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Entry Level Cloud Infrastructure Engineer Jobs in Houston, TX

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

New

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

... in cloud environments. This is an engineering-focused role, not research. We are looking for ... Containerize and deploy services using Docker and GPU-enabled infrastructure * Deploy AI workloads ...

DevOps Expert - Remote

Houston, TX · Remote

$30 - $80/hr

... , cloud, platform, or infrastructure engineering . * Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. * Experience with developer ...

New

Be Seen First

This is an Entry-Level position designed for a sharp, curious engineer who is ready to accelerate ... Cloud infrastructure to get the job done. What You'll Do * Support & Integrate: Assist in ...

You will design and implement scalable DevOps pipelines, cloud infrastructure automation, and site ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

New

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

The ideal candidate will have a strong background in Azure infrastructure , MLOps , and enterprise ... Collaborate with data science and cloud engineering teams to operationalize AI models Required ...

DevOps Engineer

Houston, TX · On-site

$100K - $165K/yr

Design, develop, and maintain the current Cloud infrastructure to support a live and dynamic environment. * Integrate tools and services related to DevOps into the Cloud infrastructure. * Develop ...

Junior Application Developer

Houston, TX · On-site

$64K - $83K/yr

Responsibilities Assists Development teams in the implementation of the DevOps chain Supports onboarding activities for applications moving to the cloud Helps support infrastructure for continuous ...

Junior Application Developer

Houston, TX · On-site

$64K - $83K/yr

Responsibilities • Assists Development teams in the implementation of the DevOps chain • Supports onboarding activities for applications moving to the cloud • Helps support infrastructure for ...

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Entry Level Cloud Infrastructure Engineer information

See Houston, TX salary details

$44.4K

$121.3K

$173.8K

How much do entry level cloud infrastructure engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for entry level cloud infrastructure engineer in Houston, TX is $121,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $134,700.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Cloud Infrastructure Engineer vs Cloud Systems Administrator?

AspectEntry Level Cloud Infrastructure EngineerCloud Systems Administrator
Required CertificationsCompTIA Cloud+, AWS Certified Cloud Practitioner (preferred)AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator
Work EnvironmentCloud platforms, virtual environments, cloud service providersOn-premises servers, cloud environments, network management
Employer & Industry UsageTech companies, cloud service providers, startupsEnterprises, managed service providers, IT departments

While both roles involve managing cloud resources, the Entry Level Cloud Infrastructure Engineer focuses on designing and deploying cloud solutions, whereas the Cloud Systems Administrator primarily manages and maintains existing cloud and on-premises systems. The engineer role emphasizes building infrastructure, while the administrator ensures operational stability.

Can I become an entry level cloud infrastructure engineer in 3 months?

Becoming an entry-level cloud infrastructure engineer in three months is challenging but possible with intensive study of cloud platforms like AWS, Azure, or Google Cloud, along with foundational knowledge of networking, Linux, and scripting. Gaining relevant certifications such as AWS Certified Cloud Practitioner or Microsoft Azure Fundamentals can also accelerate readiness, but practical experience and hands-on practice are essential for job competence.

What does an entry level cloud infrastructure engineer do?

An entry level cloud infrastructure engineer assists in designing, implementing, and maintaining cloud-based systems and networks. They often work with cloud platforms like AWS, Azure, or Google Cloud, and use tools such as scripting languages and automation to support scalable and secure cloud environments. This role typically involves learning about cloud architecture, security, and operational best practices.

What are the most commonly searched types of Cloud Infrastructure Engineer jobs in Houston, TX?

The most popular types of Cloud Infrastructure Engineer jobs in Houston, TX are:

What are popular job titles related to Entry Level Cloud Infrastructure Engineer jobs in Houston, TX?

For Entry Level Cloud Infrastructure Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Cloud Infrastructure Engineer jobs in Houston, TX look for?

The top searched job categories for Entry Level Cloud Infrastructure Engineer jobs in Houston, TX are:

Infographic showing various Entry Level Cloud Infrastructure Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,345 per year, or $58.3 per hour.

Infrastructure Expert - Remote

YO AI Labs

Houston, TX • Remote

$30 - $80/hr

Full-time

Posted yesterday

New


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.