Pat Clark

Senior Site Reliability Engineer / Senior Platform Engineer with 12+ years of experience building and operating reliable cloud platforms for regulated healthcare, real estate technology, consulting, and automotive environments. Brings hands-on Kubernetes and cloud infrastructure expertise, operational discipline, and a collaborative approach to enabling development teams through reusable platform patterns, automation, observability, and incident readiness. Experienced in guiding infrastructure decisions, supporting highly available services, and sharing practical operational knowledge across remote engineering teams.

Senior Site Reliability Engineer / Senior Platform Engineer at Baylor Genetics (2025-02 – 2026-08)

• Designed and operated a secure, highly available Kubernetes platform on AWS for genomics and clinical-data workloads, strengthening the foundation for repeatable service delivery in a regulated healthcare environment.
• Built reusable platform automation in Python and Bash to standardize operational tasks for containerized services and reduce manual runbook effort.
• Established cloud-native deployment patterns with ArgoCD and GitOps, giving application teams a consistent path to promote Kubernetes configuration through controlled environments.
• Provisioned repeatable infrastructure with Terraform and Infrastructure as Code, improving environment consistency for services supporting sensitive genetic-testing workflows.
• Maintained Linux-based production systems, including capacity review, configuration troubleshooting, and operational support for distributed microservices.
• Implemented service telemetry through Prometheus and Grafana, creating actionable dashboards and alerting for platform health, workload behavior, and infrastructure capacity.
• Participated in an on-call rotation for business-critical production alerts, applying incident management and root cause analysis practices to restore service and document follow-up actions.
• Partnered with internal engineering teams to translate service-operability needs into reusable Kubernetes API patterns and platform guardrails.
• Evaluated AI-assisted operational workflows for incident triage and knowledge retrieval, with attention to protecting clinical context and maintaining human review of recommendations.
• Collaborated in Agile/Scrum planning and retrospectives with engineering stakeholders, helping prioritize reliability work alongside feature delivery and share operational learning across teams.

Senior DevOps Engineer at Stavvy (2022-08 – 2025-01)

• Supported the delivery and operation of AWS, Kubernetes, and CI/CD capabilities for a real-estate closing platform, helping product teams deploy and run secure customer-facing services.
• Automated infrastructure provisioning with Terraform and AWS services, creating repeatable environments for distributed application workloads.
• Developed deployment workflows in GitHub Actions and Docker-based build processes to improve consistency from code change through production release.
• Configured monitoring and operational dashboards with Prometheus and Grafana, enabling teams to investigate service health and capacity signals during releases and incidents.
• Improved deployment reliability by applying GitOps practices and ArgoCD-managed Kubernetes configuration across application environments.
• Participated in production on-call support, using incident management and RCA practices to coordinate response, identify contributing conditions, and track remediation work.
• Explored AI-assisted approaches for summarizing alerts and surfacing operational context, while retaining engineer validation for production decisions.
• Worked within Agile/Scrum ceremonies alongside product and engineering teams to prioritize platform work, clarify operational requirements, and share deployment guidance.

Cloud Infrastructure Engineer at Terazo (2021-06 – 2022-08)

• Delivered cloud infrastructure solutions using AWS, Terraform, and Kubernetes for client teams adopting scalable, containerized application architectures.
• Built reusable Infrastructure as Code modules to help client engagements provision environments with consistent networking, compute, and access patterns.
• Containerized application workloads with Docker and supported Kubernetes deployments for services moving toward cloud-native operating models.
• Implemented CI/CD automation through Jenkins and Git-based workflows, reducing manual deployment steps for client delivery teams.
• Supported Linux-based systems and cloud troubleshooting using Python and Bash scripts for repeatable administrative and diagnostic tasks.
• Introduced monitoring practices with Prometheus and Grafana to help teams observe application behavior, infrastructure health, and service-level risks.

Software Engineer / Team Lead at General Motors (2014-06 – 2021-06)

• Led software delivery for automotive-focused systems, combining Linux, CI/CD, and microservices practices to support dependable internal and customer-facing capabilities.
• Developed automation utilities in Python and Bash to streamline recurring build, deployment, and environment-support activities.
• Supported containerized services using Docker, helping teams package applications consistently across development and test environments.
• Maintained build and release pipelines in Jenkins, coordinating deployments and resolving integration issues with development teams.
• Contributed to production support through incident management and root cause analysis, documenting corrective actions for recurring operational problems.
• Guided team members through Agile delivery practices, code-review expectations, and practical approaches to operating services in shared environments.

Bachelor's degree in Computer Science – Indiana University Bloomington (2010-08 – 2014-05)