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Observability Aiops Engineer Jobs in Texas (NOW HIRING)

Director of AIOps

Frisco, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Recruit, build, and lead a high-performing team of AIOps architects, ML engineers, and automation ... Strong background in observability and event management, with a track record of defining and ...

Director of AIOps

Frisco, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Recruit, build, and lead a high-performing team of AIOps architects, ML engineers, and automation ... Strong background in observability and event management, with a track record of defining and ...

AIOps Lead, Software Engineering

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will define and drive the AIOps strategy for the organization, combining cloud operations, observability, automation, SRE practices, and AI/agentic solutions to improve reliability, incident ...

Senior Product Manager - SRE & Observability

Plano, TX · On-site

$121K - $159K/yr

  • Medical

  • Retirement

  • PTO

Advance the AIOps roadmap, including AI-driven alerting, anomaly detection, Agentic AI, and ... Experience with SRE, observability, or reliability engineering practices, including SLIs, SLOs ...

Lead Infrastructure Engineer - Storage

Houston, TX

$102K - $134K/yr

  • Medical

  • Retirement

As a Lead Infrastructure Engineer at JPMorganChase within the Enterprise Technology, Infrastructure ... Implement AI-driven observability/AIOps (telemetry correlation, anomaly/regression detection, LLM ...

Senior Kafka SRE Engineer

Austin, TX

$56.50 - $75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Kafka Site Reliability Engineer to help build, operate, and continuously improve ... observability, Infrastructure as Code, and AIOps-driven capabilities. You will play a key role in ...

Senior Kafka SRE Engineer

Austin, TX · On-site

$120K - $155K/yr

We are seeking a Kafka Site Reliability Engineer to help build, operate, and continuously improve ... observability, Infrastructure as Code, and AIOps-driven capabilities. You will play a key role in ...

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Observability Aiops Engineer information

What are some common challenges faced by Observability AIOps engineers in integrating monitoring solutions across diverse technology stacks?

Observability AIOps Engineers often encounter challenges when integrating monitoring and analytics tools across a mix of legacy systems, cloud-native applications, and various third-party platforms. Ensuring consistent data collection, normalization, and visualization can be complex due to differing protocols, data formats, and tool compatibility. Collaboration with development, operations, and security teams is crucial to address these challenges, streamline workflows, and maintain a unified observability platform. Staying current with evolving AIOps technologies and best practices is also vital for continued success in this dynamic role.

What is an Observability AIOps engineer?

An Observability Aiops Engineer is a technology professional who focuses on implementing and managing observability tools and practices, often leveraging artificial intelligence for IT operations (AIOps). Their role is to ensure system reliability, performance, and uptime by monitoring, analyzing, and automating responses to IT incidents. They integrate data from logs, metrics, and traces to gain real-time insights, helping organizations quickly detect and resolve issues. This role combines expertise in software engineering, monitoring solutions, automation, and machine learning to improve the overall health and efficiency of IT environments.

What are the key skills and qualifications needed to thrive as an Observability AIOps engineer?

To thrive as an Observability AIOps Engineer, you need expertise in systems monitoring, data analytics, automation, and a strong understanding of IT infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Prometheus, Grafana, ELK stack, Splunk, and AIOps platforms, as well as certifications in cloud solutions (AWS, Azure, or GCP), are typically required. Strong problem-solving skills, collaboration, and a proactive mindset help you stand out in identifying and addressing system anomalies. These skills and qualities are crucial for maintaining high system reliability, reducing downtime, and enabling data-driven decision-making in complex IT environments.

What is the difference between Observability Aiops Engineer vs Site Reliability Engineer?

AspectObservability Aiops EngineerSite Reliability Engineer
Primary FocusMonitoring, analyzing, and improving system observability using AI and automationEnsuring system reliability, scalability, and performance of services
Skills & CertificationsKnowledge of AI/ML, monitoring tools, scripting, cloud platformsSystems engineering, scripting, cloud infrastructure, incident management
Work EnvironmentDevOps teams, monitoring platforms, AI toolsOperations, development teams, cloud environments
Industry UsageTech companies, cloud providers, organizations focusing on AI-driven monitoringLarge-scale tech firms, SaaS providers, internet services

While both roles focus on system performance and reliability, the Observability Aiops Engineer specializes in leveraging AI and automation to enhance system observability, whereas the Site Reliability Engineer concentrates on maintaining overall system stability and scalability. Both roles often collaborate but have distinct core responsibilities.

What are popular job titles related to Observability Aiops Engineer jobs in Texas?

For Observability Aiops Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Observability Aiops Engineer jobs in Texas look for?

The top searched job categories for Observability Aiops Engineer jobs in Texas are:

What cities in Texas are hiring for Observability Aiops Engineer jobs?

Cities in Texas with the most Observability Aiops Engineer job openings:

Infographic showing various Observability Aiops Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Enterprise Tools Presales Solutions Architect

Cognizant Technology Solutions

Plano, TX • On-site

$60.25 - $79.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

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Cognizant is looking for a highly accomplished Presales Solution Architect with deep expertise in Observability, AIOps, Site Reliability Engineering (SRE), ITSM, ITOM, Automation, and Hybrid Cloud ecosystems. This role will lead strategic customer engagements, architect enterprise-scale digital operations solutions, and drive operational transformation through modern observability and service management platforms. The ideal candidate will combine strong architectural leadership, consultative presales experience, and executive stakeholder engagement skills to design differentiated solutions that deliver measurable business value and operational excellence.
Responsibilities
• Lead advanced discovery workshops to assess client operational ecosystems, tooling landscapes, service management maturity, and cloud infrastructure architectures.
• Identify architectural gaps, modernization opportunities, and platform rationalization initiatives across monitoring, observability, ITSM, ITOM, and automation domains.
• Develop end-to-end reference architectures, solution blueprints, and conceptual designs for observability, AIOps, SRE-aligned operations, CMDB-driven topology mapping, federated monitoring, and data ingestion frameworks.
• Architect enterprise integration strategies leveraging APIs, webhooks, event buses, configuration repositories, and data exchange platforms aligned with enterprise standards.
• Design interoperability models across SIAM, IT Operations, DevOps, CloudOps, Digital Experience Monitoring, and enterprise operations ecosystems.
• Own technical solutioning during RFI/RFP processes, including solution rationale, architecture recommendations, implementation roadmaps, operational benefits, KPIs, SLOs, ROI, and TCO models.
• Collaborate with sales, bid, and pursuit teams to create differentiated solution strategies and customer-focused value propositions.
• Develop executive-level presentations, solution playbooks, transformation roadmaps, heatmaps, and value realization frameworks.
• Lead solution defense sessions, technical validations, architectural reviews, and presentations with CIOs, CTOs, Enterprise Architects, and executive stakeholders.
• Define commercial solution constructs including licensing models, bill of materials (BoM), bill of quantities (BoQ), and consumption-based models across observability, AIOps, ITSM, and automation platforms.
• Develop SIAM operating models, multi-vendor governance structures, and process orchestration frameworks across Incident, Problem, Change, Event, and Request Management processes.
• Conduct operational maturity assessments utilizing service management metrics, CMDB health, process performance indicators, and tool adoption analytics.
• Recommend transformation programs covering observability modernization, automation enhancement, AIOps adoption, and SRE-driven operational transformation.
• Design reliability engineering frameworks, service availability governance models, error budget policies, and proactive operational management strategies.
• Architect GenAI-enabled operational solutions including intelligent observability, AI-assisted troubleshooting, operational insights, auto-summarization, and knowledge augmentation capabilities.
• Partner with engineering, product, and delivery teams to validate solution feasibility, transition approaches, and deployment architectures.
• Contribute to organizational thought leadership through whitepapers, competitive assessments, architectural frameworks, and industry best practices.
• Evaluate emerging technologies and trends across OpenTelemetry, cloud-native observability, platform engineering, hybrid cloud monitoring, AIOps, and AI-driven IT operations.
Required Skills/Qualifications
• 10+ years of experience in IT Infrastructure, Cloud Operations, Hybrid IT Operations, Enterprise Architecture, Solutions Architecture, or Tools Architecture roles.
• Demonstrated experience in presales solution architecture, technical consulting, and solution defense for large-scale enterprise opportunities.
• Strong expertise in Observability platforms including Dynatrace, Datadog, AppDynamics, OpsRamp, LogicMonitor, Splunk, New Relic, and similar enterprise monitoring technologies.
• Deep understanding of AIOps capabilities including event correlation, anomaly detection, noise reduction strategies, machine learning-driven operations, and intelligent event management.
• Strong architectural knowledge of ITSM and ITOM platforms, particularly ServiceNow, including CMDB architecture, Discovery, Event Management, Integration Hub, and operational workflows.
• Broad understanding of cloud-native architectures, telemetry pipelines, distributed tracing, OpenTelemetry adoption, Kubernetes observability, and hybrid cloud monitoring strategies.
• Experience designing enterprise integrations using APIs, automation frameworks, event-driven architectures, and operational data exchange models.
• Ability to articulate architectural decisions, platform trade-offs, business value, and modernization outcomes to technical and non-technical stakeholders.
• Proven experience engaging with senior executives including CIOs, CTOs, and Enterprise Architects while influencing strategic technology decisions.
• Strong analytical, conceptual modelling, problem-solving, and communication skills with the ability to simplify complex technical concepts.
• ITIL 4 Foundation certification is mandatory.
Preferred Qualifications/Skills
• ITIL Managing Professional or ITIL Expert certification.
• Experience in SIAM operating models, multi-provider governance frameworks, and enterprise operational transformation initiatives.
• Exposure to GenAI-driven IT Operations, intelligent observability, AI-assisted troubleshooting, and knowledge augmentation solutions.
• Knowledge of emerging technologies such as OpenTelemetry, platform engineering, cloud-native observability, shift-left operations, and LLM-driven IT Operations.
• Experience supporting enterprise modernization initiatives across Observability, AIOps, ITSM, ITOM, Automation, SRE, Hybrid Cloud, DevOps, CloudOps, and Digital Experience Monitoring domains.
Salary and Other Compensation:
The annual salary for this position is between $170,000 to $180,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
#LI-FA1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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