AI Systems Engineer

La Familia Medical Center

Miami, FL, United States

14 days ago

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Role details

Contract type

Permanent contract

Employment type

Part-time / full-time

Compensation

$77,854.0 - $93,766.0

Working hours

Shift work

Job source

www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Bash Shell Software as a Service Cloud Computing Databases Continuous Integration Linux Distributed Systems

+47 more

Infrastructure as a Service (IaaS) Identity and Access Management Virtual Private Networks (VPN) Python (Programming Language) PostgreSQL Machine Learning Microsoft SQL Server MongoDB MySQL Citrix Systems Node.Js NoSQL OpenStack Oracle (Applications) Platform as a Service (PAAS) Performance Tuning Windows PowerShell Ruby on Rails Cloud Services Ansible Service-Oriented Architecture Software Engineering Data Streaming Systems Architecture Virtualization Technology Web Services Google Cloud Enterprise Software Applications Cloud Platform System Delivery Pipeline Software Security Infrastructure as Code (IaC) Git Containerization Kubernetes Information Technology Deployment Automation Cassandra Virtual Agents Puppet Restful APIs Terraform Virtual Private Clouds Docker Jenkins Golang Vmware

Job description

Design and develop scalable AI systems leveraging cloud computing platforms such as AWS, Google Cloud Platform, and OpenStack to support enterprise-level applications.
Implement Infrastructure as Code (IaC) using tools like Terraform, Ansible, and Puppet to automate deployment processes and manage cloud infrastructure efficiently.
Develop and maintain microservices architectures utilizing containerization technologies such as Docker and Kubernetes to ensure system scalability and resilience.
Integrate various cloud services including S3 storage, Virtual Private Clouds (VPCs), SaaS, PaaS, and IaaS solutions to optimize data flow and system performance.
Collaborate with software developers to build RESTful APIs and web services that facilitate seamless communication between AI models and client applications.
Manage identity and access management (IAM) solutions to ensure secure access controls across cloud environments.
Conduct system hardening, security assessments, and performance tuning to uphold high standards of reliability, security, and compliance within cloud infrastructure.

Requirements

Proven experience in managing IT infrastructure within cloud environments such as AWS, Azure, Google Cloud Platform, Rackspace, or Citrix.
Strong knowledge of service-oriented architecture (SOA), distributed systems, virtualization technologies like VMware, and cloud management tools.
Proficiency in programming languages including Python, Java, Go, Ruby on Rails, PowerShell, Bash scripting, or Node.js for software development and automation tasks.
Hands-on experience with container orchestration platforms such as Kubernetes and Docker for deploying scalable applications.
Familiarity with database management systems including MySQL, PostgreSQL, Oracle, Microsoft SQL Server, NoSQL databases like Cassandra or MongoDB.
Expertise in DevOps automation practices involving Jenkins, Git version control system, CI/CD pipelines, Terraform, Ansible, Chef, Puppet for continuous integration and deployment workflows.
Knowledge of operating systems including Linux/Unix/Windows environments along with virtualization techniques like Virtual Private Clouds (VPCs) and VPNs for secure connectivity.
Strong understanding of computer science fundamentals related to algorithms, system architecture design, REST APIs, web services development, and application security best practices.

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