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Remote Aiops Engineer Jobs (NOW HIRING)

Enterprise Architect

$70.75 - $91/hr

This a Remote Role. Enterprise Architect Fulltime. Role Summary We are seeking a highly ... SRE, AIOps, FinOps, DevSecOps, and intelligent automation practices to uplift reliability ...

Apps AI Solution Architect AMS

OR ยท Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Partner with delivery and support teams to embed AI in software engineering, testing, incident ...

Apps AI Solution Architect AMS

OR ยท On-site +1

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Partner with delivery and support teams to embed AI in software engineering, testing, incident ...

Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

New

Senior Machine Learning Engineer

San Francisco, CA ยท On-site +1

$186.10K - $300.55K/yr

... AIOps tools Job Designation Hybrid: Employee divides their time between in-office and remote work ... Expereience with software engineering fundamentals (Python, C++, or Go), CI/CD for ML, and ...

Senior Machine Learning Engineer

Seattle, WA ยท On-site +1

$186.10K - $300.55K/yr

... AIOps tools Job Designation Hybrid: Employee divides their time between in-office and remote work ... Expereience with software engineering fundamentals (Python, C++, or Go), CI/CD for ML, and ...

$125K - $160.60K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Exposure to AIOps or AI-driven automation * Experience with data platforms (Databricks, Snowflake ...

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Remote Aiops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote aiops engineer jobs pay per year?

As of May 30, 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 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.

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 Remote Aiops Engineers?

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.

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.

More about Remote Aiops Engineer jobs
What cities are hiring for Remote Aiops Engineer jobs? Cities with the most Remote Aiops Engineer job openings:
What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
What states have the most Remote Aiops Engineer jobs? States with the most job openings for Remote Aiops Engineer jobs include:
Infographic showing various Remote Aiops Engineer job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 39% Physical, and 61% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Principal Site Reliability Engineer (SRE)

INFINITE CHOICE LLC

San Francisco, CA โ€ข Remote

$180K - $210K/yr

Full-time

Posted 4 days ago


Job description

About the Role

We're seeking an exceptional Principal Site Reliability Engineer to architect, design, and build our SRE foundation from the ground up at InfiniteChoice. This is a rare greenfield opportunity to establish SRE practices, develop custom tooling, and create the reliability culture that will support our platform serving millions of users and billions in transaction volume.

As our Principal SRE, you'll combine deep technical expertise with strategic vision to build world-class monitoring, observability, and automation systems. You'll have the autonomy to define our SRE processes, select technologies, and create the framework that ensures our systems are reliable, scalable, and performant.

Location: Remote - US based

What You Will DoSRE Foundation & Process Development
  • Build SRE practices from scratch - define SLIs, SLOs, error budgets, and reliability metrics

  • Establish incident response procedures, on-call rotations, and post-mortem processes

  • Create reliability engineering standards and best practices across all engineering teams

  • Develop disaster recovery and business continuity strategies

  • Design and implement capacity planning and performance optimization frameworks

Architecture & Tool Development
  • Drive architecture decisions for comprehensive application and infrastructure monitoring solutions

  • Design and develop custom SRE tools for automated monitoring, alerting, and remediation

  • Build observability platforms that provide deep insights into system performance and user experience

  • Create automation frameworks for deployment, scaling, and incident response

  • Architect logging, metrics, and tracing systems for distributed microservices environments

Google Cloud Infrastructure Excellence
  • Leverage Google Cloud Platform services to build resilient, scalable infrastructure

  • Implement cloud-native monitoring using Stackdriver, Cloud Monitoring, and Cloud Logging

  • Design auto-scaling and self-healing systems using GKE, Cloud Functions, and managed services

  • Optimize cloud costs while maintaining high availability and performance standards

  • Establish security and compliance frameworks within GCP environments

Innovation & Continuous Improvement
  • Research and implement cutting-edge SRE tools and methodologies

  • Leverage AI and machine learning for predictive analytics, anomaly detection, and automated remediation

  • Create dashboards and reporting systems that provide actionable insights to engineering and business teams

  • Establish feedback loops for continuous improvement of reliability and performance

  • Stay current with industry best practices and emerging technologies in the SRE space

What You Must HaveSRE & Infrastructure Expertise
  • 12+ years of experience in Site Reliability Engineering or Infrastructure Engineering

  • 5+ years in lead SRE roles building and scaling SRE teams and processes

  • Proven track record designing and implementing monitoring and observability solutions at scale

  • Deep understanding of distributed systems, microservices architectures, and cloud-native patterns

  • Experience with infrastructure as code, configuration management, and deployment automation

Google Cloud Platform Proficiency
  • Hands-on experience with Google Cloud Platform is required

  • Expertise with GCP monitoring and observability stack (Cloud Monitoring, Cloud Logging, Cloud Trace)

  • Experience with GKE, Compute Engine, Cloud Functions, and other core GCP services

  • Knowledge of GCP networking, security, and compliance capabilities

  • Understanding of GCP cost optimization and resource management

Technical Skills
  • Strong programming skills in Python, Go, Java, or similar languages

  • Experience with monitoring tools (Prometheus, Grafana, Datadog, New Relic, or similar)

  • Proficiency with containerization (Docker, Kubernetes) and orchestration platforms

  • Knowledge of CI/CD pipelines, automated testing, and deployment strategies

  • Understanding of database performance tuning and optimization (SQL and NoSQL)

AI & Automation
  • Familiarity with AI-driven development tools and methodologies is a huge plus

  • Experience with machine learning for operations (AIOps), anomaly detection, or predictive analytics

  • Knowledge of automated incident response and self-healing systems

  • Understanding of AI/ML tools for log analysis, pattern recognition, and intelligent alerting

Problem-Solving & Mindset
  • Strong analytical and troubleshooting skills for complex distributed systems

  • Experience with high-pressure incident response and crisis management

  • Detail-oriented with commitment to operational excellence and continuous improvement

  • Comfortable with ambiguity and building processes in a fast-growing environment

  • Passion for reliability, automation, and engineering best practices

  • Demonstrated experience building SRE programs and processes from the ground up is a HUGE plus

Education
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience

  • Industry certifications (Google Cloud Professional, SRE or related certifications preferred)

What We Offer
  • Ground-floor opportunity to build SRE practices and culture from scratch

  • Full autonomy to define processes, select technologies, and establish best practices

  • Direct impact on platform reliability serving millions of users

  • Opportunity to create lasting engineering culture and operational excellence

  • Remote-first culture with in-person meeting in Dallas, TX on need basis

  • Collaborative environment with smart, passionate engineers and cross-functional teams

  • Access to cutting-edge technologies and AI-driven development tools

  • Competitive compensation, equity participation, and comprehensive benefits

Ready to Build World-Class Reliability?

Join us in creating the SRE foundation that will power InfiniteChoice's next phase of growth. If you're passionate about reliability engineering, love building systems from scratch, and want to establish the operational excellence that scales with our business, we'd love to hear from you.

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.


Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.


Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.