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Cloud-Native Engineer

Diverse Lynx · Phoenix, AZ

100100

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Actively hiring

Posted 2 days ago · still listed on the employer's own board · How we score

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  • Posted 2 days ago
  • Still listed on the employer's own board
  • Publishes a salary range

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Cloud-Native Engineer at Diverse Lynx. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role Title

Cloud-Native Engineer

Location

Phoenix, AZ

Contract

Rate

- $45/hr

Job Description

We are looking for a Cloud-Native Engineer with experience in Python development, AWS/Eligible to workP, Kubernetes, containerization, DevOps automation, and CI/CD pipelines. The ideal candidate should also have exposure to Agentic AI and LLM integration frameworks.

Roles & Responsibilities

  • Design, develop, and maintain cloud-native solutions on AWS/Eligible to workP using modern software engineering practices.
  • Design containerized applications using Kubernetes, EKS, Docker, and related cloud-native technologies.
  • Implement Infrastructure as Code (IaC) and automate provisioning, deployment, and operational workflows.
  • Build and maintain CI/CD pipelines leveraging GitHub Actions, Jenkins, and related DevOps toolchains.
  • Collaborate with architects, product owners, and application teams to modernize workloads and adEligible to work cloud best practices.
  • Troubleshoot issues, Eligible to workimize application performance, and improve platform reliability.
  • Identify technical debt, drive continuous improvement initiatives, and evaluate emerging technologies in Cloud and AI.
  • Contribute to engineering standards, code reviews, documentation, and knowledge-sharing activities.
  • Work effectively both Consultantly and collaboratively within a global team environment.

Required Skills

  • Python Development
  • AWS / Eligible to workP
  • Kubernetes
  • Docker & Containerization
  • DevOps Automation
  • Terraform / Infrastructure as Code (IaC)
  • CI/CD Pipelines
  • GitHub Actions / Jenkins
  • Agentic AI
  • LLM Integration Frameworks

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