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Home Based Observability Engineer Jobs in Miami, FL

Showing results 21-40

Home Based Observability Engineer information

What is the difference between Home Based Observability Engineer vs Network Operations Center (NOC) Technician?

AspectHome Based Observability EngineerNetwork Operations Center (NOC) Technician
CredentialsRelevant certifications like Cisco CCNA, CompTIA Network+Similar certifications often required, such as Cisco CCNA
Work EnvironmentRemote, home-based setup with monitoring toolsOn-site or remote, monitoring network systems in a control room
Industry UsageIT, cloud services, software companiesTelecommunications, internet service providers
Job FocusMonitoring, troubleshooting, and optimizing observability toolsNetwork monitoring, incident response, and system maintenance

While both roles involve monitoring network and system health, the Home Based Observability Engineer focuses on software observability tools and cloud environments remotely, whereas the NOC Technician primarily manages network infrastructure on-site or remotely. Both require similar certifications and are vital in maintaining system uptime, but their daily tasks and work settings differ.

What are the most commonly searched types of Observability Engineer jobs in Miami, FL?

The most popular types of Observability Engineer jobs in Miami, FL are:

What are popular job titles related to Home Based Observability Engineer jobs in Miami, FL?

For Home Based Observability Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Home Based Observability Engineer jobs in Miami, FL look for?

The top searched job categories for Home Based Observability Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Home Based Observability Engineer jobs?

Cities near Miami, FL with the most Home Based Observability Engineer job openings:

Infographic showing various Home Based Observability Engineer job openings in Miami, FL as of June 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Senior Site Reliability Engineer - AI & Automation.

Neshent Technologies

Hallandale Beach, FL • On-site

$53.75 - $71.50/hr

Full-time

Posted 6 days ago


Job description

Primary Responsibilities

*Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
*Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
*Develop automation and integrations using Python.
*Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
*Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
*Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
*Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
*Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
*Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
*Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

*5+ years of SRE, DevOps, or Site Reliability Engineering experience.
*Strong Python development skills for automation, tooling, and integrations.
*Experience with AI agents, LLMs, and agentic AI frameworks.
*Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
*Hands-on experience with AWS, Azure, and/or GCP.
*Experience with Terraform, CloudFormation, and/or CDK.
*Strong production support and incident response experience.
*Knowledge of AI/ML, prompt engineering, and operational AI automation.
*Strong communication, stakeholder management, and mentoring skills.
*Ability to work effectively in a 24x7 operational environment.

Preferred Skills

*Experience with Adobe Experience Manager (AEM).
*Experience supporting CMS platforms and digital applications.
*Knowledge of incident management, runbook automation, and anomaly detection.
*Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.