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Observability Aiops Engineer Jobs (NOW HIRING)

CTG

Sr. Observability Engineer

$111K - $151K/yr

CTG is seeking an experienced Sr. Observability Engineer to lead the architecture, engineering, and ... This role involves driving platform reliability, scalability, AIOps initiatives, and observability ...

ValidaTek, Inc.

AI Ops Engineer

Fort Belvoir, VA

Lead the AIOps platform initiative by serving as the primary technical liaison across Network ... Ensure observability platforms comply with applicable STIGs and IL5/IL6 security requirements while ...

Diverse Lynx

Senior AIOps ML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

The role involves designing and developing machine learning models and data engineering solutions for AIOps, focusing on multi-domain observability data and real-time anomaly detection.

Zelis

AIOps Lead, Software Engineering

Boston, MA · On-site

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 ...

Zelis

AIOps Lead, Software Engineering

Morristown, NJ · On-site

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 ...

Zelis

AIOps Lead, Software Engineering

Plano, TX · On-site

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 ...

Zelis

AIOps Lead, Software Engineering

Morristown, NJ · On-site

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 ...

Zelis

AIOps Lead, Software Engineering

Atlanta, GA · On-site

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 ...

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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, and why are they important?

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.

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Observability Aiops Engineer jobs near you
Infographic showing various Observability Aiops Engineer job openings in the United States as of July 2026, with employment types broken down into 10% As Needed, 54% Full Time, 1% Part Time, 1% Contract, and 34% Nights. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution.
Sr. Observability Engineer

Sr. Observability Engineer

CTG

Remote

$111K - $151K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
CTG is seeking an experienced Sr. Observability Engineer to lead the architecture, engineering, and optimization of enterprise observability platforms supporting large-scale infrastructure and applications. This role involves driving platform reliability, scalability, AIOps initiatives, and observability governance while collaborating with cross-functional technology teams.
Responsibilities:
• Lead the architecture, design, and implementation of enterprise observability platforms.
• Design scalable monitoring solutions using technologies such as Dynatrace, Datadog, IBM SevOne, and ServiceNow ITOM .
• Develop and enforce observability standards, instrumentation strategies, governance models, and data architectures.
• Drive AIOps initiatives , including intelligent automation, Davis AI, causal analysis, and proactive root cause identification.
• Optimize enterprise monitoring environments by reducing alert fatigue, controlling log growth, and improving platform cost efficiency.
• Collaborate with engineering, architecture, operations, business stakeholders, and vendors to deliver enterprise monitoring solutions.
• Mentor engineers and provide technical leadership across observability initiatives.
• Develop technical standards, documentation, architectural guidance, and best practices.
• Ensure compliance with enterprise security, audit, risk management, and regulatory requirements.
Qualifications:
Required:
• 10+ years of combined education and professional experience in systems engineering, infrastructure architecture, or enterprise platform engineering.
• Extensive experience designing and scaling enterprise observability platforms.
• Expert knowledge of Dynatrace, IBM SevOne, Datadog, or comparable enterprise monitoring technologies.
• Strong experience with observability architecture, metrics, logs, traces, alerting strategies, and data modeling.
• Hands-on expertise with AIOps, AI-driven analytics, intelligent automation, and root cause analysis.
• Strong understanding of IT Service Management (ITSM), infrastructure lifecycle, and enterprise architecture.
• Excellent analytical, troubleshooting, communication, and leadership skills.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Preferred:
• Bachelor's degree in Computer Science, Computer Engineering, or a related discipline.
• 10+ years of infrastructure engineering or enterprise architecture experience.
• Experience integrating observability platforms with ServiceNow ITOM and enterprise IT operations tools.
• Experience with cloud infrastructure, virtualization, distributed systems, and large-scale enterprise environments.
• Proven ability to translate complex business requirements into scalable technical solutions.
• Experience with project estimation, budgeting, and technical planning.
Company:
CTG, a Cegeka company, is at the forefront of digital transformation, offering innovative IT solutions and services that accelerate your strategy and project momentum. Founded in 1966, the company is headquartered in Buffalo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About CTG

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Come join us and grow your career with CTG! CTG has worked with this international, Fortune 500 end-client for over 15 years! Apply with CTG for this exciting opportunity!

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

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