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Remote Observability Engineer Jobs in Frisco, TX

Cisco

Leader, Solutions Engineer, Splunk

Dallas, TX · Remote

This role can be performed remote within the US Must be authorized to work in the United States ... Hands-on experience with Splunk Enterprise, Splunk Cloud, or ITSI/ES or Observability Experience ...

SupplyHouse

Principal Engineer

Dallas, TX · Remote

$50K - $60K/yr

Evaluate, recommend, and implement architectural improvements to enhance scalability, observability ... System Engineering & Optimization * Build and maintain distributed systems using Spring Boot ...

SupplyHouse

Principal Backend Engineer

Dallas, TX · Remote

$50K - $60K/yr

Evaluate, recommend, and implement architectural improvements to enhance scalability, observability ... System Engineering & Optimization * Build and maintain distributed systems using Spring Boot ...

Aperia

Full Stack Java Engineer (React)

Dallas, TX · On-site +1

Write and maintain unit and integration tests (JUnit, Mockito), and support CI/CD and observability ... Remote Benefits * Health insurance; Health savings account * Dental insurance; Vision insurance ...

Aperia

Full Stack Java Engineer (React)

Dallas, TX · On-site +1

Write and maintain unit and integration tests (JUnit, Mockito), and support CI/CD and observability ... Remote Benefits * Health insurance; Health savings account * Dental insurance; Vision insurance ...

Wells Fargo

Lead Infrastructure Engineer

Irving, TX · On-site +1

$103K - $135K/yr

... remote state securely, and automating AWS infrastructure deployments at scale. Desired ... observability * Advanced knowledge of GitOps, Infrastructure as Code, Policy as Code, and ...

Eliassen Group

Senior Automation Engineer

Irving, TX · Remote

$65 - $75/hr

Description: Hybrid 3 days onsite/2 days remote in either Irving, TX or Charlotte, NC or ... Expose automation services via Apigee and implement observability with Grafana and Prometheus.

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All JobsObservability Engineer JobsRemote Observability Engineer JobsRemote Observability Engineer Jobs in Frisco, TX

Remote Observability Engineer information

See Frisco, TX salary details

$35.6K

$108.4K

$179.2K

How much do remote observability engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote observability engineer in Frisco, TX is $108,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $141,800.00 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 Frisco, TX?

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The top searched job categories for Remote Observability Engineer jobs in Frisco, TX are:

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Cities near Frisco, TX with the most Remote Observability Engineer job openings:

Remote Observability Engineer jobs near you

Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL

Dallas, TX • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.
The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on - including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build work.
Responsibilities:
Key responsibilities/essential functions include:
Architecture & Technical Foundation
  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team
  • Makes framework and model recommendations that set the foundation for how the team builds - evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins

Solution Design & Delivery
  • Translates proposed business solutions into technical plans - defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work
  • Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production

Production Reliability
  • Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable - including logging, performance benchmarking, and feedback loops that surface drift early

Governance & Collaboration
  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Personal Qualities:
  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them
  • Analytical and detail-oriented, with a strong engineering mindset
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders
  • Self-directed and accountable, able to set technical direction and drive execution independently

Qualifications:
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 7+ years of software engineering experience with a strong full-stack foundation - backend services, API design, system integration, and data infrastructure
  • Recent hands-on experience building AI or LLM-backed systems and shipping them to production
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
  • Experience with AI development practices - model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
  • Proficiency in Python; experience with cloud platforms
  • Experience mentoring engineers and setting technical direction across multiple initiatives
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:
  • Environment: Remote work environment (US-based).
  • Travel: Occasional travel (domestic) as needed.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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