Cloud DevOps Engineer

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, 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.

• 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., * Graduation from an accredited four-year college or university with major coursework in computer science, information technology, cloud engineering, artificial intelligence, data engineering, cybersecurity, or a related field. Experience may substitute for education on a year-for-year basis.
• Minimum of 4 years of experience with cloud environments like AWS or Azure, ECT.
• Preferred experience with DevOps pipelines, platform automation, application modernization, or secure deployment patterns for cloud-native and AI-enabled workloads.

Additional Information:

Any employment offer is contingent upon available budgeted funds. The offered salary will be determined in accordance with budgetary limits and the requirements of HHSC Human Resources Manual.

Selected candidates must be legally authorized to work in the U.S. without sponsorship.

Selected candidate must be willing to commute to the office on the required days.

Pulled from the full job description

• Health insurance
• Pension plan
• Opportunities for advancement

Full job description

Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full-time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more. Explore more details on the Benefits of Working at HHS webpage.