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Overnight Site Reliability Engineer Remote Jobs in Florida

Rocket.net

Site Reliability Engineer (SRE)

Jupiter, FL · Remote

$55.75 - $74/hr

We are looking for a Site Reliability Engineer to help maintain the health, stability, and ... This is a remote position. * Flexible Vacation . Never get denied a vacation request ever again.

Rocket.net

Site Reliability Engineer (SRE)

Jupiter, FL · On-site +1

$55.75 - $74/hr

We are looking for a Site Reliability Engineer to help maintain the health, stability, and ... This is a remote position. * Flexible Vacation . Never get denied a vacation request ever again.

Carrier

Staff Site Reliability Engineer

FL · On-site +1

$55.25 - $73.25/hr

As a Senior SRE, you will play a key role in defining reliability standards, building self-service platform capabilities, driving automation, and enabling engineering teams to operate highly ...

OpenEvidence

Software Engineer, Site Reliability

Miami, FL · On-site +1

$54.50 - $72.50/hr

Role As a Software Engineer working on Site Reliability at OpenEvidence, you will build and harden the mission-critical infrastructure powering our medical AI platform used by healthcare providers ...

YO AI Labs

DevOps Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

YO AI Labs

Infrastructure Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

YO AI Labs

DevOps Engineer - Remote

Miami, FL · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Infrastructure as Code Required Qualifications * 3+ years of professional experience in DevOps, SRE ...

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Overnight Site Reliability Engineer Remote information

What is an overnight site reliability engineer?

An Overnight Site Reliability Engineer (SRE) is a professional responsible for ensuring the reliability, performance, and uptime of software systems during overnight or off-peak hours, typically working remotely. Their main tasks include monitoring system health, responding to incidents, troubleshooting outages, and implementing fixes to maintain service availability. SREs also work to automate processes, improve system resilience, and collaborate with other engineering teams to prevent future issues. Working overnight ensures that critical systems remain operational and issues are addressed promptly, even outside of standard business hours.

What skills and qualifications are needed to be an overnight site reliability engineer?

To thrive as an Overnight Site Reliability Engineer (Remote), you need strong expertise in systems administration, incident response, automation, and a solid background in computer science or related fields. Proficiency with monitoring tools (like Prometheus or Datadog), cloud platforms (such as AWS or GCP), scripting languages (Python, Bash), and certifications like AWS Certified SysOps Administrator are highly beneficial. Exceptional problem-solving skills, attention to detail, and effective remote communication help you excel in high-pressure overnight scenarios. These skills ensure system reliability, minimize downtime, and maintain seamless operations during critical off-hours.

What are the unique challenges and expectations for an overnight site reliability engineer working remotely?

As an Overnight Site Reliability Engineer working remotely, you'll often handle critical incidents that arise outside of standard business hours, so strong problem-solving skills and the ability to work independently are crucial. Communication is key, as you'll need to coordinate with team members in different time zones and document incidents clearly for seamless handoffs. You may also be tasked with proactive monitoring and maintenance activities during quieter periods, making self-motivation and attention to detail especially important. The role offers valuable exposure to high-impact issues and can accelerate your expertise in incident management and system reliability.

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

AspectOvernight Site Reliability Engineer RemoteOvernight DevOps Engineer Remote
Primary FocusEnsuring system reliability, uptime, and incident responseAutomating deployment, integration, and infrastructure management
Required SkillsMonitoring, incident management, scripting, system troubleshootingCI/CD pipelines, automation, cloud platforms, scripting
Work EnvironmentRemote, on-call shifts, collaboration with SRE teamsRemote, development and deployment focus, collaboration with development teams
CertificationsLinux, AWS, Google Cloud, or Azure certifications often preferredCloud certifications, Docker, Kubernetes, CI/CD tools

While both roles involve working remotely and require cloud and scripting skills, the Overnight Site Reliability Engineer Remote primarily focuses on maintaining system reliability and incident response, whereas the Overnight DevOps Engineer Remote emphasizes automation, deployment, and infrastructure management. Understanding these differences helps candidates align their skills with the right role.

What are the most commonly searched types of Site Reliability Engineer Remote jobs in Florida?

The most popular types of Site Reliability Engineer Remote jobs in Florida are:

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Overnight Site Reliability Engineer Remote jobs near you

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Miami, FL • Remote

$30 - $80/hr

Full-time

Posted 4 days ago

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.