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Remote Aiops Engineer Salary Jobs (NOW HIRING)

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Estimated Salary (Levels have variable responsibilities and qualifications): * Engineer II: $110 ... Implement AIOps best practices to streamline the lifecycle of AI models. * Mentorship & Enablement:

CFS

Oracle Fusion Integrations Engineer

Hudsonville, MI · On-site +1

$156K/yr

Oracle Fusion Integrations Engineer Salary: $110,000 - 155,000 + Bonus Benefits: Medical/dental ... Location: Remote or Hybrid (company based in West Michigan) Job Overview: The Oracle Fusion ...

Booz Allen Hamilton, Inc.

Observability Engineer

Mclean, VA · On-site +1

$53.25 - $73/hr

Remote Work: No Job Number: R0246881 Location: McLean,VA,US Share job via: Share Observability ... This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility ...

OutSystems

Lead Platform Engineer

Boston, MA · On-site +1

$131K - $160K/yr

Salary Determination: Our salary range is based on industry standards, company performance, and ... Technical Skills: 8-10 years in IT Operations; Mastery of AIOps frameworks, private LLM hosting ...

Outsystems

Lead Platform Engineer

$131K - $160K/yr

Salary Determination: Our salary range is based on industry standards, company performance, and ... Technical Skills: 8-10 years in IT Operations; Mastery of AIOps frameworks, private LLM hosting ...

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

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Remote Aiops Engineer Salary information

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$38K

$115.9K

$191.5K

How much do remote aiops engineer salary jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote aiops engineer salary 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 the average salary for a remote AIOps engineer?

The average salary for a Remote AIOps Engineer in the United States typically ranges from $110,000 to $150,000 per year, depending on experience, location, and company size. Senior engineers and those with specialized skills in automation, machine learning, or cloud environments can earn even higher salaries, sometimes exceeding $170,000 annually. Remote positions may offer additional flexibility but can also vary in compensation based on the employer's location and market demand.

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

To thrive as an AIOps Engineer, you need a strong background in computer science, IT operations, and data analytics, often supported by a degree in a related field. Familiarity with cloud platforms, monitoring tools (like Splunk or Datadog), scripting languages (Python, Bash), and certifications such as AWS Certified Solutions Architect are typically required. Strong problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills are essential for proactively managing IT environments, automating incident response, and ensuring system reliability in dynamic remote settings.

What are some common challenges faced by remote AIOps engineers, and how can they be addressed?

Remote AIOps Engineers often encounter challenges such as maintaining seamless communication with distributed teams, managing time zone differences, and ensuring consistent system monitoring and incident response. To address these, it's essential to leverage collaborative tools, establish clear processes for hand-offs, and participate in regular sync meetings. Additionally, staying proactive in documenting workflows and sharing updates helps maintain transparency and operational efficiency across remote teams.

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

AspectRemote Aiops Engineer SalaryRemote Cloud Engineer Salary
Required CredentialsCertifications like AWS, Azure, Google Cloud, and AI/ML credentialsCloud platform certifications (AWS, Azure, GCP), sometimes AI/ML knowledge
Work EnvironmentMonitoring, automation, and AI-driven infrastructure managementDesigning, deploying, and managing cloud infrastructure
Industry UsageIT operations, AI integration, automation servicesCloud service providers, enterprise IT, SaaS companies

Remote Aiops Engineers focus on automating and optimizing AI-driven IT operations, often requiring AI/ML knowledge alongside cloud skills. Remote Cloud Engineers primarily design and manage cloud infrastructure. Salaries vary based on experience, certifications, and industry demand, but both roles are highly valued in tech sectors.

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Remote Aiops Engineer Salary jobs near you
Infographic showing various Remote Aiops Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior BigPanda Engineer / AIOps Subject Matter Expert (Remote)

Chicago, IL • Remote

Ontrac Solutions
See more jobs at Ontrac Solutionsexternal

$90 - $100/hr

Full-time

Re-posted 8 days ago

Job description

About Ontrac Solutions

Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape.

Role Overview

We are looking for a Senior BigPanda Engineer and AIOps subject matter expert with over 5 years of dedicated platform experience. This position requires a rare blend of deep technical administration, strategic consulting, and mentorship capability. You will serve as the chief architect of our event correlation engine, transforming high-volume telemetry data from multi-cloud environments and hybrid monitoring systems into actionable, automated operational insights.

Key Responsibilities
  • Platform Ownership: Act as the primary platform Administrator, Consultant, and Trainer for the BigPanda ecosystem, steering its long-term roadmap and maturity.
  • GCP Data Ingestion: Design and maintain seamless ingestion pipelines from Google Cloud Platform (GCP) telemetry streams (including GCP Cloud Monitoring/Logging) into the BigPanda correlation platform.
  • Lifecycle Architecture: Own the end-to-end observability lifecycle, explicitly driving strategy for high-scale data ingestion, normalization, deduplication, correlation, and enrichment across enterprise cloud ecosystems.
  • ITSM & Tool Integration: Architect seamless integrations between BigPanda, incoming monitoring systems (like Moogsoft, Netcool, Dynatrace), and downstream ITSM ticketing/incident response workflows.
  • AIOps Strategy: Apply advanced AIOps concepts to reduce alert fatigue, drastically lower Mean Time to Resolution (MTTR), and automate root-cause analysis.
  • Mentorship & Enablement: Lead training sessions and strategy workshops for cross-functional engineering teams, utilizing a clear, confidence-inspiring "whiteboard approach" to explain complex data relationships.
Required Skills & Qualifications
  • BigPanda Expertise: 5+ years of hands-on experience spanning the lifecycle of BigPanda implementation, configuration, and day-to-day administration.
  • GCP Exposure: Practical experience working with Google Cloud Platform (GCP) monitoring frameworks and understanding how cloud-native events map to correlation engines.
  • Monitoring Ecosystem: Solid foundational experience with enterprise monitoring and APM tools such as Moogsoft, Netcool, and Dynatrace.
  • AIOps & ITSM: Deep conceptual and practical understanding of algorithmic event correlation, alert noise reduction, and modern ITSM processes.
  • Communication: Exceptional verbal and visual communication skills, with a proven ability to map out complex technical workflows on the fly.

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