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Google Site Reliability Engineer Jobs in Texas (NOW HIRING)

Donato Technologies, Inc

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Site Reliability Engineer SRE - ML platform Location: Austin, TX OR Sunnyvale, CA Title: Site Reliability Engineer SRE - ML platform Responsibilities - * Continuous Deployment using GitHub Actions ...

Xforia, Inc.

Site Reliability Engineer

Austin, TX · On-site

$140K/yr

Title: Site Reliability Engineer SRE - ML platform Location: Austin, TX OR Sunnyvale, CA Type: FTE Salary/Rate : $140K Title: Site Reliability Engineer SRE - ML platform Responsibilities

InterSources Inc

SRE Engineer

Austin, TX · On-site

$56.50 - $75/hr

InterSources Inc is currently seeking a highly skilled SRE hands-on Lead Engineer with solid experience to help lead transformational initiatives within IT operations. In this role, you will design ...

BCForward

Site Reliability Engineer

Plano, TX · On-site

$55 - $60/hr

Site Reliability Engineer Location: Columbus, OH/Plano, TX or Tampa, FL Duration: Contract to hire 4 months We are seeking a Dev Ops Engineer (Intermediate) to join our team. The ideal candidate will ...

Vytwo

Senior SRE (Site Reliability Engineer)

Dallas, TX · On-site

$130 - $160/hr

Role: Senior SRE Engineer Location: Washington DC - Hybrid We are seeking a high-caliber Senior SRE Engineer to join a premier client in Washington, DC , to spearhead the evolution of their ...

Veloc Inc.

Senior Site Reliability Engineer

Coppell, TX · On-site

$53 - $70.50/hr

Senior Site Reliability Engineer -- combination of deep operational expertise and hands-on ... Strong experience operating workloads in cloud environments such as Microsoft Azure, AWS, or Google ...

Veloc Inc.

Senior Site Reliability Engineer

Coppell, TX · On-site

$53 - $70.50/hr

Senior Site Reliability Engineer -- combination of deep operational expertise and hands-on ... Strong experience operating workloads in cloud environments such as Microsoft Azure, AWS, or Google ...

Stefanini Group

Cloud Site Reliability Engineer

Dallas, TX · Remote

$56.50 - $75/hr

As a Senior Cloud Engineer in the Cloud SRE team, you will be responsible for designing and developing cloud solutions and engineering reliability tools for the Cloud Foundation Services (CFS ...

Stefanini Group

Cloud Site Reliability Engineer

Dallas, TX · Remote

$56.50 - $75/hr

As a Senior Cloud Engineer in the Cloud SRE team, you will be responsible for designing and developing cloud solutions and engineering reliability tools for the Cloud Foundation Services (CFS ...

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Google Site Reliability Engineer information

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How much do google site reliability engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for google site reliability engineer in Texas is $59.39, according to ZipRecruiter salary data. Most workers in this role earn between $51.06 and $67.84 per hour, depending on experience, location, and employer.

What is a Google Site Reliability Engineer?

Google Site Reliability Engineers (SREs) are specialized engineers responsible for ensuring the reliability, scalability, and performance of Google's infrastructure and services. They bridge the gap between software development and operations by automating tasks, monitoring systems, and responding to incidents. SREs work to minimize downtime, manage large-scale distributed systems, and implement best practices for reliability. Their work involves a combination of software engineering, system administration, and process improvement to support Google's products and users.

How does a Google Site Reliability Engineer typically collaborate with software development teams?

Google Site Reliability Engineers (SREs) work closely with software development teams to ensure that systems are reliable, scalable, and efficient. They participate in design reviews, provide feedback on system architecture with an emphasis on reliability, and help define service level objectives (SLOs) and monitoring standards. SREs often engage in incident response and post-mortem analysis alongside developers, fostering a culture of shared responsibility for uptime and performance. This collaboration helps bridge the gap between development and operations, promoting continuous improvement and rapid innovation.

What are the key skills and qualifications needed to thrive as a Google Site Reliability Engineer, and why are they important?

To thrive as a Google Site Reliability Engineer, you need a solid background in computer science, software engineering, and systems administration, often backed by a relevant degree or equivalent experience. Familiarity with programming languages (such as Python, Go, or Java), cloud platforms, configuration management tools, and monitoring systems is essential. Strong problem-solving abilities, effective communication, and a proactive mindset set exceptional SREs apart. These skills are crucial for ensuring the reliability, scalability, and efficiency of large-scale infrastructure and services.

What is the difference between Google Site Reliability Engineer vs DevOps Engineer?

AspectGoogle Site Reliability EngineerDevOps Engineer
CredentialsTypically requires computer science or engineering degree, experience with coding, systems, and cloud platformsOften has similar technical background, certifications like AWS, Azure, or Linux are common
Work EnvironmentFocuses on maintaining large-scale systems, reliability, and automation at GoogleWorks across development and operations teams to streamline deployment and infrastructure
Industry UsagePrimarily used within Google and similar large tech companiesWidely adopted across various industries for infrastructure and deployment automation

Google Site Reliability Engineers and DevOps Engineers share many skills, including scripting, cloud knowledge, and system management. However, SREs focus more on system reliability and scalability within large-scale environments like Google, while DevOps Engineers emphasize continuous integration, deployment, and collaboration across development and operations teams.

Is Google Site Reliability Engineer in demand?

The role of a Site Reliability Engineer at Google is highly in demand due to the increasing reliance on cloud services and large-scale infrastructure. SREs with skills in automation, monitoring, and cloud platforms are sought after across the tech industry, reflecting strong job growth in this field.

What are popular job titles related to Google Site Reliability Engineer jobs in Texas?

For Google Site Reliability Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Google Site Reliability Engineer jobs in Texas look for?

The top searched job categories for Google Site Reliability Engineer jobs in Texas are:

What cities in Texas are hiring for Google Site Reliability Engineer jobs?

Cities in Texas with the most Google Site Reliability Engineer job openings:

Google Site Reliability Engineer jobs near you
Infographic showing various Google Site Reliability Engineer job openings in Texas as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $123,522 per year, or $59.4 per hour.

Site Reliability Engineer

Donato Technologies, Inc

Austin, TX • On-site

$56.50 - $75/hr

Contractor

Re-posted 11 days ago

Job description

Title: Site Reliability Engineer SRE – ML platform

Location: Austin, TX OR Sunnyvale, CA

Title: Site Reliability Engineer SRE – ML platform 

Responsibilities –

  • Continuous  Deployment using GitHub Actions, Flux, Kustomize
  • Design and implement cloud solutions, build MLOps on cloud AWS
  • Data science model containerization, deployment using docker, VLLM, Kubernetes
  • Communicate with a team of data scientists, data engineers and architects, document the processes
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
  • Knowledge of ML models and LLM

Qualifications:

  • 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
  • Good understanding of Apache SOLR.
  • Proficient with Linux administration.
  • Knowledge of ML models and LLM.
  • Ability to understand tools used by data scientists and experience with software development and test automation
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
  • Experience working with cloud computing and database systems
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing and maintaining ML systems built with open-source tools
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
  • Experience developing containers and Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices
  • Good communication skills and ability to work in a team

Note: Focus is to have 60% SRE and 40% ML Ops…