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Remote Observability Engineer Jobs in Georgetown, TX

DevOps Expert - Remote

Austin, TX ยท Remote

$30 - $80/hr

Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents * Workplace Connectors ... SRE, cloud, platform, or infrastructure engineering . * Hands-on experience with major cloud ...

New

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... CI/CD, and observability tools. * Experience with developer workflow and project management ...

New

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 ...

Sr Software Engineer, DevOps

Round Rock, TX ยท On-site +1

$49.25 - $67.50/hr

Will consider remote applicants for the right skillset. Position may be hybrid, with a blend of in ... Observability: Build the logging, metrics, tracing, and alerting layer so failures are detected and ...

New

This position is a remote role based in the US Company Overview Robots & Pencils is an applied AI ... Own observability strategy and production reliability practices * Lead the design and operation of ...

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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 29, 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 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 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 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:

Staff AI Observability & Telemetry Engineer (Remote)

Austin, TX โ€ข Remote

Full-time

Posted 4 days ago


Job description

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/

Position Overview

We are seeking a Staff AI Observability & Telemetry Engineer to architect the "nervous system" of our AI-native NeoCloud platform. This role goes beyond standard monitoring; you are responsible for building the high-fidelity perception layer required to orchestrate massive-scale AI infrastructure. You will capture, store, and make sense of millions of hardware and software signals per second, enabling our SREs, automated remediation agents, and external customers to peer deep into the performance of their GPU workloads and the underlying network fabric. You will define the telemetry standards that drive our autonomous operations, ensuring we can detect, diagnose, and resolve hardware and software bottlenecks in real-time.

Key Responsibilities

  • Architect and scale a high-cardinality telemetry infrastructure using highly available time-series databases (e.g., VictoriaMetrics, Thanos, or Mimir) capable of handling massive ingestion rates.
  • Integrate complex hardware-level exporters (NVIDIA DCGM, network switch telemetry, IPMI/Redfish) directly into the Kubernetes observability stack to provide a unified view of the cluster.
  • Build eBPF-based diagnostic tools to trace network congestion, kernel-level I/O latency, and distributed training bottlenecks across the cluster.
  • Develop automated dashboards and alerting pipelines that trigger proactive cordoning of degraded hardware before it impacts customer training jobs.
  • Design the metric pipelines required for accurate, multi-tenant consumption billing based on real-time GPU and network utilization metrics.
  • Collaborate with the GPU Systems and Scheduling teams to create observability standards for "AI-native" workloads, ensuring deep insight into job efficiency and resource utilization.
  • Lead technical design reviews for observability architecture, mentoring team members on best practices for high-performance telemetry collection and analysis.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 6+ years of software or site reliability engineering, with deep, hands-on expertise in the Prometheus/OpenTelemetry ecosystem.
  • Advanced proficiency in Go and extensive experience writing custom Kubernetes metric exporters and operators.
  • Hands-on experience with kernel-level tracing tools (eBPF, BCC) and deep performance tuning of Linux systems.
  • Strong familiarity with AI hardware metrics (GPU power states, SM utilization, memory bandwidth) and high-performance network telemetry.
  • Proven track record of operating, debugging, and scaling large-scale telemetry stacks in high-performance computing or cloud environments.
  • Strong technical leadership skills; ability to influence architectural decisions and align cross-functional teams around observability standards.
  • Excellent communication skills, with the ability to translate complex system requirements into manageable engineering milestones.
  • Experience working in high-velocity, high-growth engineering environments is strongly preferred.

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.