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Infrastructure Engineer Jobs in Houston, TX (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Houston, TX

$102K - $134K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

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Tmhcc

Systems Engineer Infrastructure

Houston, TX

$102K - $134K/yr

Systems Engineer, Infrastructure Location: Houston, TX (Hybrid 4:1) Reports To: Manager, Identity and Access Management Employment Type: Full time About Us Help us insure it. Tokio Marine HCC is a ...

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Infrastructure Engineer information

See Houston, TX salary details

$44.4K

$121.3K

$173.7K

How much do infrastructure engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for infrastructure engineer in Houston, TX is $121,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $134,600.00 per year, depending on experience, location, and employer.

What is an infrastructure engineer?

An infrastructure engineer ensures that their organization’s computer network infrastructure functions properly. As an infrastructure engineer, you monitor computer systems, improve IT applications, and troubleshoot infrastructure problems. Exact job responsibilities vary widely depending on the employer, but typical duties involve working with storage and hosting technologies, monitoring computer software and hardware, installing servers, and developing cloud-based infrastructure. Infrastructure engineer positions are available in all industries, especially those with a heavy reliance on technology. This career requires extensive experience working with computers and the ability to stay current with emerging technologies and trends.

What are the key skills and qualifications needed to thrive as an infrastructure engineer, and why are they important?

To thrive as an Infrastructure Engineer, you need a solid understanding of networking, operating systems, cloud platforms, and infrastructure architecture, often supported by a degree in computer science or related fields. Familiarity with tools like AWS, Azure, VMware, automation frameworks (e.g., Ansible, Terraform), and relevant certifications such as AWS Certified Solutions Architect or CompTIA Network+ is typical. Strong problem-solving, communication, and teamwork skills help you collaborate across IT and business units and respond effectively to incidents. These skills and qualities are crucial for ensuring system reliability, security, and scalability in complex technology environments.

What are some common challenges infrastructure engineers face when managing large-scale systems?

Infrastructure Engineers often encounter challenges such as ensuring system scalability, maintaining high availability, and minimizing downtime during updates or incidents. Managing complex environments requires balancing security, performance, and cost efficiency while supporting rapid growth or changes in business needs. Effective communication and collaboration with development, security, and operations teams are also crucial to address issues quickly and maintain seamless service delivery.

What is the difference between Infrastructure Engineer vs Network Engineer?

AspectInfrastructure EngineerNetwork Engineer
CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNPCompTIA Network+, Cisco CCNA, Cisco CCNP
Work EnvironmentData centers, cloud environments, enterprise IT infrastructureNetwork operations centers, enterprise networks, ISP environments
ResponsibilitiesDesigning, implementing, maintaining IT infrastructure, servers, cloud systemsDesigning, configuring, troubleshooting network hardware and connectivity
Industry UsageIT companies, cloud providers, large enterprisesTelecommunications, ISPs, large organizations with complex networks

While both roles require similar certifications and work in enterprise environments, Infrastructure Engineers focus on overall IT infrastructure including servers and cloud systems, whereas Network Engineers specialize in network hardware and connectivity. Understanding these differences helps in choosing the right career path or job search focus.

More about Infrastructure Engineer jobs

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

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

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

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

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

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

What cities near Houston, TX are hiring for Infrastructure Engineer jobs?

Cities near Houston, TX with the most Infrastructure Engineer job openings:

Infrastructure Engineer jobs near you
Infographic showing various Infrastructure Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,288 per year, or $58.3 per hour.

Agentic AI Infrastructure & Orchestration Engineer

Bay Area TeK Solutions LLC

Houston, TX • Remote

$110K - $144K/yr

Full-time

Re-posted 15 days ago

Job description

Overview

We are looking for a hands-on Agentic AI Infrastructure & Orchestration Engineer to design, develop, and optimize intelligent, self-operating multi-agent frameworks. The role combines deep system-level thinking, applied machine learning, and infrastructure engineering to enable scalable agentic AI ecosystems — integrating LLMs, vector databases, retrieval pipelines, and orchestration layers across cloud environments.

Key Responsibilities

· Architect and deploy agentic multi-agent AI frameworks.

· Develop scalable pipelines integrating LLM → RAG → VectorDB → Agents

· Build and deploy MCP server for Agentic AI Agents and Integration

· Build observability, latency optimization, and performance monitoring systems.

· Implement self-refine / feedback loop learning architectures.