Data Platform Engineer - Kafka jobs in United States
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Scalence L.L.C. · 2 weeks ago

Data Platform Engineer - Kafka

Scalence L.L.C. is seeking a Data Platform Engineer specializing in Kafka to join their dynamic team. The role involves developing cutting-edge solutions, focusing on event-driven automation and collaborating with AI/ML teams for predictive fault analytics.

Information Technology & Services
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Responsibilities

Define fault correlation across domains and perform service impact assessments
Develop event-driven automation and closed-loop scenarios, including auto-ticketing and auto-healing
Collaborate with AI/ML teams to enable predictive fault analytics and anomaly detection
Contribute to the development of AI-based FM assistants for various analytical processes

Qualification

KafkaIBM Netcool/NOIAPI developmentEvent-driven automationAnsibleAI/ML integrationRoot cause analysisAlarm enrichmentThreshold management

Required

Applicants must be able to work directly for Artech on W2
Experience in designing and developing modules for event collection, normalization, and correlation across multi-vendor network domains
Proficiency in building rules, probes, gateways, and policies within FM platforms such as IBM Netcool/NOI
Strong skills in developing custom adapters and APIs for system integrations
Capability to implement logic for alarm enrichment, delay, threshold management, and root cause analysis

Preferred

Experience with configuring and refining FM database and message bus efficiency
Familiarity with integrating FM systems with various management and ticketing systems
Knowledge of implementing automation using NOI Runbooks, Ansible, and AI/ML engines

Benefits

Inclusive and diverse work environment.
Opportunities for professional growth and development.
Supportive and collaborative team culture.

Company

Scalence L.L.C.

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In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
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