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Remote Observability Engineer Jobs in Georgetown, TX

Sr DevOps Engineer T4

Austin, TX ยท Remote

$65 - $75/hr

Remote Start Date Is: ASAP Duration: 12 Month Contract (Potential Conversion After 1 Year ... Drive reliability, scalability, observability, and performance optimization initiatives * Serve as ...

Senior Data Engineer, Data Platform

Austin, TX ยท On-site +1

$113K - $136K/yr

You'll own high-impact platform components, improve pipeline reliability and observability, and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Data Platform Engineer

Austin, TX ยท On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Ensure system resilience, availability, and observability * Implement lifecycle management, backup ...

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Ensure system resilience, availability, and observability * Implement lifecycle management, backup ...

Data Platform Engineer

Austin, TX ยท On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Ensure system resilience, availability, and observability * Implement lifecycle management, backup ...

Senior Data Engineer, Data Platform

Austin, TX ยท Remote

$113K - $136K/yr

You'll own high-impact platform components, improve pipeline reliability and observability, and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Observability & Incident Response * Evolve our observability stack: logging, distributed tracing ...

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Showing results 1-20

Remote Observability Engineer information

See Georgetown, TX salary details

$35.3K

$107.7K

$177.9K

How much do remote observability engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote observability engineer in Georgetown, TX is $107,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $140,800.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a remote observability engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

What are the key skills and qualifications needed to thrive as a remote observability engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

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

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a remote observability engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What are popular job titles related to Remote Observability Engineer jobs in Georgetown, TX? For Remote Observability Engineer jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Observability Engineer jobs in Georgetown, TX look for? The top searched job categories for Remote Observability Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Observability Engineer jobs? Cities near Georgetown, TX with the most Remote Observability Engineer job openings:

Future Openings - SRE Support Engineer - Observability

Virtasant

Austin, TX โ€ข On-site, Remote

$56.50 - $75/hr

Full-time

Re-posted 28 days ago


Job description

SRE Support Engineer - Observability
While this position is not currently open, we are interviewing strong candidates for upcoming opportunities on this team.
Location: Remote | Time Zone: (US, Canada, Brazil, Chile, Colombia, Mexico) (8AM-5PM Pacific)
Freedom to grow. Power to deliver.
Virtasant is a global technology services company delivering large-scale cloud, data, and engineering solutions across 130+ countries. We partner with some of the world's largest organizations to help them build, operate, and scale internal platforms used by tens of thousands of engineers.
For this role, you will be supporting one of the most advanced internal developer platforms in the world, powering products used by hundreds of millions of people. The problems you will solve are deep, complex, and essential to keeping a global-scale organization moving.
Role Overview
The Observability & Tools Support Engineer provides high-impact technical support for customers of a large technology company's internal IaaS platform, with a focus on monitoring, alerting, telemetry, and operational tooling.
This role spans a wide range of support-from white-glove onboarding and end-to-end customer enablement, to deep technical troubleshooting across Linux, networking, and observability systems (especially Prometheus and AlertManager). You will also contribute to improving the support function itself: strengthening tooling, documentation, workflows, and feedback loops so the service scales.
Success depends on excellent troubleshooting, strong written communication, comfort working with highly technical customers, and the maturity to identify patterns and drive operational improvements beyond individual ticket resolution.
Business Outcome
Become a trusted frontline expert for the customer's observability ecosystem and operational tooling - delivering fast, accurate support across Slack and tickets, improving monitoring reliability, and reducing incident impact through better triage, troubleshooting, onboarding, and knowledge capture.
Success Measures
  • Healthy volume of threads and tickets handled with high-quality outcomes
  • Consistent achievement of time-based SLAs
  • High customer satisfaction through surveys
  • Accurate classification of issue type, severity, and recurring patterns
  • Reduced repeat issues through better docs, tooling, and scalable onboarding
What Will Be True When You Succeed
  • Customers can onboard smoothly to monitoring/alerting with minimal friction
  • Monitoring and alerting issues are resolved quickly, with fewer escalations
  • Linux and networking-related incidents reach resolution faster due to strong troubleshooting and clean handoffs
  • Engineering and SRE teams receive clear, actionable feedback based on real customer trends
  • Knowledge base content prevents tickets and accelerates self-service
Core Work Units
1) Frontline Support for Observability & Tooling
  • Manage Slack threads and tickets (roughly 50/50)
  • Handle a broad range of customer support: simple issue resolution through end-to-end onboarding
  • Provide clear, structured guidance to highly technical customers
  • Maintain strong attention to detail while managing multiple interactions in parallel

2) Deep-Dive Troubleshooting & Incident Support
  • Troubleshoot, isolate, and resolve monitoring and alerting issues (especially Prometheus + AlertManager)
  • Troubleshoot complex Linux and networking issues (TCP/IP fundamentals required)
  • Support OpenTelemetry, tracing, and telemetry pipelines, including investigation of gaps in signals and instrumentation
  • Drive incidents to resolution in partnership with Engineering/SRE teams

3) Documentation & Knowledge Development
  • Build and maintain customer-facing and internal knowledge base articles
  • Create informational posts for the community support platform
  • Turn repeated issues into reusable guides, checklists, and onboarding playbooks

4) Trend Analysis & Feedback to Engineering
  • Analyze and categorize customer interaction trends
  • Provide accurate, meaningful feedback to Engineering and SRE orgs to improve product/tooling
  • Identify "top offenders" and propose practical fixes (tooling, docs, process, product)

5) Operational Excellence & Continuous Improvement
  • Participate in post-mortem reviews and drive follow-through on improvements
  • Contribute meaningfully to team objectives and goals (process, tooling, and service scaling)
  • Bring creativity and discretion to resolve highly complex issues "outside the box"

High-Quality Work - what top performance looks like
Frontline Support
  • Moves smoothly from triage to deeper analysis without losing the customer
  • Communicates clearly and confidently with technical users
  • Maintains clean follow-ups and thread hygiene even with high context switching

Troubleshooting
  • Rapidly isolates issues across monitoring/alerting configs, Linux runtime behavior, and network connectivity
  • Uses structured approaches to incident handling: hypothesis โ†’ test โ†’ evidence โ†’ resolution
  • Produces high-signal writeups that accelerate downstream resolution

Documentation & Enablement
  • Documentation is clear enough that customers avoid opening tickets
  • Onboarding flows reduce time-to-value and prevent common misconfigurations
  • Captures "tribal knowledge" quickly and makes it reusable

Operational Excellence
  • Obsessing over details: correct severity, accurate tagging, clean timelines, strong handoffs
  • Spots patterns early and proactively proposes improvements that scale support

Typical Day / Work Patterns
  • ~50% Slack support, ~50% ticket handling
  • Deep-dive investigations during lower ticket volume periods
  • Documentation writing and lightweight tooling/process improvements when patterns emerge
  • Weekly team review of escalations, themes, and operational improvements
  • High rate of context switching and parallel issue management
Required Skills & Experience (Non-Negotiable)
  • Several years supporting highly scalable applications and web services
  • Hands-on experience with open-source observability and cloud-native tooling, including:
    • Kubernetes (and container fundamentals)
    • Prometheus and AlertManager troubleshooting
    • OpenTelemetry and distributed tracing concepts
  • Strong understanding of the Linux operating system (command line, process/network debugging, logs)
  • Good understanding of infrastructure observability principles (signals, alerting strategy, SLO thinking, noise reduction)
  • Good understanding of the TCP/IP suite and practical networking troubleshooting
  • Strong experience troubleshooting ambiguous, multi-layer issues
  • Excellent analytical capability and strong attention to detail
  • Strong written and verbal communication (clear, structured, customer-friendly)
  • Comfortable working with a very technical customer base
  • Passion for Technical Support and a service mindset
Nice-to-Haves
  • Experience improving or supporting internal support tooling or workflows (automation, templates, runbooks)
  • Experience operating at scale in a services environment (pattern detection, KPI/SLA awareness, operational process maturity)
  • Familiarity with Grafana, log aggregation, incident tooling, and production support practices
  • Prior SRE or platform support experience

Minimum Qualifications
  • 3-7+ years in Technical Support Engineering, SRE support, DevOps, Platform Support, or similar
  • Demonstrated experience supporting distributed systems, IaaS, or cloud platforms
  • Strong Linux, troubleshooting, and customer-facing communication background
  • Evidence of documentation, knowledge-base contributions, and process improvement mindset

Disqualifiers: weak Linux fundamentals, inability to troubleshoot systematically, poor written communication, or discomfort supporting highly technical users.
What You'll Love
  • Real technical problem solving with tangible customer impact
  • A role that blends deep troubleshooting with scaling support via docs, tooling, and process
  • High autonomy in a remote-first environment

What May Be Challenging
  • High context switching and managing multiple threads in parallel
  • Repeated patterns that require discipline to convert pain into scalable improvements
  • Supporting high-visibility systems where speed and accuracy matter

Differentiation
Industry: Remote-first, trust-based culture; global team; autonomy; modern systems; meaningful technical challenges
Internal: High-impact, customer-facing observability support; direct influence on tooling and process maturity; opportunity to shape scalable support practices
Our team Technology Operations Locations Brazil, Chile, Colombia, Mexico, Canada, USA Remote status Fully Remote