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Aiops Engineer Jobs in Texas (NOW HIRING)

Senior Incident Management Practice Engineer

Dallas, TX · On-site +1

$113K - $155K/yr

This role drives operational resilience by leveraging AIOps, advanced analytics, and standardized ... The engineer works across technology, SRE, and ITSM teams to drive consistency, eliminate silos ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

AI / MLOps / AIOps * Deploy, manage, and optimize AI/ML workloads in production environments ... , or Infrastructure Engineering roles. * Proven experience supporting production applications in ...

Senior Incident Management Practice Engineer

Dallas, TX · On-site +1

$113K - $155K/yr

This role drives operational resilience by leveraging AIOps, advanced analytics, and standardized ... The engineer works across technology, SRE, and ITSM teams to drive consistency, eliminate silos ...

Senior Incident Management Practice Engineer

Dallas, TX · On-site +1

$113K - $155K/yr

This role drives operational resilience by leveraging AIOps, advanced analytics, and standardized ... The engineer works across technology, SRE, and ITSM teams to drive consistency, eliminate silos ...

Lead ML Ops Engineer

Fort Worth, TX · On-site

$98K - $129K/yr

... and AIOps, and build reusable frameworks and standards adopted across multiple projects and ... Preferred : • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level ...

DevOps Engineer

Dallas, TX

$52.25 - $71.50/hr

... Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable ... E xperience with AIOps or predictive automation. * L eadership or mentoring experience. What You'll ...

Senior DevOps Engineer

Dallas, TX · On-site

$128K - $165K/yr

AI / MLOps / AIOps * Deploy, manage, and optimize AI/ML workloads in production environments ... , or Infrastructure Engineering roles. * Proven experience supporting production applications in ...

DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

... Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable ... E xperience with AIOps or predictive automation. * L eadership or mentoring experience. What You'll ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Preferred Qualifications: - AWS/Azure/GCP DevOps certifications. - GitOps tools such as ArgoCD or Flux. - Experience with AIOps or predictive automation. - Leadership or mentoring experience. What ...

DevOps Engineer

Addison, TX · On-site

$51 - $70/hr

Preferred Qualifications: * - AWS/Azure/GCP DevOps certifications. - GitOps tools such as ArgoCD or Flux. - Experience with AIOps or predictive automation. - Leadership or mentoring experience. What ...

DevOps Engineer

Addison, TX · On-site

$51 - $70/hr

Preferred Qualifications: * - AWS/Azure/GCP DevOps certifications. - GitOps tools such as ArgoCD or Flux. - Experience with AIOps or predictive automation. - Leadership or mentoring experience. What ...

DevOps Engineer

Addison, TX · On-site

$51 - $70/hr

... Engineer to drive our DevOps practices and elevate our delivery capabilities. Role Summary: As a ... E xperience with AIOps or predictive automation. * L eadership or mentoring experience. What You'll ...

Lead ML Ops Engineer

Austin, TX

$101K - $133K/yr

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps ... Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ...

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Preferred Qualifications: - AWS/Azure/GCP DevOps certifications. - GitOps tools such as ArgoCD or Flux. - Experience with AIOps or predictive automation. - Leadership or mentoring experience. What ...

Showing results 21-40

Aiops Engineer information

See Texas salary details

$33.9K

$99.7K

$149.9K

How much do aiops engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for aiops engineer in Texas is $99,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,234.00 and $134,113.00 per year, depending on experience, location, and employer.

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 certifications. Senior roles or those in high-demand areas may offer higher compensation, and knowledge of tools like machine learning and cloud platforms can influence salary levels.

What are some typical responsibilities and challenges faced by AIOps engineers on a daily basis?

Aiops Engineers are responsible for designing and implementing automation solutions that monitor and manage IT infrastructure, troubleshoot complex issues, and optimize processes using AI and machine learning techniques. A typical day may involve collaborating with developers, DevOps teams, and IT managers to analyze incidents, reduce false positives, and automate repetitive tasks. Common challenges include integrating diverse monitoring tools, maintaining system reliability in dynamic environments, and ensuring scalability of automation frameworks. Working in this role often means adapting quickly to new technologies and rapidly evolving operational landscapes, which helps build valuable expertise and career growth opportunities.

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

To thrive as an Aiops Engineer, you need expertise in IT operations, automation, data analytics, and machine learning, often supported by a degree in computer science or a related field. Proficiency with tools like Kubernetes, Prometheus, Splunk, and cloud platforms, as well as certifications in DevOps or cloud administration, is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are important soft skills in this field. These skills ensure smooth deployment and maintenance of AI-driven operational solutions, leading to enhanced system reliability and efficiency.

What does an AIOps engineer do?

An AIOps Engineer focuses on applying artificial intelligence (AI) and machine learning (ML) to IT operations. They develop and implement algorithms to automate monitoring, anomaly detection, and incident resolution, improving system reliability and performance. Their work involves analyzing vast amounts of data from IT environments to predict issues and optimize workflows. AIOps Engineers collaborate with DevOps and IT teams to enhance operational efficiency and reduce downtime.

What are the most commonly searched types of Aiops Engineer jobs in Texas? The most popular types of Aiops Engineer jobs in Texas are:
What are popular job titles related to Aiops Engineer jobs in Texas? For Aiops Engineer jobs in Texas, the most frequently searched job titles are:
Infographic showing various Aiops Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,722 per year, or $47.9 per hour.

Senior AI Ops & Incident/Site Reliability Engineer

Perficient, Inc.

Plano, TX • Hybrid

$53.25 - $70.75/hr

Full-time

Posted 16 days ago


Job description

We currently have a career opportunity for a NOC AI-Ops Engineer to join our team located in Austin, TX. This is a hybrid role, 3 days a week in office.

Job Overview:

We are seeking a Senior AIOps and Incident/Site Reliability Engineer to lead incident management, operational resilience, and intelligent automation initiatives across enterprise technology environments. This role will partner with Network Operations Center (NOC), Infrastructure Operations, Cloud Engineering, DevOps, and Application Support teams to proactively detect, respond to, and prevent technology incidents. The ideal candidate combines hands-on incident management expertise with experience implementing observability, automation, and AI-driven operational solutions to improve system reliability, reduce operational overhead, and enhance customer experience. The candidate should possess deep expertise in AIOps, ITSM, ITIL, SRE, Incident Management, Cloud Operations, and Enterprise Infrastructure.

This is a hybrid role requiring on-site attendance up to three days per week. Candidates must reside within approximately one hour commuting distance of one of the following office locations: Fort Mill, SC, Austin, TX, Boston, MA, New York, NY, Tempe, AZ, or San Diego, CA.

Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).
  • 8+ years of experience in IT Operations, Site Reliability Engineering, Infrastructure Operations, Network Operations, or Production Support environments.
  • 5+ years of experience leading incident management, operational transformation, or reliability engineering initiatives.
  • Strong experience with:  
    • Site Reliability Engineering (SRE)
    • IT Service Management (ITSM)
    • ITIL Framework
    • Incident, Problem, Change, and Event Management
    • Network Operations Center (NOC)
    • Infrastructure Operations
    • Service Desk Operations
    • Application Production Support
    • Cloud Platforms (AWS, Azure, or GCP)
    • DevOps Practices and Toolchains
  • Hands-on experience with Dynatrace, monitoring platforms, and observability solutions.
  • Experience using ServiceNow for ticketing, workflow automation, and service management.
  • Strong understanding of infrastructure, networking, cloud architecture, and enterprise application ecosystems.
  • Proven experience conducting root cause analysis and implementing preventive controls.
  • Experience leading enterprise AIOps implementations.
  • Experience building AI-powered operational agents and intelligent automation solutions.
  • Certifications such as:  
    • ITIL Foundation or ITIL Managing Professional
    • Certified Site Reliability Engineer (SRE)
    • AWS, Azure, or Google Cloud certifications
    • ServiceNow certifications
  • Experience with workflow orchestration and enterprise automation platforms.
  • Familiarity with predictive analytics, machine learning operations, and autonomous operations frameworks. 
     

ADDITIONAL INFORMATION

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $93,600.00 to $170,640.00. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.

Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. 

#LI-GS1 #LI-AIFirst

  • Incident & Recovery Management
  • Monitor, document, and analyze major incident response efforts and service recovery activities.
  • Serve as a senior escalation point for Tier 1 and Tier 2 operational incidents.
  • Conduct incident reviews, root cause analysis, and corrective action planning.
  • Improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
  • Site Reliability Engineering
  • Implement SRE practices to improve platform reliability, scalability, and resiliency.
  • Define and monitor SLAs, SLOs, and operational KPIs.
  • Develop proactive reliability and availability strategies.
  • AIOps & Automation
  • Implement AIOps solutions to automate incident detection, diagnosis, remediation, and prevention.
  • Build and optimize AI-powered operational agents and self-healing workflows.
  • Reduce operational effort through intelligent automation.
  • Observability & Monitoring
  • Lead enterprise monitoring initiatives using Dynatrace and related observability platforms.
  • Improve visibility across cloud, infrastructure, applications, and user experiences.
  • Enable predictive monitoring and anomaly detection.
  • ITSM & Service Operations
  • Develop and enhance incident, problem, change, and event management frameworks aligned with ITIL and ITSM best practices.  
  • Leverage ServiceNow workflow automation to improve service delivery.
  • Cross-Functional Leadership
  • Partner with Infrastructure, DevOps, Cloud, Security, Application Development, and NOC teams.
  • Mentor operational teams and promote an automation-first culture.