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Cloud DevOps Engineer

  • Job type Posted on: Jul 04, 2026
  • Experience level eTeam
  • Employment type Dallas, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Cloud DevOps Engineer

Job Type :

Full-time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Cloud DevOps Engineer Location: Dallas, TX 75202 (Onsite) Duration: 24 Months Interview Process (Is face to face required): Yes (2nd round) Must Have Skills: Azure Devops Nice to Have Skills: AI Detailed Job Description: Experienced Cloud DevOps Engineer with expertise in cloud infrastructure, automation, and application deployment. Strong knowledge of Azure, AWS, CI/CD pipelines, and Infrastructure as Code (IaC). Hands-on experience with Docker, Kubernetes, and cloud-native technologies. Skilled in automating deployments and operational processes using scripting tools. Proficient in monitoring, troubleshooting, and optimizing cloud environments. Experience working with DevOps, development, and business teams in Agile environments. Strong background in data analytics, reporting, and dashboard development. Expertise in SQL, Python, and data-driven decision-making. Familiar with AI-enabled cloud solutions and modern technology platforms. Proven ability to deliver scalable, reliable, and automated enterprise solutions. Minimum Years of Experience: 7 years

Jobcon Logo Position Details

Posted:

Jul 04, 2026

Reference Number:

14660_4D6EA977BD535856ADB594CB8C5D20D0

Employment:

Full-time

Salary:

Not Available

City:

Dallas

Job Origin:

APPCAST_CPC

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Job Title: Cloud DevOps Engineer Location: Dallas, TX 75202 (Onsite) Duration: 24 Months Interview Process (Is face to face required): Yes (2nd round) Must Have Skills: Azure Devops Nice to Have Skills: AI Detailed Job Description: Experienced Cloud DevOps Engineer with expertise in cloud infrastructure, automation, and application deployment. Strong knowledge of Azure, AWS, CI/CD pipelines, and Infrastructure as Code (IaC). Hands-on experience with Docker, Kubernetes, and cloud-native technologies. Skilled in automating deployments and operational processes using scripting tools. Proficient in monitoring, troubleshooting, and optimizing cloud environments. Experience working with DevOps, development, and business teams in Agile environments. Strong background in data analytics, reporting, and dashboard development. Expertise in SQL, Python, and data-driven decision-making. Familiar with AI-enabled cloud solutions and modern technology platforms. Proven ability to deliver scalable, reliable, and automated enterprise solutions. Minimum Years of Experience: 7 years

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