AIOps / Cloud Operations Engineer

KMM Technologies, Inc.; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

KMM Technologies, Inc. seeks an experienced AIOps/Cloud Operations Engineer to support enterprise production environments, cloud infrastructure, and observability platforms.

You will leverage AIOps, observability tools, and automation to proactively identify issues, reduce alert noise, and improve reliability and performance across systems. The role requires strong production support, cloud operations expertise, and scripting for automation, with collaboration across DevOps, SRE, and

Qualifications

• Experience in production support and ITIL processes.
• Cloud operations experience across major cloud platforms.
• Strong scripting skills in Python, Bash, or PowerShell.
• Experience with AIOps and observability platforms.

Responsibilities

• Monitor and support production applications, cloud infrastructure, and enterprise IT systems.
• Implement and maintain AIOps solutions for incident detection, event correlation, anomaly detection, and RCA.
• Manage cloud operations across AWS, Azure, or GCP.
• Implement and maintain observability using metrics, logs, traces, dashboards, and alerts.
• Troubleshoot production incidents, perform RCA, and implement preventive measures.
• Participate in incident, problem, and change management processes.
• Develop and maintain monitoring dashboards, alerts, and operational reports.
• Automate repetitive tasks using scripting languages.

Skills

AIOps

Production Support

Cloud Operations

Observability & Monitoring

Scripting & Automation

DevOps & Infra

Education

Bachelor's degree or equivalent

Tools

Dynatrace

Splunk

Grafana

New Relic

OpenTelemetry

AppDynamics

Job description

Job Title: AIOps / Cloud Operations Engineer

Job Summary

We are seeking an experienced AIOps & Cloud Operations Engineer to support enterprise production environments, cloud infrastructure, and observability platforms. The ideal candidate will have strong experience in production support, cloud operations, intelligent monitoring, incident management, and automation.

The candidate will leverage AIOps capabilities, observability tools, and automation frameworks to proactively identify issues, reduce alert noise, accelerate root cause analysis, and improve the reliability and performance of production systems.

Key Responsibilities

• Monitor and support production applications, cloud infrastructure, and enterprise IT systems.
• Implement and maintain AIOps solutions to automate incident detection, event correlation, anomaly detection, and root cause analysis.
• Manage cloud operations across AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Implement and maintain observability solutions using metrics, logs, traces, dashboards, and alerts.
• Troubleshoot production incidents, perform root cause analysis (RCA), and implement preventive measures.
• Participate in incident, problem, and change management processes.
• Develop and maintain monitoring dashboards, alerts, and operational reports.
• Automate repetitive operational tasks using Python, Bash, PowerShell, or similar scripting languages.
• Collaborate with DevOps, SRE, application development, and infrastructure teams to improve system availability and performance.
• Support on-call rotations and participate in major incident resolution when required.
• Identify opportunities to reduce operational overhead through AI-driven automation and predictive analytics.
• Maintain operational documentation, runbooks, knowledge articles, and incident reports.
• Track service-level agreements (SLAs), service-level indicators (SLIs), and service-level objectives (SLOs).

Required Technical Skills

1. AIOps

• Experience with AIOps platforms and intelligent IT operations.
• Event correlation, anomaly detection, alert noise reduction, and predictive analytics.
• Automated incident detection and root cause analysis.

2. Production Support

• Experience supporting business-critical production applications and infrastructure.
• Incident management, problem management, troubleshooting, and RCA.
• Experience with ITIL processes and SLA management.

3. Cloud Operations

• Hands-on experience with AWS, Microsoft Azure, or GCP.
• Cloud infrastructure monitoring, performance optimization, and troubleshooting.
• Understanding of cloud networking, compute, storage, and access management.
• Experience with cloud-native services and infrastructure automation is preferred.

4. Observability and Monitoring

• Experience with monitoring and observability platforms such as:
• Dynatrace
• Splunk
• Grafana
• New Relic
• OpenTelemetry
• AppDynamics

5. Scripting and Automation

• Python, Bash, PowerShell, or similar scripting languages.
• Automation of monitoring, incident response, and routine operational tasks.

6. DevOps and Infrastructure

• Familiarity with CI/CD pipelines, Docker, Kubernetes, and infrastructure as code is preferred.
• Understanding of distributed systems, microservices, APIs, and cloud-native architectures.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Experience working in enterprise production operations or cloud operations environments.
• Relevant cloud certifications are a plus.
• Experience with SRE practices, ITIL-based operations, and automated incident response is desirable.

Ideal Candidate Profile

The ideal candidate will combine production support expertise with cloud operations and observability experience, using AIOps tools to improve incident detection, troubleshooting, automation, and overall system reliability.