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Remote Reliability Engineer Jobs in Austin, TX (NOW HIRING)

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Remote Reliability Engineer information

See Austin, TX salary details

$60.5K

$116.9K

$139.8K

How much do remote reliability engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote reliability engineer in Austin, TX is $116,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $127,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Reliability Engineer vs Remote Site Reliability Engineer?

AspectRemote Reliability EngineerRemote Site Reliability Engineer
CredentialsTypically requires certifications like AWS Certified Solutions Architect, Linux Foundation certificationsSimilar credentials, often with additional focus on site-specific tools and monitoring
Work EnvironmentPrimarily remote, focusing on cloud infrastructure and system reliabilityRemote with some on-site responsibilities, focusing on infrastructure and operational stability
Industry UsageUsed across tech, cloud providers, SaaS companiesCommon in data centers, cloud providers, and large enterprise IT
Search & Comparison IntentOften compared due to overlapping roles in system reliability and cloud infrastructureCompared for on-site vs remote operational responsibilities

The main difference is that Remote Reliability Engineers focus on cloud and system reliability remotely, while Remote Site Reliability Engineers may have some on-site duties related to infrastructure. Both roles require similar skills and certifications but differ in their work environment and specific responsibilities.

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

To thrive as a Remote Reliability Engineer, you need a strong background in systems engineering, software development, and infrastructure management, often supported by a degree in computer science or a related field. Proficiency with cloud platforms (such as AWS, Azure, or GCP), monitoring tools (like Prometheus, Grafana), and relevant certifications (e.g., AWS Certified DevOps Engineer) is highly valuable. Excellent problem-solving, communication, and collaboration skills are crucial for working effectively across distributed teams and responding to incidents. These abilities ensure system reliability, quick incident resolution, and seamless remote teamwork, which are vital for maintaining high service uptime and user satisfaction.

How do Remote Reliability Engineers typically collaborate with on-site teams to address urgent technical issues?

Remote Reliability Engineers often utilize a combination of video conferencing, instant messaging, and collaborative monitoring tools to stay closely connected with on-site teams. When urgent technical issues arise, they participate in real-time troubleshooting sessions, analyze system logs remotely, and may guide on-site staff through step-by-step resolution procedures. Building strong communication channels and regular check-ins are essential to ensure swift and effective collaboration, even across different time zones. This structure allows Remote Reliability Engineers to contribute significantly to system uptime while working from a distance.

What is a Remote Reliability Engineer?

A Remote Reliability Engineer is a professional who works from a remote location to ensure that systems, applications, or infrastructure are reliable, available, and performing well. Their responsibilities typically include monitoring system health, diagnosing issues, implementing preventative measures, and collaborating with teams to improve system reliability. They often use tools for automation, incident response, and performance monitoring, all while working offsite. This role is critical in minimizing downtime and ensuring a smooth user experience, especially for companies with complex technical environments. Remote Reliability Engineers must have strong problem-solving skills and be proficient in cloud technologies, automation, and incident management.
What are the most commonly searched types of Reliability Engineer jobs in Austin, TX? The most popular types of Reliability Engineer jobs in Austin, TX are:
What are popular job titles related to Remote Reliability Engineer jobs in Austin, TX? For Remote Reliability Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Reliability Engineer jobs in Austin, TX look for? The top searched job categories for Remote Reliability Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Reliability Engineer jobs? Cities near Austin, TX with the most Remote Reliability Engineer job openings:

Principal Site Reliability Engineer (SRE)

INFINITE CHOICE LLC

Austin, TX • Remote

$180K - $210K/yr

Full-time

Posted 18 days ago


Job description

About the Role

We're seeking an exceptional Principal Site Reliability Engineer to architect, design, and build our SRE foundation from the ground up at InfiniteChoice. This is a rare greenfield opportunity to establish SRE practices, develop custom tooling, and create the reliability culture that will support our platform serving millions of users and billions in transaction volume.

As our Principal SRE, you'll combine deep technical expertise with strategic vision to build world-class monitoring, observability, and automation systems. You'll have the autonomy to define our SRE processes, select technologies, and create the framework that ensures our systems are reliable, scalable, and performant.

Location: Remote - US based

What You Will DoSRE Foundation & Process Development
  • Build SRE practices from scratch - define SLIs, SLOs, error budgets, and reliability metrics

  • Establish incident response procedures, on-call rotations, and post-mortem processes

  • Create reliability engineering standards and best practices across all engineering teams

  • Develop disaster recovery and business continuity strategies

  • Design and implement capacity planning and performance optimization frameworks

Architecture & Tool Development
  • Drive architecture decisions for comprehensive application and infrastructure monitoring solutions

  • Design and develop custom SRE tools for automated monitoring, alerting, and remediation

  • Build observability platforms that provide deep insights into system performance and user experience

  • Create automation frameworks for deployment, scaling, and incident response

  • Architect logging, metrics, and tracing systems for distributed microservices environments

Google Cloud Infrastructure Excellence
  • Leverage Google Cloud Platform services to build resilient, scalable infrastructure

  • Implement cloud-native monitoring using Stackdriver, Cloud Monitoring, and Cloud Logging

  • Design auto-scaling and self-healing systems using GKE, Cloud Functions, and managed services

  • Optimize cloud costs while maintaining high availability and performance standards

  • Establish security and compliance frameworks within GCP environments

Innovation & Continuous Improvement
  • Research and implement cutting-edge SRE tools and methodologies

  • Leverage AI and machine learning for predictive analytics, anomaly detection, and automated remediation

  • Create dashboards and reporting systems that provide actionable insights to engineering and business teams

  • Establish feedback loops for continuous improvement of reliability and performance

  • Stay current with industry best practices and emerging technologies in the SRE space

What You Must HaveSRE & Infrastructure Expertise
  • 12+ years of experience in Site Reliability Engineering or Infrastructure Engineering

  • 5+ years in lead SRE roles building and scaling SRE teams and processes

  • Proven track record designing and implementing monitoring and observability solutions at scale

  • Deep understanding of distributed systems, microservices architectures, and cloud-native patterns

  • Experience with infrastructure as code, configuration management, and deployment automation

Google Cloud Platform Proficiency
  • Hands-on experience with Google Cloud Platform is required

  • Expertise with GCP monitoring and observability stack (Cloud Monitoring, Cloud Logging, Cloud Trace)

  • Experience with GKE, Compute Engine, Cloud Functions, and other core GCP services

  • Knowledge of GCP networking, security, and compliance capabilities

  • Understanding of GCP cost optimization and resource management

Technical Skills
  • Strong programming skills in Python, Go, Java, or similar languages

  • Experience with monitoring tools (Prometheus, Grafana, Datadog, New Relic, or similar)

  • Proficiency with containerization (Docker, Kubernetes) and orchestration platforms

  • Knowledge of CI/CD pipelines, automated testing, and deployment strategies

  • Understanding of database performance tuning and optimization (SQL and NoSQL)

AI & Automation
  • Familiarity with AI-driven development tools and methodologies is a huge plus

  • Experience with machine learning for operations (AIOps), anomaly detection, or predictive analytics

  • Knowledge of automated incident response and self-healing systems

  • Understanding of AI/ML tools for log analysis, pattern recognition, and intelligent alerting

Problem-Solving & Mindset
  • Strong analytical and troubleshooting skills for complex distributed systems

  • Experience with high-pressure incident response and crisis management

  • Detail-oriented with commitment to operational excellence and continuous improvement

  • Comfortable with ambiguity and building processes in a fast-growing environment

  • Passion for reliability, automation, and engineering best practices

  • Demonstrated experience building SRE programs and processes from the ground up is a HUGE plus

Education
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience

  • Industry certifications (Google Cloud Professional, SRE or related certifications preferred)

What We Offer
  • Ground-floor opportunity to build SRE practices and culture from scratch

  • Full autonomy to define processes, select technologies, and establish best practices

  • Direct impact on platform reliability serving millions of users

  • Opportunity to create lasting engineering culture and operational excellence

  • Remote-first culture with in-person meeting in Dallas, TX on need basis

  • Collaborative environment with smart, passionate engineers and cross-functional teams

  • Access to cutting-edge technologies and AI-driven development tools

  • Competitive compensation, equity participation, and comprehensive benefits

Ready to Build World-Class Reliability?

Join us in creating the SRE foundation that will power InfiniteChoice's next phase of growth. If you're passionate about reliability engineering, love building systems from scratch, and want to establish the operational excellence that scales with our business, we'd love to hear from you.

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.


Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.


Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.