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Infrastructure Analyst Jobs in Austin, TX (NOW HIRING)

Seekr

Staff AI Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

Demonstrated ability to analyze, profile, and optimize AI systems for performance, scalability ... infrastructure leaders to enable AI solutions that drive real-world results with unmatched ...

Ci

Senior Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Participate in incident response, troubleshooting, root cause analysis, and remediation activities ... Monitor infrastructure recovery readiness and data protection controls. * Assist in ensuring ...

Atlas Energy Solutions

Sr. Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Drive strong troubleshooting and root-cause analysis across network, systems, cloud, and hybrid IT/OT connectivity to minimize downtime and resolve issues fast * Develop infrastructure standards and ...

Atlas Energy Solutions

Sr. Infrastructure Engineer

Austin, TX · Hybrid

$107K - $146K/yr

Drive strong troubleshooting and root-cause analysis across network, systems, cloud, and hybrid IT/OT connectivity to minimize downtime and resolve issues fast * Develop infrastructure standards and ...

Atlas Energy Solutions

Sr. Infrastructure Engineer

Austin, TX · Hybrid

$107K - $146K/yr

Drive strong troubleshooting and root-cause analysis across network, systems, cloud, and hybrid IT/OT connectivity to minimize downtime and resolve issues fast * Develop infrastructure standards and ...

Seekr

Manager, AI Infrastructure

Austin, TX · On-site

We are seeking an Infrastructure Manager with deep expertise in Kubernetes, Terraform, and Ansible ... End-to-end incident lifecycle, root cause analysis, corrective action ownership.

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All JobsInfrastructure Analyst JobsInfrastructure Analyst Jobs in Austin, TX

Infrastructure Analyst information

See Austin, TX salary details

$12

$45

$73

How much do infrastructure analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for infrastructure analyst in Austin, TX is $45.83, according to ZipRecruiter salary data. Most workers in this role earn between $36.68 and $54.09 per hour, depending on experience, location, and employer.

What is an infrastructure analyst?

An infrastructure analyst finds and fixes problems within an organization’s computer network. As an infrastructure analyst, your job duties include monitoring and assessing the systems and finding areas that need upgrading or improvement. You also focus on handling system emergencies, such as network communications errors, storage problems, and malfunctioning server platforms, to get the network working again as quickly as possible. Infrastructure analysts may operate as an employee of the company or as a consultant. To become an infrastructure analyst, you need a bachelor’s degree in computer science or a related field and several years of industry experience.

What are some common challenges infrastructure analysts face when supporting large-scale IT environments?

Infrastructure Analysts often encounter challenges such as managing multiple systems with varying technologies, ensuring minimal downtime during maintenance or upgrades, and addressing unexpected performance issues quickly. They must balance proactive monitoring with reactive troubleshooting, often collaborating closely with network engineers, security teams, and application support to resolve incidents efficiently. Staying up-to-date with evolving technologies and best practices is also essential for effectively supporting complex, enterprise-scale environments.

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

To thrive as an Infrastructure Analyst, you need a solid understanding of network architecture, operating systems, and IT infrastructure management, typically supported by a degree in computer science or a related field. Familiarity with tools such as VMware, Microsoft Azure, Active Directory, and relevant certifications like CompTIA Network+ or Microsoft Certified: Azure Administrator Associate is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and address technical challenges proactively. These skills and qualifications are essential to ensure reliable, secure, and efficient IT operations that support organizational goals.

What is the difference between Infrastructure Analyst vs Network Administrator?

AspectInfrastructure AnalystNetwork Administrator
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Microsoft certifications
Work EnvironmentData centers, enterprise IT teams, project-based settingsNetwork operations centers, corporate offices, troubleshooting environments
Employer & Industry UsageIT consulting firms, large corporations, government agenciesBusinesses with extensive network infrastructure, telecom companies

Both roles require similar certifications and often work in enterprise IT environments. However, Infrastructure Analysts focus on overall system infrastructure, including servers and storage, while Network Administrators specialize in managing and maintaining network hardware and connectivity. The roles are complementary but distinct in their primary focus areas.

More about Infrastructure Analyst jobs

What are popular job titles related to Infrastructure Analyst jobs in Austin, TX?

For Infrastructure Analyst jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Infrastructure Analyst jobs in Austin, TX look for?

The top searched job categories for Infrastructure Analyst jobs in Austin, TX are:

Infrastructure Analyst jobs near you
Infographic showing various Infrastructure Analyst job openings in Austin, TX as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,326 per year, or $45.8 per hour.

Staff AI Infrastructure Engineer

Seekr

Austin, TX • On-site

$106K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.
You will work across distributed systems, Kubernetes, GPU infrastructure, high-performance inference, and enterprise AI platforms to build secure, scalable, and highly reliable systems capable of serving workloads ranging from edge AI deployments to trillion-parameter foundation models.
This role requires deep expertise in distributed systems, cloud-native infrastructure, AI platform engineering, and production software development. You will collaborate with research scientists, software engineers, product teams, and infrastructure engineers to define the architecture and technical direction of Seekr's AI platform.
Duties and Responsibilities
  • Design, develop, deploy, and maintain production AI infrastructure supporting model training, fine-tuning, inference, evaluation, and agentic AI workloads.
  • Design and operate scalable Kubernetes-based infrastructure supporting GPU-accelerated workloads across cloud, on-premises, hybrid, and edge environments.
  • Architect and optimize high-performance inference platforms capable of serving models ranging from resource-constrained edge deployments to trillion-parameter foundation models, with a focus on latency, throughput, scalability, reliability, and cost efficiency.
  • Build and maintain distributed systems that enable reliable scheduling, orchestration, deployment, monitoring, and lifecycle management of AI workloads.
  • Develop enterprise platforms supporting autonomous and multi-agent AI systems, including secure tool execution, orchestration, memory, evaluation, governance, and observability.
  • Design, implement, and automate AI infrastructure using Infrastructure-as-Code, GitOps, CI/CD pipelines, and modern software engineering practices.
  • Evaluate and integrate emerging AI infrastructure technologies, model serving frameworks, hardware accelerators, and cloud-native platforms to improve platform performance, scalability, and reliability.
  • Collaborate with engineering, research, product, and cross-functional teams to deliver secure, scalable, and production-ready AI platforms.
  • Lead technical design discussions, perform architecture reviews, mentor engineers, and establish engineering standards and best practices across the AI Infrastructure organization.
  • Participate in production support activities, including troubleshooting complex distributed systems, performance tuning, incident response, and continuous operational improvement.

Skills and Qualifications
  • 8-12+ years of professional software engineering experience building distributed systems, cloud infrastructure, or large-scale platform services
  • Architects systems, drives technical direction cross-functionally
  • 4 year or higher degree or additional relevant experience, in addition to years of work experience
  • Demonstrated success designing and operating production Kubernetes environments supporting cloud-native applications and distributed services.
  • Strong software engineering skills using Python and one or more modern programming languages such as Go, Rust, or C++.
  • Proven ability to design, build, and operate production AI or machine learning infrastructure.
  • Expertise developing and optimizing large-scale AI inference platforms, including GPU utilization, distributed inference, batching, caching, quantization, and accelerator performance.
  • Familiarity with modern AI serving technologies such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar platforms.
  • Knowledge of distributed computing, networking, storage systems, cloud-native architectures, and infrastructure automation using technologies such as Kubernetes, Helm, Argo CD, Docker, Prometheus, Grafana, OpenTelemetry, and Infrastructure-as-Code tools.
  • Experience developing enterprise AI platforms, autonomous agents, or multi-agent systems, including orchestration, tool execution, governance, observability, and evaluation.
  • Familiarity with event-driven architectures, distributed messaging systems, and public cloud platforms including AWS, Azure, Oracle Cloud Infrastructure, or Google Cloud Platform.
  • Demonstrated technical leadership, including driving architectural decisions, mentoring engineers, and leading complex technical initiatives across cross-functional teams.
  • Demonstrated ability to analyze, profile, and optimize AI systems for performance, scalability, reliability, and cost across distributed compute environments.

About the Company:
Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society's most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission:
  • We are driven by outcomes-our customers' success is what we strive for every day.
  • We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
  • We take our responsibility to deliver secure AI seriously.
  • We believe innovation drives progress-we are building the technologies that power the systems our society depends on.

Company Benefits:
  • Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
  • Equity Ownership - RSUs that let you share directly in Seekr's long-term success and growth.
  • Time Off That Respects Real Life - Unlimited PTO plus 14 paid company holidays to truly recharge.
  • Work Your Way - A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
  • Competitive Total Rewards - A role-appropriate compensation structure that supports long-term growth, including base salary, bonuses, or commission plans depending on role.
  • 401(k) with Company Match - Build your future with a retirement plan that includes employer matching.
  • Comprehensive Health & Wellness - Medical, dental, vision, and life insurance coverage starting day one-for you and your family.
  • Parental Leave - Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

Important Notice:
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.
Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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