Texas Health and Human Services Commission
Performs highly complex computer systems analysis and cloud platform engineering work for the CTO team, with a focus on modernization, AI enablement, and secure DevOps automation. Work involves designing, building, automating, securing, and maintaining modern cloud infrastructure, CI/CD and GitOps deployment pipelines, container platforms, serverless services, observability tools, and reusable platform capabilities that support agency application modernization and AI workloads. The position supports infrastructure-as-code development, environment provisioning, secure model and application deployment patterns, MLOps/LLMOps readiness, monitoring, release automation, configuration management, security alignment, troubleshooting, disaster recovery planning, and coordination with application, data, AI, security, and operations teams to improve platform reliability, delivery speed, compliance, and business outcomes. Works under general supervision, with moderate latitude for the use of initiative and independent judgment.
Essential Job Functions (EJFs):
40%: Develops, maintains, and improves automated CI/CD and GitOps deployment processes using infrastructure-as-code templates, configuration scripts, reusable pipeline patterns, and provisioning code to accelerate cloud modernization, application migration, and AI-enabled solution delivery.
30%: Designs, modifies, and implements secure cloud-native platforms, container orchestration frameworks, cloud networking configurations, serverless compute services, and scalable hosting patterns for modern web services, data products, AI models, APIs, and automation workloads.
20%: Troubleshoots deployment pipelines, cloud security access policies, infrastructure bottlenecks, environment drift, observability gaps, and AI workload hosting issues to support reliable, secure, and scalable system availability.
5%: Assists development, data, and AI teams with environment automation, modernization readiness, secure deployment patterns, engineering diagrams, release documentation, rollback procedures, and operational runbooks.
5%: Performs other duties as assigned.
Knowledge, Skills, and Abilities (KSAs):
- Knowledge:
- Thorough knowledge of enterprise public cloud environments, such as AWS, Azure, and Google Cloud, including compute, storage, networking, identity access management, landing zones, and secure modernization patterns.
- Thorough knowledge of secure network topologies, including Virtual Private Clouds (VPCs), subnets, transit gateways, and firewall perimeter configurations.
- Thorough knowledge of containerization engines (Docker), enterprise container orchestration platforms (Kubernetes), and serverless compute services.
- Thorough knowledge of automated GitOps pipelines, configuration state controls, AI workload deployment concepts, MLOps/LLMOps practices, model versioning, monitoring, and production support considerations.
- Skills:
- Strong skill in drafting modular, production-ready infrastructure-as-code architectures using industry tools such as Terraform, Bicep, CloudFormation, Ansible, or equivalent automation frameworks.
- Strong skill in engineering resilient, secure CI/CD, GitOps, and release automation pipelines using GitHub Actions, GitLab CI, Azure Pipelines, or comparable enterprise DevOps platforms.
- Strong skill in establishing runtime observability frameworks using monitoring, logging, tracing, alerting, cost optimization, and cloud-native telemetry tools to support application, platform, and AI workload reliability.
- Abilities:
- Ability to diagnose and resolve pipeline build errors, configuration drift, cloud networking issues, access control problems, container runtime failures, and AI workload deployment or performance issues.
- Ability to draft disaster recovery processes, zero-downtime deployment approaches, rollback runbooks, environment promotion procedures, and operational standards for modernized applications and AI-enabled platforms.
- Ability to collaborate effectively with application, data, AI, cybersecurity, infrastructure, and operations teams to align modernization delivery with federal, state, and agency compliance requirements.