HP / OpenText NMMI SME with Kafka

Overview

Remote
On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

OpenText NNMi
Kafka
Linux/Unix
Bash
Python

Job Details

Position : HP / OpenText NMMI SME with Kafka
Location : Dallas Texas ( Onsite/ Hybrid/Remote)
Duration : Contract: 12 Months
Experience : 10+ Years

Role Summary:
We are seeking a highly skilled HP/OpenText NNMi Engineer with hands-on experience in implementing and configuring NNMi in complex enterprise environments. The ideal candidate will also have strong expertise in integrating NNMi with Kafka-based data pipelines and other IT infrastructure tools to enable real-time network monitoring and observability.

Key Responsibilities:
Lead the implementation and configuration of HP/OpenText NNMi for network monitoring.
Design and deploy NNMi policies, views, dashboards, and alerting mechanisms.
Integrate NNMi with Kafka data pipelines to enable real-time event streaming and analytics.
Develop custom scripts and automation for enhanced monitoring and data flow.
Collaborate with network, infrastructure, and DevOps teams to define monitoring and integration requirements.
Integrate NNMi with third-party tools (e.g., ServiceNow, Splunk, Grafana).
Ensure high availability, performance tuning, and scalability of the NNMi environment.
Document architecture, configurations, and operational procedures.

Required Skills & Experience:
4+ years of hands-on experience with HP/OpenText NNMi implementation and administration.
Strong understanding of NNMi architecture, components, and configuration best practices.
Experience integrating NNMi with Kafka for real-time data pipeline monitoring.
Proficiency in Linux/Unix systems and scripting languages (e.g., Bash, Python).
Familiarity with SNMP, ICMP, and other network monitoring protocols.
Experience with REST APIs, webhooks, and tool integrations.
Knowledge of networking fundamentals and performance metrics.

Preferred Qualifications:
HP/OpenText NNMi certification or equivalent.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform).
Exposure to containerized environments (Docker, Kubernetes).
Familiarity with CI/CD pipelines and automation tools.

Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and documentation abilities.
Ability to work independently and in cross-functional teams.

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