Position Purpose: The Cloud Platform Engineer I is a position for a motivated developer who will be joining our engineering team and help design, develop, and operationalize AI-enabled applications and solutions. This role is ideal for an early-career software engineer who has strong programming fundamentals and practical exposure to Cloud technologies, Large Language Models (LLMs), and machine learning through academic work, internships, personal projects, or professional experience. The successful candidate will work alongside software engineers, AI engineers, architects, and product teams to incorporate AI capabilities into enterprise applications, developer workflows, and business processes. Develop, manage, and administer cloud infrastructure as code on the cloud platform (e.g. AWS, or Azure). Ensures security of cloud components, review reported vulnerabilities and remediate within SLA. Follow Centene audit standards, controls, and processes to monitor and optimize cloud infrastructure. Maintains up-to-date knowledge of cloud products, technology, and best practices. Executes code-based CI/CD deployment plans for new and existing infrastructure based on standards and best-practices provided Build AI agentic solution using Large Language Models, Machine Learning, Generative AI. Write production-quality code with appropriate tests and documentation. Progress from prototype development toward deploying and supporting production AI capabilities. Partner with the other teams to manage enhancements, and software migrations to drive the successful deployment of cloud infrastructure and applications. Communicates regularly with Development, Network and Security groups and integrate their requirements in all environments build plans Builds and maintains capacity plans to include cloud-based deployments Develops and implement technical efforts to design, build, and deploy cloud applications at the direction of lead architects, including large-scale data processing and advanced analytics Delivers continuous integration and delivery pipeline and standards by enabling common DevSecOps tooling in cloud environment and providing development teams with the ability to execute builds, run tests, and deploy in automated fashion Complies with all policies and standards A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 0 – 2 years of related experience. 0-2 years experience with Python through coursework, internships, research, professional work, or personal projects.
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