Platform Engineer

Role: Platform Engineer Type: Contract Duration: 6 – 12 Months Location: Houston (Preferred), Remote (US) is also fine Job Description: Seeking a Platform Engineer with strong Python skills to support Cloud and Data Platform project. Primary Responsibilities: Design, build, and deploy scalable software solutions across GCP and AWS, leveraging managed cloud services and best practices. Implement cloud-native (primarily GCP) software using serverless architectures and containerization technologies like Docker and Kubernetes. Document and support data and/or AI related software applications and components. Troubleshoot data and AI software and environment issues. Monitor and optimize data and inference pipelines to ensure optimal performance and resource utilization. Work closely and collaborate with other internal software development and support teams. Required Skills: 6+ years of full software development lifecycle (requirements, design, code, test, deploy, document, support) experience. Expertise in data warehousing and data lake concepts Deep understanding of and experience with object-oriented design and implementation techniques, and design patterns. API design and implementation experience. Deep cloud-centric (one or both Azure and GCP) software design, development, deployment, monitoring, and support experience. Good grasp of software scaling concepts and how to apply those concepts in a cloud-based environment. Strong Python programming experience. Knowledge of version control software and usage, ADO/git preferred. Self-starter who can work both independently (with minimal supervision) as well as within a collaborative team setting. Excellent communication and collaboration skills. Bonus Skills: Databricks/Spark experience. Good understanding and use of RDBMS-related technologies and techniques. Terraform scripting. Azure Dev Ops build and deployment pipeline YAML scripting. Required Education/Experience: Bachelors degree in information systems, computer science, or related technical field.