Cloud Platform Engineer I

Centene Corporation

Alabama

Hybrid

USD 42.000 - 76.000

Vollzeit

vor 8 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health insurance
401K and stock purchase plans
Tuition reimbursement
Paid time off + holidays
Flexible schedules: remote, hybrid, or

Zusammenfassung

The Cloud Platform Engineer I at Centene Corporation contributes to designing, developing, and operationalizing AI-enabled applications and cloud infrastructure. You will work with software engineers, AI engineers, and product teams to integrate AI capabilities into enterprise solutions and automate deployment with CI/CD and DevSecOps practices.

Role targets early-career engineers with strong fundamentals in cloud tech, Python, ML, and LLMs; opportunities span both production and prototype

Qualifikationen

  • 0-2 years of experience with Python through coursework, internships, research, or projects.
  • Understanding of software engineering concepts including APIs, data structures, algorithms, databases, and version control.
  • Understanding of ML, Generative AI, and LLM platforms and APIs.
  • Experience building at least one AI/ML application or project through coursework, internships, hackathons, research, or open-source contributions.
  • Integrate AI models and services into applications using REST APIs, SDKs, and microservices.
  • Familiarity with Git/GitHub or GitLab.

Aufgaben

  • Develop, manage, and administer cloud infrastructure as code on the cloud platform (e.g. AWS, or Azure).
  • Ensure security of cloud components, review vulnerabilities and remediate within SLA.
  • Follow Centene audit standards, controls, and processes to monitor and optimize cloud infrastructure.
  • Maintain up-to-date knowledge of cloud products, technology, and best practices.
  • Execute CI/CD deployment plans for new and existing infrastructure based on standards and best practices.
  • Build AI agentic solutions using LLMs, ML, Generative AI.
  • Write production-quality code with tests and documentation.
  • Progress from prototype to production AI capabilities.
  • Collaborate with teams to manage enhancements and migrations for cloud deployments.
  • Communicate with Development, Network and Security groups; integrate requirements in build plans.
  • Build and maintain capacity plans for cloud deployments.
  • Design, build, and deploy cloud apps including data processing and analytics.
  • Deliver CI/CD pipelines and DevSecOps tooling across cloud environments.

Kenntnisse

Python programming
ML basics
REST APIs
Git workflows
Cloud concepts

Ausbildung

Bachelor's degree in CS/Engineering/Math

Tools

GitHub

Jobbeschreibung

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
  • Performs other duties as assigned
  • Complies with all policies and standards
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
  • Performs other duties as assigned
  • Complies with all policies and standards
Education/Experience

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.

Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Or completion of a Centene-sponsored emerging talent program.

Technical Skills
  • 0-2 years experience with Python through coursework, internships, research, professional work, or personal projects.
  • Understanding of fundamental software engineering concepts, including 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.
  • Integrate AI models and services into applications using REST APIs, SDKs, and microservices.
  • Familiarity with Git/GitHub or GitLab.

Pay Range: $30.58 - $55.09 per hour

At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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