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Cloud Platform Engineer I
Centene Corporation. Design, develop, and operationalize AI-enabled applications and solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI-enabled applications, managing cloud infrastructure on AWS or Azure, and implementing CI/CD deployment strategies. Proficient in integrating Machine Learning and Generative AI solutions while adhering to audit standards and optimizing cloud environments.
Highest-signal resume keywords
AI-Enabled Application DevelopmentCloud Infrastructure ManagementCI/CD DeploymentMachine Learning IntegrationPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine LearningGenerative AIAPIsData StructuresAlgorithmsDatabasesVersion ControlCloud Infrastructure as CodeProduction-Quality Code
Soft Skills
CommunicationCollaboration
Tools & Technologies
AWSAzureGitGitHubGitLab
Industry Keywords
DevSecOpsContinuous IntegrationContinuous DeliveryLarge Language ModelsCloud Applications
Tech Stack
Tools & technologiesAWSAzureCloudMicroservicesPython
About the role
Key responsibilities & impact- Design, develop, and operationalize AI-enabled applications and solutions
- Develop, manage, and administer cloud infrastructure as code on AWS or Azure
- Review reported cloud-component vulnerabilities and remediate them within SLA
- Follow audit standards, controls, and processes to monitor and optimize cloud infrastructure
- Maintain current knowledge of cloud products, technology, and best practices
- Execute code-based CI/CD deployment plans for new and existing infrastructure
- Build AI agentic solutions using Large Language Models, Machine Learning, and Generative AI
- Write production-quality code with appropriate tests and documentation
- Progress prototypes toward deploying and supporting production AI capabilities
- Partner with teams on enhancements and software migrations
- Communicate with Development, Network, and Security groups and integrate requirements into environment build plans
- Build and maintain capacity plans for cloud-based deployments
- Design, build, and deploy cloud applications, including large-scale data processing and advanced analytics, under lead architect direction
- Deliver continuous integration and delivery pipelines and DevSecOps standards and tooling
- Enable development teams to execute builds, run tests, and deploy automatically
- Perform other duties as assigned
- Comply with all policies and standards
Requirements
What you’ll need- Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and 0–2 years of related experience, or equivalent experience acquired through applicable knowledge, duties, scope and skill, or completion of a Centene-sponsored emerging talent program
- 0–2 years of experience with Python through coursework, internships, research, professional work, or personal projects
- Understanding of APIs, data structures, algorithms, databases, and version control
- Understanding of Machine Learning, Generative AI, and LLM platforms and APIs
- Experience building at least one AI/ML application or project through coursework, internships, hackathons, research, or independent development/open-source contributions
- Experience integrating AI models and services into applications using REST APIs, SDKs, and microservices
- Familiarity with Git/GitHub or GitLab
Benefits
Comp & perks- Health insurance
- 401K
- Stock purchase plans
- Tuition reimbursement
- Paid time off plus holidays
- Flexible approach to work with remote, hybrid, field or office work schedules
- Additional forms of incentives may be included in total compensation
- Equal opportunity employer committed to diversity