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Remote Devops Sre Engineer Jobs in New York (NOW HIRING)

Solidus Labs

DevOps/SRE

Manhattan, NY · On-site +1

$62.50 - $83/hr

The Role We are seeking an experienced New York-based DevOps / Site Reliability Engineer to join our DevOps team and own the reliability, stability, and operational support of our production systems.

Flowcode

Senior SRE Engineer

New York, NY · On-site +1

$62.25 - $82.75/hr

New York, NY (Hybrid) / Remote Department: Engineering The Role Flowcode is seeking a Senior Site ... DevOps, or Platform Engineering domains * Technical proficiency in Kubernetes, including cluster ...

Flowcode

Senior SRE Engineer

New York, NY · On-site +1

$62.25 - $82.75/hr

New York, NY (Hybrid) / Remote Department: Engineering The Role Flowcode is seeking a Senior Site ... DevOps, or Platform Engineering domains * Technical proficiency in Kubernetes, including cluster ...

YO AI Labs

Infrastructure Expert - Remote

New York, NY · Remote

$117K - $154K/yr

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

New York, NY · Remote

$57.75 - $79/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 ...

Mercor

DevOps Engineer - AI Model Evaluator

New York, NY · Remote

$85/hr

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate ...

Zortech Solutions

SRE Engineer

Newark, NJ · Remote

$58.25 - $77.50/hr

Join us as an Expert SRE to ensure operational excellence during the integration of merging systems. You'll design resilient infrastructure, automate incident response, and drive system performance ...

Mercor

DevOps Engineer - AI Model Evaluator

New York, NY · Remote

$85/hr

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate ...

Mercor

DevOps Engineer - AI Model Evaluator

New York, NY · Remote

$85/hr

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate ...

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Remote Devops Sre Engineer information

What is a remote DevOps SRE engineer?

A Remote DevOps SRE (Site Reliability Engineer) job involves managing and automating infrastructure, ensuring system reliability, and optimizing deployment processes from a remote location. These professionals work with cloud platforms, CI/CD pipelines, monitoring tools, and configuration management to enhance system performance and availability. They collaborate with development and operations teams to prevent service disruptions and improve scalability. The role requires expertise in coding, automation, troubleshooting, and cloud technologies like AWS, Azure, or GCP.

What does a remote DevOps SRE engineer do?

Remote DevOps SRE Engineers are responsible for maintaining the availability, scalability, and performance of production systems, often using automation to streamline deployments and incident response. A typical day may involve refining CI/CD pipelines, responding to system alerts, conducting root cause analysis of outages, and collaborating with software engineers to improve system reliability. One of the main challenges is proactively identifying and mitigating potential infrastructure issues before they impact customers, all while communicating effectively across remote teams. The role often requires balancing the implementation of new technologies with maintaining operational stability, making adaptability and strong time management essential for success.

What are the key skills and qualifications needed to thrive as a remote DevOps SRE engineer?

To thrive as a Remote DevOps SRE Engineer, you need deep expertise in systems administration, cloud platforms (such as AWS, Azure, or Google Cloud), automation, and infrastructure-as-code, typically backed by experience in scripting languages and a relevant technical degree. Proficiency with tools like Docker, Kubernetes, Terraform, Jenkins, and monitoring solutions, as well as certifications such as AWS Certified DevOps Engineer or Google Professional SRE, is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are key soft skills in a remote setting. These capabilities ensure reliability, scalability, and seamless operations of critical systems in distributed environments.

What are popular job titles related to Remote Devops Sre Engineer jobs in New York?

For Remote Devops Sre Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Devops Sre Engineer jobs in New York look for?

The top searched job categories for Remote Devops Sre Engineer jobs in New York are:

What cities in New York are hiring for Remote Devops Sre Engineer jobs?

Cities in New York with the most Remote Devops Sre Engineer job openings:

Remote Devops Sre Engineer jobs near you
Infographic showing various Remote Devops Sre Engineer job openings in New York as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Site Reliability Engineering(SRE) - Remote

New York, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 7 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.