Splunk Observability & AIOps Engineer ___ Jersey City, NJ (Onsite) ___ Contract
Splunk Observability & AIOps Engineer ___ Jersey City, NJ (Onsite) ___ Contract
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Job Description
Job Summary:
We are seeking a skilled Splunk Observability & AIOps Engineer to join our team in Jersey City NJ on an onsite contract basis. The ideal candidate will have deep expertise in architecting building and managing Enterprise Observability and AIOps platforms with strong hands-on experience in Splunk Observability Cloud Splunk Cloud Splunk ITSI and Datadog.
Key Responsibilities:
- Design and implement end-to-end Enterprise Observability and AIOps solutions.
- Build integrations across monitoring logging tracing and alerting systems using tools like Splunk Observability Cloud Splunk Cloud Splunk ITSI and Datadog.
- Develop and maintain dashboards alert rules and correlation searches in Splunk and other observability platforms.
- Drive automation and intelligence into operations using AIOps capabilities including predictive analytics anomaly detection and event correlation.
- Work with development infrastructure and DevOps teams to ensure monitoring coverage across applications infrastructure and services.
- Optimize ingestion and processing of logs metrics and traces from various sources into Splunk and related platforms.
- Implement and maintain runbooks documentation and standard operating procedures (SOPs) for observability practices.
Required Skills & Qualifications:
- Overall IT Experience: 9-12 Years
- 5 years of experience in IT Operations Site Reliability Engineering or Observability roles.
- Strong expertise in Splunk Observability Cloud Splunk Cloud and Splunk ITSI.
- Hands-on experience with Datadog in an enterprise environment.
- Deep understanding of monitoring logging distributed tracing and telemetry collection.
- Experience in designing and implementing AIOps use cases including event correlation anomaly detection and root cause analysis.
- Ability to integrate observability platforms with CI/CD pipelines and ITSM tools.
- Solid knowledge of cloud infrastructure (AWS Azure GCP) and microservices architectures.
- Excellent problem-solving documentation and communication skills.
Preferred Qualifications:
- Splunk or Datadog certifications (e.g. Splunk Certified Architect Datadog Certified).
- Experience with scripting languages such as Python Bash or PowerShell.
- Familiarity with configuration management and infrastructure-as-code tools (e.g. Terraform Ansible).
- Prior experience in financial services or banking environments is a plus.
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Employment Type
Full Time
