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Remote Aiops Engineer Jobs in Illinois (NOW HIRING)

Remote Aiops Engineer information

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.

What are the most commonly searched types of Aiops Engineer jobs in Illinois?

The most popular types of Aiops Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Aiops Engineer jobs?

Cities in Illinois with the most Remote Aiops Engineer job openings:

Lead Product Engineer - (AIOps for Observability) - Remote

Allstate

Chicago, IL • On-site, Remote

$105K - $139K/yr

Full-time

Re-posted 22 days ago


Allstate Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 567 frontline employees who took The Breakroom Quiz

231st of 311 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

Allstate is seeking a forward-thinking Lead Product Engineer to drive innovation in its AI-powered Observability platform. This role sits at the intersection of AI engineering, observability, and software development, with a strong focus on automation, intelligent insights, and self-healing systems across hybrid and multi-cloud environments.
You will lead the design and development of next-generation observability solutions powered by agentic AI, enabling proactive detection, diagnosis, and remediation of issues. This role emphasizes building scalable platforms, intelligent automation, and developer-centric tooling that enhance reliability, performance, and operational efficiency.
As a technical leader, you will shape product strategy, drive engineering excellence, and deliver AI-driven monitoring and automation capabilities that transform how applications and platforms are operated across the enterprise. Key ResponsibilitiesAI & Intelligent Automation
  • Design and build agentic AI solutions for observability, including autonomous agents capable of anomaly detection, root cause analysis, and automated remediation.
  • Embed AI/ML capabilities into observability platforms to enable predictive insights, anomaly detection, and intelligent alerting.
  • Develop AIOps frameworks that reduce noise, automate workflows, and improve incident response times.
  • Leverage LLMs and AI orchestration frameworks to create self-service diagnostics and operational assistants.
  • Architect and implement end-to-end observability solutions across logs, metrics, traces, and events.
  • Enhance observability platforms (Datadog, Dynatrace, New Relic, AppDynamics, OTEL) with custom integrations, automation, and AI enhancements.
  • Build real-time insights and health analytics to ensure system reliability, scalability, and performance.
  • Lead development of scalable, reusable platform components and APIs for observability and automation.
  • Build developer-first tools and frameworks that simplify instrumentation, monitoring, and diagnostics.
  • Apply modern software engineering practices including TDD, CI/CD, microservices, and cloud-native design.
  • Develop full-stack solutions (backend services, dashboards, automation tooling) using Java/Spring Boot, Python, Node.js, and React.
  • Drive automation-first strategies to eliminate manual operations and improve efficiency.
  • Build self-healing systems that automatically detect and remediate issues.
  • Lead initiatives in infrastructure-as-code, Observability-as-code and automated deployment pipelines.
  • Engineer highly resilient systems by focusing on performance, scalability, and fault tolerance.
  • Define and evolve enterprise observability architecture, incorporating AI and automation as core principles.
  • Collaborate with architecture, platform, and security teams to align solutions with enterprise standards.
  • Champion standardization, reusable patterns, and platform scalability across the organization.
  • Act as a technical leader and mentor, guiding teams in AI, observability, and engineering best practices.
  • Partner with cross-functional teams to deliver integrated, high-impact platform solutions.
  • Communicate technical concepts and strategies effectively to both technical and executive audiences.
  • Foster a culture of innovation, automation, and continuous improvement.
Essential Skills
  • 5+ years of engineering experience building software, platforms, or automation solutions, with a strong emphasis on observability and distributed systems.
  • 4+ years of hands-on experience with observability platforms (Datadog, Dynatrace, OTEL).
  • 3+ years of software development experience using Java (Spring Boot), Python, Node.js, or React.
  • 2+ years of hands-on experience building agentic AI systems (autonomous agents, AI workflows, or AI-native applications).
  • Proven ability to design and implement AI-driven automation and AIOps solutions.
  • Experience integrating LLMs, orchestration frameworks, or AI pipelines into production systems.
  • Strong experience with Kubernetes and cloud-native architectures.
  • Hands-on experience in hybrid environments (on-prem + cloud) across Linux and Windows.
  • Expertise in API development, event-driven systems, and microservices architecture.
  • Familiarity with CI/CD pipelines, infrastructure-as-code, and DevOps practices.
  • Strong problem-solving skills with a focus on automation and innovation.
  • Excellent communication skills to articulate complex technical solutions.
  • Passion for emerging technologies, particularly AI in observability and operations.

Supervisory Responsibilities

  • This job does not have supervisory duties.

(#LI-NJ1)

Skills

Agentic AI, Agentic AI, Agile Methodology, AI Agents, AI Ops, Anomaly Detection, API Development, AppDynamics, Application Monitoring, Application Programming Interface (API), Automation, Automation Solutions, Back-End Development, Building Architecture, Business, Business Direction, Business Objectives, Business Operations, Business Processes, Business Software, C (Programming Language), Cloud Infrastructure, Cloud Native, Collaboration, Collaborative Development {+ 65 more}

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.


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About Allstate Insurance

Sourced by ZipRecruiter

We're a purpose-driven company powered by purpose-driven people. We're reinventing protection and transforming the company for our customers, communities and each other. You could play a role in our transformation. Join a 90-year-old, Fortune 100 insurance company as we challenge the status quo, champion inclusion and strengthen our communities. If being a part of that future gives you goosebumps, you've come to the right place. Reinventing the future of protection means rethinking how we work together. From marketing to claims, our employees have flexibility in how, when and where they work — whether at home, the office or both. We're creating an inclusive, diverse and equitable workplace. We encourage collaboration, support taking chances and foster a strong sense of community. Let's build a new kind of Allstate together.

Industry

Insurance services, real estate, finance and insurance and insurance agencies and brokerages

Company size

10,000+ Employees

Headquarters location

Northbrook, IL, US