSC best practices.
- (15%) Designs, develop and administers highly scalable systems with core capabilities across cloud-based provider services. This includes reporting and full system integration.
- (15%) Leads and participates in solution implementation to include – coordinating and solving problems, analyzing systems and procedures, developing or revising existing code; scheduling, testing, installing, and implementing systems; writing or revising standards and procedures.
- (5%) Articulates the current state and desired state of a technical solutions, identifies gaps between the two states, and develops approaches to close any gaps. Collaborates with HHS IT groups on recommendations. Assists in the preparation of information technology planning and justification.
- (5%) Oversees the process of developing training for staff prior to implementation of a new technology or data analytics platform. May also conduct the training of technical staff and program staff on the use of the new tools, technologies, or application.
- (5%) Performs other duties as assigned.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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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.
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||
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Years
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Required/Preferred
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Experience
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7
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Required
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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.
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7
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Required
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Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
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7
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Required
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Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
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7
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Required
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Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies.
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7
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Required
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Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform
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7
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Required
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Knowledge, Experience and understanding of cloud-based network design principles
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7
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Required
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Strong knowledge in data governance, security, and compliance in cloud environments
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7
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Required
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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
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7
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Required
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Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project
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7
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Required
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Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions
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7
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Required
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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
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7
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Required
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Support application Kubernetes cluster and serverless infrastructure, help address any associated API’s pertaining to cloud infrastructure services and integrations
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7
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Required
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Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates
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7
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Required
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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.).
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7
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Required
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Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools
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7
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Required
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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).
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7
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Required
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Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects
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7
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Required
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Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines
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7
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Required
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Ability to lead and provide direction to team members
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7
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Required
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Ability to lead the creation of best practices and procedures
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8
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Preferred
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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.
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8
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Preferred
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8 years+ Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
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8
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Preferred
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8 years+ Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
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8
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Preferred
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8 years+ Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform
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8
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Preferred
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8 years+ Knowledge, Experience and understanding of cloud-based network design principles
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8
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Preferred
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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
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8
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Preferred
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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).
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8
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Preferred
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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.
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8
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Preferred
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8 years+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.
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5
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Preferred
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Knowledge of AI services and configuration required to set up the service available from major cloud services providers.
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5
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Preferred
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Knowledge of data pipelines, ETL processes, and big data frameworks
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