AI Ops Engineer

Fremont, CA, US • Posted 12 hours ago • Updated 12 hours ago

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Job Details

Skills

Amazon Web Services
Analytical Skill
Artificial Intelligence
BMC Remedy
Change Management
Cloud Computing

Summary

We are looking for AI Ops Engineer for our client in Fremont, CA

Job Title: AI Ops Engineer

Job Location: Fremont, CA

Job Type: Contract

Job Overview:

Pay Range: $55hr - $60hr

The AI Ops Engineer is responsible for monitoring, analyzing, and maintaining IT systems using automation and AIOps practices.
This role focuses on proactive monitoring, incident management, and improving system reliability through automation and operational best practices.
The candidate will collaborate with cross-functional teams to ensure system performance, security, and continuous improvement.

Experience:

5+ years of experience in IT operations or L1 support roles.
Exposure to AIOps environments or automated monitoring solutions is preferred.

Responsibilities:

Monitor alerts proactively and detect anomalies from logs.
Perform daily system health checks until full automation is implemented.
Follow status checks and operational procedures as defined in runbooks.
Create and update runbooks and SOPs to reflect current processes.
Update system health status periodically in documentation tools.
Acknowledge incidents promptly and route them to appropriate teams.
Provide timely updates for high-priority incidents and ensure resolution within defined SLAs.
Communicate effectively with users regarding incident status and requests.
Complete service tasks within SLA timelines.
Follow documented procedures and maintain compliance with operational standards.
Collaborate with data engineers, DevOps, and business teams to ensure system reliability and security.
Implement best practices in machine learning operations and production environments.
Ensure compliance with enterprise data security, governance, and regulatory requirements.

Skills:

IT monitoring tools such as Splunk, Nagios, Zabbix, and Prometheus.
Scripting using PowerShell, Python, or Shell.
Log monitoring and anomaly detection.
Confluence and SharePoint for documentation and reporting.
ITIL processes including incident, problem, and change management.
Ticketing systems such as ServiceNow, Jira, and Remedy.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and documentation skills.
Ability to follow and maintain runbooks and SOPs.

Qualification And Education:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.

Should Have:

ITIL Foundation Certification.
Experience with anomaly detection, time-series forecasting, and log analysis.
Certifications in monitoring tools or cloud platforms such as AWS or Azure.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: CA_AIOE_0330
Posted 12 hours ago

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