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Remote Aiops Engineer Jobs (NOW HIRING)

North American Bancard

Principal Cloud Engineer

$140K - $205K/yr

Principal Cloud Engineer North - Remote Let's go North, together. Join our mission to build the ... The Principal Cloud & AIOps Engineer drives the overall technical architecture, automation, and ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... Implement AIOps best practices to streamline the lifecycle of AI models. * Mentorship & Enablement:

GDIT

DevSecOps Engineer Principal

WV · On-site +1

$144K - $195K/yr

Yes DEVSECOPS ENGINEER PRINCIPAL (100% Remote) Role Overview We are seeking a security-focused ... Build and support MLOps/AIOps platforms for AI model deployment, monitoring, and lifecycle ...

GDIT

Devops Engineer Principal

WV · On-site +1

$119K - $161K/yr

Yes DEVOPS ENGINEER PRINCIPAL (100% Remote) Role Overview We are seeking a Principal DevOps ... Implement and support MLOps/AIOps and FinOps capabilities, including AI infrastructure and model ...

Redfish Recruiting

Contributions to AIops/MLOps platforms (MLflow, Kubeflow, Vertex AI) and CI/CD for ML workflows ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

CSAA

... (SRE), and AI Operations (AIOps). Required Experience, Education and Skills * 3+ years of ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... (SRE), and AI Operations (AIOps). Required Experience, Education and Skills * 3+ years of ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Aiops Engineer information

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$115.9K

$191.5K

How much do remote aiops engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote aiops engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a remote AIOps engineer?

Remote Aiops Engineers are IT professionals who specialize in applying artificial intelligence (AI) and machine learning (ML) techniques to automate and enhance IT operations, typically while working from a location outside of a traditional office. They monitor, analyze, and optimize system performance, detect anomalies, and help prevent outages by leveraging AI-driven tools and algorithms. By working remotely, they can support organizations globally, offering flexibility and a broad skill set to manage complex IT environments efficiently.

How do remote AIOps engineers typically collaborate with cross-functional teams to resolve incidents and optimize IT operations?

Remote AIOps Engineers frequently work with IT operations, development, and security teams to monitor, analyze, and automate responses to system events and incidents. Collaboration often happens through virtual meetings, shared dashboards, and incident management tools, ensuring seamless communication despite physical distance. They play a key role in facilitating root cause analysis, sharing insights from AI-driven analytics, and implementing automation solutions to prevent future issues. Effective communication and the ability to translate technical findings for non-technical stakeholders are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a remote AIOps engineer, and why are they important?

To thrive as a Remote AIOps Engineer, you need a strong background in IT operations, machine learning, and data analytics, typically supported by a degree in computer science or a related field. Familiarity with monitoring tools (such as Splunk, Datadog, or Prometheus), scripting languages (like Python), and cloud platforms is essential, and certifications like AWS Certified Solutions Architect or Google Cloud Professional Engineer are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently set outstanding candidates apart in a remote setting. These skills and qualifications are crucial for proactively identifying and resolving IT issues, automating processes, and ensuring system reliability in distributed environments.

What is the difference between Remote Aiops Engineer vs Cloud Operations Engineer?

AspectRemote Aiops EngineerCloud Operations Engineer
Required CredentialsCertifications in AI, Machine Learning, Cloud platforms (AWS, Azure)Certifications in Cloud platforms, DevOps, Networking
Work EnvironmentRemote, tech-focused teams managing AI-driven systemsRemote or on-site, managing cloud infrastructure and services
Employer & Industry UsageTech companies, AI startups, cloud service providersCloud service providers, enterprise IT departments
Search & Comparison IntentUnderstanding AI-focused cloud operations rolesManaging cloud infrastructure and services

The Remote Aiops Engineer focuses on maintaining AI-driven systems and automating operations using AI and machine learning, often requiring specialized certifications. In contrast, the Cloud Operations Engineer manages cloud infrastructure, ensuring system reliability and performance. Both roles are remote-friendly and prevalent in tech and cloud industries, but they emphasize different technical skills and responsibilities.

How much do remote AIops engineers make?

Remote AIops engineers typically earn between $80,000 and $150,000 annually, depending on experience, certifications, and the complexity of the systems they manage. Salaries tend to be higher for those with strong skills in cloud platforms, automation tools, and machine learning integration.
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Remote Aiops Engineer jobs near you
Infographic showing various Remote Aiops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Principal Cloud Engineer

Remote

North American Bancard
See more jobs at North American Bancardexternal

$140K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Principal Cloud Engineer
North - Remote
Let's go North, together.
Join our mission to build the largest suite of credit card processing and merchant services. It's one simple payment platform backed by the most diverse payment companies. From credit card processing to back-office management, North points the way to smarter, faster, and just plain better payment solutions.
Job Summary:
The Principal Cloud & AIOps Engineer drives the overall technical architecture, automation, and operational resilience of North's multi-cloud infrastructure. This role leverages artificial intelligence, machine learning, and advanced cloud native tools to build self-healing, highly scalable systems. Responsible for setting continuous engineering standards, the Principal Cloud & AIOps Engineer ensures that all enterprise infrastructure aligns with strict security requirements, modern AI-driven practices, and performance objectives.
What You'll Do:
  • Cloud Architecture & Vision: Architect, optimize, and maintain NAB's Amazon Web Services (AWS) and multi-cloud environments for maximum availability, disaster recovery, and cost efficiency.
  • AIOps & Intelligent Automation: Design and implement AIOps platform capabilities, automated anomaly detection, predictive scaling, and self-healing incident remediation workflows using AI/ML operational tooling.
  • Infrastructure as Code (IaC) & CI/CD: Establish enterprise-wide standards for IaC (Terraform, Ansible) and CI/CD automation pipelines to streamline secure software delivery.
  • Security & Regulatory Compliance: Enforce zero-trust network perimeters and maintain strict compliance with industry security frameworks, including PCI Digital Security Standard.
  • Observability & Telemetry Infrastructure: Build telemetry data pipelines (metrics, logs, traces) to aggregate system performance data into intelligent observability engines.
  • AI Tooling & Cloud Workload Optimization: Evaluate, pilot, and deploy generative AI tools and LLM/AI-assisted developer tooling to enhance engineering productivity and cloud cost management.
  • Cross-Functional System Support: Work directly with DevOps, Site Reliability, Product Engineering, and InfoSec teams to integrate cloud infrastructure best practices.

What We Need From You:
  • Bachelor's Degree in Computer Science, Software Engineering, or a related technical field
  • 7+ years of experience in cloud infrastructure engineering, with extensive hands-on experience in AWS.
  • Deep expertise in Linux systems administration (RHEL, Ubuntu) and enterprise automation.
  • Production experience using Terraform and Ansible for IaC and configuration management.
  • Proven experience implementing AIOps frameworks, machine learning models for anomaly detection, or AI-driven observability tools (e.g., Datadog, Prometheus/Grafana AI plugins, Dynatrace).

Knowledge, Skills & Abilities (Preferred):
  • AWS Certified Solutions Architect (Professional) or AWS Certified DevOps Engineer (Professional).
  • Hands-on experience with PCI-DSS compliant infrastructure and security controls.
  • Experience with multi-cloud deployments (Google Cloud Platform).
  • Scripting/Programming proficiency in Python, Bash, or Perl.
  • Experience with AI/ML workflow pipelines, vector data indexing, or deploying AI model workloads in containerized environments (Kubernetes/EKS).

What we offer:
We offer a comprehensive benefits package that enables our teams to live a life well lived, both personally and professionally. Some of our perks include:
  • Medical, Dental, & Vision Coverage
  • Flexible Paid Time Off
  • 401(k) + Match
  • Mental Health Support & Well-Being Program
  • Paid Maternity & Paternity Leave
  • Education Assistance
  • Company-funded Lifestyle Spending Account

Salary Range: $140,000-205,000
Pay within this range varies by work location and on job-related knowledge, skills, and experience. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.
Please note: North is a US-based company and no sponsorship is available for this position at this time.
Who we are:
North, and our family of companies, are committed to helping entrepreneurs grow their businesses. As an end-to-end payment solutions company, we provide everything business owners need to get paid, whether they serve customers in a physical storefront, online, or both. We pride ourselves on being large enough to offer customized solutions to our enterprise-level clients while remaining agile enough to take an award-winning, hands-on approach to personal service that our merchants won't find anywhere else.
Let's go North, together! Our most important resource is our people. Join our diverse team of innovators and do-ers and make your mark on the future of payments technology. We're proud to offer benefits that help our team members further their overall well-being through unique initiatives that are both personally and professionally fulfilling.
At North, we celebrate diversity and create an inclusive environment for everyone. We are an equal opportunity employer.
To learn more about North, and our family of companies, visit our website: north.com

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