This is a contract position for a Senior Cloud Engineer focused on data platform infrastructure, based in Dallas, Texas. The role is for a 6+ month engagement and offers the opportunity to drive cloud platform modernization and build scalable, automated solutions for a data-focused organization.
Responsibilities
Design, build, and maintain cloud infrastructure on Google Cloud Platform using Terraform and Infrastructure-as-Code practices
Develop internal platform tooling, automation solutions, and operational support capabilities using Python
Drive the strategic transition from AWS to GCP, helping to modernize the platform architecture
Identify and automate repetitive operational tasks to improve platform reliability and reduce manual processes
Build and maintain scalable solutions that address the needs of data-focused end users
Collaborate with platform teams to support real-time data movement infrastructure, including Confluent and streaming technologies
Integrate AI-powered tools and automation into platform engineering workflows to enhance operational support
Qualifications
Required
Proficiency with Google Cloud Platform (GCP)
Strong experience with Terraform and Infrastructure-as-Code practices
Solid Python programming skills
Platform engineering mindset with demonstrated ability to think beyond support tickets, automate workflows, and design for scalability and operational excellence
Experience using AI tools and platforms (such as GitHub Copilot, Gemini Enterprise, or Vertex AI) in engineering workflows
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Preferred
Data engineering background or familiarity with data lakes, data governance, data storage lifecycle, and data consumption patterns
Experience with Kafka, Confluent Cloud, streaming architectures, and related connectors
Knowledge of Kubernetes and Google Kubernetes Engine (GKE)
Hands-on experience building AI-enabled tools or leveraging AI for operational automation
