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Beyondsoft

Global IT services, software development, consulting

Cloud Solutions Architect

Cloud EngineeringConfirmed live in the last 24 hours
Full-timePlano, TX, USA

About the Job

Requirements

  • A bachelor's degree in Information Systems, Computer Science, or equivalent professional experience is required.
  • At least 8 years of experience designing and implementing large-scale, secure, and highly available cloud infrastructure and solutions.
  • At least 3 years of hands-on experience designing, building, and deploying cloud infrastructure on AWS; Microsoft Azure experience is preferred.
  • At least 3 years of experience designing and implementing CI/CD pipelines, infrastructure deployment automation, and integrated QA/testing workflows using tools such as Jenkins, AWS CodePipeline, CodeBuild, and CodeDeploy.
  • At least 2 years of experience implementing Infrastructure as Code and server provisioning automation using Terraform, CloudFormation, Ansible, Chef, or equivalent technologies.
  • At least 3 years of experience with Linux administration, server automation, and scripting.
  • Proficiency in Python, including experience developing AI-powered applications, APIs, and automation workflows.
  • Experience with version control systems such as Git, Bitbucket, or Subversion and application development using Agile methodologies.
  • Experience designing and implementing large-scale, high-availability applications and infrastructure.
  • Hands-on experience designing and implementing AI and Generative AI solutions using Large Language Models, Retrieval-Augmented Generation, AI agents, and prompt engineering.
  • Experience with cloud AI platforms such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Amazon SageMaker.
  • Experience integrating AI solutions with enterprise applications, APIs, databases, and cloud services.
  • Understanding of AI security, governance, data privacy, monitoring, and responsible AI practices.
  • Strong communication, presentation, and client-facing skills, with the ability to translate complex technical concepts into business solutions.

Responsibilities

  • Design, build, deploy, and support scalable and secure cloud solutions.
  • Lead client technical discussions, discovery sessions, and solution design.
  • Develop architecture designs, implementation plans, and technical documentation.
  • Build and automate cloud infrastructure using Infrastructure as Code, scripting, and CI/CD technologies.
  • Configure and integrate cloud services, networking, security, identity, monitoring, APIs, and automation.
  • Design and implement AI and Generative AI solutions, including LLMs, RAG, AI agents, APIs, and enterprise data integrations.
  • Build AI proofs of concept and support implementation into production environments.
  • Troubleshoot complex cloud, application, integration, and deployment issues.
  • Provide hands-on technical leadership and support to engineering and delivery teams.
  • Evaluate and implement new cloud, AI, automation, security, and monitoring technologies.
  • Support technical proposals, SOWs, solution demonstrations, and estimates.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience with Microsoft Azure.
  • Experience with AI development frameworks such as LangChain, LangGraph, or Semantic Kernel.
  • Experience deploying and supporting AI solutions in production environments.
  • AWS Certified DevOps Engineer – Professional or equivalent cloud architecture certification.

About the Company

Beyondsoft

Global IT services, software development, consulting

Beyondsoft is a global IT services and consulting firm that helps organizations digitally transform. It offers IT consulting, custom software development, cloud computing, big data analytics, and business process outsourcing, organized into Product and Solution, Research and Development Engineering, and IT Operation and Maintenance. Its large multinational delivery network across Asia, North America, and Europe, plus strong Microsoft partnerships (Azure Expert MSP and multiple Solutions Partner designations), set it apart and enable work with major enterprises like Microsoft, IBM, and Huawei. Its goal is to help clients improve operational performance and adopt modern technologies at scale through integrated technology solutions and AI- and cloud-enabled offerings.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Dongcheng District, China
Founded
1995

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