AIops Engineer

Overview

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

Skills

Machine Learning Operations (ML Ops)
Machine Learning (ML)
Performance Monitoring
Amazon Web Services
Amazon SageMaker
Amazon S3

Job Details

Job Title: AIops Engineer
Location: Atlanta GA
Work mode: Hybrid

Core Job Skills Required

  • Experience with AIOps platforms and operational analytics
  • Knowledge of machine learning for IT operations (MLOps/AIOps) to generate actionable insights
  • Strong hands-on expertise in AWS services (Lambda, Glue, S3, Kinesis, SageMaker, CloudWatch)
  • Familiarity with hybrid integrations between on-prem systems and AWS cloud
  • Experience with IT Operations tools: Quantum Metrics, Dynatrace (DT), ServiceNow CMDB, Riverbed, etc
  • API development and integration skills (REST, GraphQL, event-driven architectures)
  • Knowledge of observability platforms and performance monitoring tools
  • Strong problem-solving and systems-thinking skills to identify new opportunities from existing tools/data
  • Familiarity with discovery and automation frameworks (e.g., CMDB-driven auto-discovery)
  • Strong communication skills to tell a data-driven story and evangelize AIOps adoption
  • Experience working in cross-functional innovation teams (Ops, Cloud, Security)

Ashu Atreja
Team Lead - Recruitment

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