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Assistant Aiops Engineer Jobs (NOW HIRING)

DevOps Engineer (AIOps)

Tempe, AZ

$50.50 - $69.25/hr

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, ... * Assist with operational data analysis, trend identification, operational metrics, engineering ...

DevOps Engineer (AIOps)

Hanover, MD · On-site

$52 - $71.25/hr

Job Summary: The AIOps Engineer is a technical operational engineering role responsible for ... * Assist with operational data analysis, trend identification, operational metrics, engineering ...

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, ... * Assist with operational data analysis, trend identification, operational metrics, engineering ...

DevOps Engineer (AIOps)

Hanover, MD

$52 - $71.25/hr

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, ... * Assist with operational data analysis, trend identification, operational metrics, engineering ...

DevOps Engineer (AIOps)

Hanover, MD · On-site

$52 - $71.25/hr

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, ... * Assist with operational data analysis, trend identification, operational metrics, engineering ...

AIOps Engineer

$100K - $150K/yr

About the Role Nelnet is seeking an AIOps Engineer to own the operational backbone of our ... Experience building autonomous AI Agents for enterprise workflows - not just chatbots or assistants

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

Technical Lead - AI OPs

Frisco, TX · On-site

$130K - $154K/yr

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers ...

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Assistant Aiops Engineer information

See salary details

$33K

$88.8K

$134.5K

How much do assistant aiops engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for assistant aiops engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, AI architects, or executive positions like AI directors or chief AI officers. These roles often require advanced skills in machine learning, deep learning, data science, and experience with AI tools and frameworks, and they usually involve leadership responsibilities and strategic decision-making.

What engineers make $500,000?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like AIops engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as an Assistant Aiops Engineer, and why are they important?

To thrive as an Assistant Aiops Engineer, you need a solid understanding of IT operations, data analysis, and foundational knowledge of machine learning, often supported by a degree in computer science or a related field. Familiarity with monitoring tools (such as Splunk, Nagios, or Datadog), scripting languages (like Python), and cloud platforms is typically required, along with relevant certifications like AWS Certified Cloud Practitioner or CompTIA. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills in this role. These competencies enable rapid identification and resolution of operational issues, ensuring system reliability and efficiency in dynamic IT environments.

What is the salary of AIOps engineer?

The salary of an AIOps engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with certifications and skills in machine learning and cloud platforms can earn higher salaries.

What are some common challenges faced by an Assistant Aiops Engineer when integrating AI solutions with existing IT infrastructure?

Assistant Aiops Engineers often encounter challenges such as managing the compatibility between AI-driven monitoring tools and legacy IT systems. Balancing the need for automation with existing manual processes can require careful planning and communication with other IT teams. Additionally, ensuring data quality and accessibility for machine learning models is crucial for effective AIops solutions. Collaborating closely with network administrators, DevOps specialists, and data engineers is typically necessary to successfully implement and maintain these integrations.

What are Assistant Aiops Engineers?

Assistant Aiops Engineers support the implementation and management of Artificial Intelligence for IT Operations (AIOps) solutions. They help monitor, analyze, and automate IT systems using machine learning and data analytics to improve performance, detect anomalies, and prevent downtime. Their responsibilities often include assisting with data collection, model training, incident response, and collaborating with IT teams to streamline operations. This role is ideal for individuals interested in IT infrastructure, automation, and leveraging AI to solve operational challenges.

Is AIOps a good career?

AIOps Engineer is a growing role that combines artificial intelligence with IT operations to automate and improve system management. It requires skills in data analysis, machine learning, and tools like monitoring platforms, making it a promising career path with increasing demand in the tech industry.
More about Assistant Aiops Engineer jobs
What cities are hiring for Assistant Aiops Engineer jobs? Cities with the most Assistant 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 Assistant Aiops Engineer jobs? States with the most job openings for Assistant Aiops Engineer jobs include:
Infographic showing various Assistant Aiops Engineer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 95% Full Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,754 per year, or $42.7 per hour.
DevOps Engineer (AIOps)

$50.50 - $69.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

Job Summary:

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, Production Support, Release Management, Test Automation, and platform operations through intelligent automation, operational tooling, observability, and AI-enabled capabilities. This role focuses on building scalable operational solutions that improve system reliability, reduce manual operational effort, strengthen production visibility, and optimize engineering support workflows across the Connected and OBE programs.

The AIOps Engineer partners closely with Engineering, DevOps, Production Support, Architecture, and Release teams to identify improvement opportunities, streamline operational processes, and implement practical solutions across monitoring, incident management, deployment operations, operational analytics, release coordination, and support workflows. This role contributes to implementing operational tooling, automation frameworks, intelligent monitoring capabilities, and AI-assisted solutions that improve operational efficiency, engineering effectiveness, and platform stability.

This is a hands-on engineering role focused on applying modern operational engineering practices to solve enterprise operational challenges through automation, operational intelligence, and scalable engineering solutions. The AIOps Engineer helps improve operational scalability, support responsiveness, operational maturity, and engineering efficiency while aligning enterprise technology and governance standards. 

Required in-office presence at least 2 days per week

Responsibilities

Essential Functions:

  • Design, develop, and maintain intelligent operational solutions, automation workflows, scripts, integrations, and orchestration capabilities across DevOps, Production Support, Release Management, Test Automation, and operational ecosystems.
  • Identify operational bottlenecks, repetitive support activities, and manual engineering processes suitable for automation and operational optimization.
  • Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency.
  • Improve observability and operational visibility through dashboards, monitoring integrations, alerting, logging, analytics, reporting, and release insight solutions across enterprise platforms.
  • Partner with Engineering, DevOps, Architecture, Production Support, and Release teams to improve operational scalability, engineering effectiveness, and platform reliability.
  • Support operational triage, incident coordination, root cause analysis, and operational response workflows through automation and intelligent operational tooling.
  • Evaluate, implement, and enhance operational tooling, integrations, automation frameworks, orchestration capabilities, and operational intelligence solutions.
  • Support release operations, deployment visibility, environment coordination, and operational readiness activities across enterprise platforms.
  • Contribute to operational standards, implementation best practices, governance alignment, and modernization initiatives.
  • Assist with operational data analysis, trend identification, operational metrics, engineering productivity insights, and reporting initiatives.
  • Collaborate with cross-functional teams to implement scalable operational processes aligned with enterprise technology and security standards.
  • Provide technical recommendations related to automation, reliability, scalability, observability, and operational optimization opportunities.
  • Support continuous improvement initiatives focused on operational maturity, engineering efficiency, support effectiveness, and platform stability.

Supervisory or Management Responsibility:

  • Provide technical collaboration and operational support across DevOps, Engineering, Production Support, Release Management, and operational teams.
  • Share operational knowledge, automation practices, and implementation guidance with engineering and operational teams.
  • Assist leadership and engineering teams with operational insights, technical recommendations, and operational improvement opportunities.

Budget Responsibility:

  • Support operational tooling evaluations, technical assessments, and operational platform recommendations.
  • Assist with operational tooling research and operational modernization initiatives aligned with long-term engineering and operational goals.
Qualifications

Minimum Education and/or Experience:

  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent combination of education and work experience.
  • 4+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Production Support Engineering, Operational Engineering, Automation Engineering, or enterprise operational support environments.
  • Strong understanding of enterprise operational workflows, operational support models, and platform reliability practices.
  • Experience with CI/CD pipelines, release orchestration, environment management, and DevOps operational processes.
  • Experience with observability, monitoring, alerting, logging, and operational analytics platforms.
  • Experience with automation frameworks, scripting, workflow automation, tooling integrations, and orchestration capabilities.
  • Experience supporting cloud-based enterprise environments and distributed operational ecosystems.
  • Familiarity with AI-assisted operational tooling, intelligent automation platforms, operational analytics, or operational intelligence capabilities.
  • Understanding of incident management, operational triage, root cause analysis, and production support workflows.
  • Experience integrating APIs, operational services, enterprise platforms, and automation pipelines.
  • Strong communication, stakeholder collaboration, analytical thinking, and problem-solving skills.
  • Experience operating within Agile enterprise delivery environments.
Skills and Abilities:
  • Experience supporting Salesforce enterprise ecosystems and Salesforce DevOps environments.
  • Experience with GitHub Actions, release orchestration platforms, infrastructure automation, or operational workflow tooling.
  • Familiarity with AI-assisted operational tooling, operational intelligence platforms, or enterprise automation frameworks.
  • Experience supporting enterprise-scale production support operations and operational modernization initiatives.
  • Experience with operational analytics, engineering productivity tooling, intelligent monitoring solutions, or operational dashboards.
  • Familiarity with cloud-native operational tooling, enterprise observability platforms, and operational automation practices.

Core Competencies:

  • Build relationships
  • Develop people
  • Lead change
  • Inspire Others
  • Think critically
  • Communicate clearly
  • Create Accountability

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.  This role is eligible for the following:

  • Medical, dental & vision
  • Hospital plans
  • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
  • Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
  • Company paid Short and long-term disability
  • Health & Dependent Care Spending Accounts (HSA & DCFSA)
  • Transportation benefits
  • Employee Assistance Program
  • Tuition Assistance
  • Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

Salary Range:

  • $73,600.00 - $110,400.00
  • This position is bonus eligible
  • Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. 

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.

Employment Type: FULL_TIME