- Deep expertise in Azure and AWS cloud services (IaaS, PaaS, Serverless).
- Proficiency with Terraform, Ansible, YAML/JSON, and scripting (Bash, PowerShell, Cloud CLI).
- Strong experience with Kubernetes, Docker, and microservices deployment.
- Knowledge of cloud monitoring tools (CloudWatch, Azure Monitor, Dynatrace, Sysdig).
- Experience with cloud data services and DR strategies.
- Understanding security, compliance, and cost optimization in cloud environments.
- Highly organized, detail-oriented, and effective at communicating with both technical and non-technical teams.
- Knowledge and experience in solutioning, configuring, integrating, and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
- Experience and understanding of cloud computing, DevOps principles, and Continuous Integration/Continuous Design (CI/CD).
- Experience with Containerization, deploying, and configuring microservices.
- Kubernetes architecture deployment, scaling, and maintenance.
- Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
- Experience 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).
- Experience 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.).
- Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans, and protecting data for cloud disaster recovery.
- Knowledge and/or hands-on experience with cloud database services (RDBMS/NoSQL and SQL/Oracle), data lakes, and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
- Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, and Data Copy.
- Experience and understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy, and IT information security controls.
- Effective written and oral communication
- One or more Cloud certifications for Azure, AWS, Google, or Oracle Certified Engineer, Cloud Certified Solutions Architect, Data Architect, DevOps Engineer, and/or equivalent work experience
- Experience in solutioning, configuring, integrating, and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
- Highly organized, responsive, and highly detailed problem solver.
- Worked for or have experience with Texas Health and Human Services Commission or other Texas state IT agencies.