Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
CloudOps
AIOPS
CI/CD
SRE
ITSM
Azure
DevOps
Job Details
Role: CloudOps AIOPs Engineer
Locations: New York, NY (Fully Onsite)
Duration: 12+ Months Contract
Role Overview:
- We are looking for a proactive and analytical AIOps Engineer to design, implement, and optimize AI-driven operational intelligence solutions.
- This role will focus on leveraging machine learning, event correlation, and automation to enhance observability, reduce incident noise, and improve system reliability across cloud and hybrid environments.
Key Responsibilities:
- Implement and manage AIOps platforms to enable intelligent alerting, anomaly detection, and root cause analysis.
- Integrate AIOps capabilities with observability tools (e.g., New Relic) and incident management systems (e.g., PagerDuty).
- Develop event correlation rules, noise reduction strategies, and predictive analytics to support proactive operations.
- Collaborate with SRE, Cloud, and Application teams to embed AIOps into CI/CD and production workflows.
- Automate operational tasks and remediation workflows using scripting and orchestration tools.
- Monitor and fine-tune AIOps models to ensure accuracy, relevance, and performance.
- Contribute to the observability and RunOps strategy, driving continuous improvement through data-driven insights.
Required Skills & Experience:
- Experience with AIOps platforms (e.g., Moogsoft, BigPanda, Dynatrace, Splunk ITSI, or similar).
- Strong understanding of observability concepts (metrics, logs, traces) and tools like New Relic, Datadog, or Prometheus.
- Proficiency in scripting and automation (Python, Bash, PowerShell).
- Experience with cloud platforms like AWS (preferred), Azure, or Google Cloud Platform and DevOps/SRE practices.
- Experience with event correlation, anomaly detection, and ML-based alerting.
- Working knowledge of IDP platforms and developer enablement tools.
- Practical experience using GitHub Copilot for automation and code generation.
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Exposure to machine learning models for operational analytics.
- Experience with ITSM tools (e.g., ServiceNow) and incident response workflows.
- Certifications in cloud platforms or AIOps tools.
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