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Google Site Reliability Engineer Jobs in Redmond, WA

SRE Engineer

Redmond, WA · On-site

$63.75 - $84.75/hr

Title: SRE Engineer Location: Redmond, WA Job Type: Contract / Full Time Responsibilities: * Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions * Monitor and ...

SRE Engineer -AI

Redmond, WA · On-site

$63.75 - $84.75/hr

Job Title : SRE Engineer Location: Redmond,WA Duration: 6 Months Experience: 10-22 Years Description: Responsibilities: Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG ...

Sr. SRE Consultant

Seattle, WA · On-site

$64.75 - $86.25/hr

Role: Sr. SRE (Very Strong Technical SRE) Location: Seattle, WA WFO: Mandatory (3 days/week) Short JD: * Job Summary/Role Description (General Information) * As a Senior Site Reliability Engineer ...

This SRE will configure, tune, and fix multi-tiered systems to achieve optimal application performance, stability and availability. We manage jobs as well as applications on bare-metal and cloud ...

Our SRE team combines software engineering, systems engineering, and Devops practices to build and run large-scale, massively distributed, fault-tolerant systems. Our software ensures that Apple ...

Site Reliability Engineer

Seattle, WA · On-site

$64.75 - $86.25/hr

At least experience in 2 of these languages is must - Requires 30% of work 4. Agile and project methodologies knowledge - 10% work As a Sr. Site Reliability Engineer - you will be responsible for the ...

SRE Migration Engineer

Seattle, WA · On-site

$64.75 - $86.25/hr

Required : • 5+ years of experience in a DevOps / SRE and Migration. • Provide operational support for the telemetry stack, observability stack in a Kubernetes environment. • Develop and ...

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Google Site Reliability Engineer information

See Redmond, WA salary details

$12

$71

$102

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

As of Sep 3, 2026, the average hourly pay for google site reliability engineer in Redmond, WA is $71.39, according to ZipRecruiter salary data. Most workers in this role earn between $61.39 and $81.59 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 job categories do people searching Google Site Reliability Engineer jobs in Redmond, WA look for?

The top searched job categories for Google Site Reliability Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Google Site Reliability Engineer jobs?

Cities near Redmond, WA with the most Google Site Reliability Engineer job openings:

Infographic showing various Google Site Reliability Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $148,486 per year, or $71.4 per hour.

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 8 days ago


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.