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Daniel Thomas

Daniel Thomas

Senior Platform Engineer with 12+ years of experience delivering reliable self-service infrastructure for developer and ML-serving platforms

Talent
DeltonaMember since September 28, 2026
AWSTerraformAnsibleKubernetesDockerHelmGitHub ActionsJenkinsArgoCDGitOpsInfrastructure AutomationPythonPrometheusGrafanaPostgreSQLRedisAPI ServicesREST APIsIAMSecrets ManagementML InfrastructureModel DeploymentMLOps
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AWSTerraformAnsibleKubernetesDocker

About

Senior Platform Engineer with 12+ years of experience delivering reliable self-service infrastructure for developer and ML-serving platforms. Brings hands-on strength in Kubernetes, GCP, and cloud-native operations, with a track record of improving deployment workflows, production reliability, and platform usability through automation, observability, and close partnership with internal engineering teams.

Experience

Senior Platform Engineer - Baseten - San Francisco, California

(2022-12 - 2026-09)

  • Designed and evolved a highly available Kubernetes platform on GCP for model-serving workloads, enabling repeatable deployment and operation of cloud-native services across shared infrastructure.
  • Built infrastructure automation in Terraform and Python to provision GCP environments, standardize service dependencies, and reduce manual configuration drift.
  • Developed internal API services and deployment tooling for model deployment workflows, giving product and ML teams clearer paths to publish and operate inference services.
  • Implemented reusable Helm deployment patterns and Kubernetes resource policies for microservices, improving consistency across application environments.
  • Automated delivery workflows through GitHub Actions and ArgoCD, connecting code changes to controlled GitOps-based deployments for platform and application services.
  • Strengthened GPU-backed ML infrastructure by defining container runtime, scheduling, and capacity patterns appropriate for production inference workloads.
  • Established production telemetry with Prometheus and Grafana, creating actionable dashboards and alerting for cluster capacity, service health, and model-serving operations.
  • Hardened platform access through IAM and secrets management practices, applying least-privilege controls to cloud resources and deployment automation.
  • Explored operational patterns for AI-enabled platform workflows while partnering with engineering teams to apply MLOps practices to model lifecycle needs.
  • Participated in Agile planning and on-call incident response, translating internal customer requirements into prioritized platform improvements and sharing operational knowledge with peers.

Senior DevOps Engineer - University of Tennessee - Knoxville, Tennessee

(2017-05 - 2022-12)

  • Led delivery of cloud and on-premises Kubernetes infrastructure, AWS services, and CI/CD capabilities supporting university application and research teams.
  • Automated environment provisioning through Terraform and Ansible, improving repeatability for Linux-based application infrastructure and reducing configuration variance.
  • Built and maintained Jenkins pipelines for application build, test, and deployment workflows across internal services.
  • Containerized application workloads with Docker and deployed them through Helm-managed Kubernetes configurations to standardize runtime operations.
  • Administered Linux systems and shell automation for service maintenance, patching, scheduled jobs, and operational troubleshooting.
  • Supported data-backed application services using PostgreSQL and Redis, coordinating reliable configuration, backup, and access practices.
  • Implemented monitoring dashboards and alerting with Prometheus and Grafana, improving visibility into infrastructure health and service performance.
  • Collaborated in Agile/Scrum delivery cycles with application and research stakeholders, using automation and AI/ML platform concepts to support evolving compute and data-pipeline needs.

Application Developer - Roane State Community College - Harriman, Tennessee

(2014-01 - 2017-05)

  • Developed and maintained internal web application services using REST APIs and PostgreSQL to support college operational workflows.
  • Built backend integrations in Python and shell scripts, automating routine data exchange and administrative processing tasks.
  • Improved application deployment consistency by introducing Git-based release practices and Linux environment configuration standards.
  • Supported database reliability through PostgreSQL query maintenance, backup coordination, and troubleshooting of application data issues.
  • Partnered with campus stakeholders to gather requirements, test releases, and resolve production issues across student- and staff-facing systems.

Education

Bachelor of Science - Computer Science - University of Tennessee, Knoxville (2009-08 - 2013-05)

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