AIOps ML Engineer — Real-Time Observability

VOLTO Consulting; Los Angeles (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

VOLTO Consulting is seeking a Senior AIOps ML Engineer to join our Woodland Hills team onsite for a 6‑month engagement. You will own the lakehouse architecture, design data schemas, and build robust data pipelines from OTel to Kafka and the lakehouse with strong schema governance.

You will design, train, and deploy ML models for streaming anomaly detection across six mart domains, implement low-latency inference, and collaborate with security and operations partners to productionize the platform.

Qualifications

• Lakehouse Architecture & Data Engineering.
• Design and evolve the Lakehouse schema (Delta Lake / Apache Iceberg) for multi-domain observability data at petabyte scale.
• Build and maintain ingestion pipelines from the OTel Collector through Kafka to the Lakehouse with exactly-once semantics and strict schema enforcement.
• Create dbt transformation models to generate mart-ready denormalized fact and dimension tables for the six domains.

Responsibilities

• Lakehouse Architecture & Data Engineering.
• Schema Design: Design and evolve the Lakehouse schema (Delta Lake / Apache Iceberg) for multi-domain observability data at petabyte scale.
• Pipeline Engineering: Build and maintain robust ingestion pipelines from the OTel Collector through Kafka to the Lakehouse, ensuring exactly-once semantics and strict schema enforcement.
• Data Transformation: Implement dbt transformation models to generate mart-ready, denormalized fact and dimension tables for each of the six domains.
• Data Quality Governance: Define and enforce data quality contracts, SLAs for data freshness, completeness, and cardinality budgets per mart.
• Performance Optimization: Optimize query performance with partitioning, Z-ordering, bloom filters, and materialized views for time-series patterns.

Skills

Kafka + Streaming

Lakehouse (Delta / Iceberg)

ML (Anomaly detection + time-series)

Observability (OTel, APM, Logs)

MLOps (feature store, drift, retrain)

SQL + Python (strong)

Tools

Flink

Spark

Delta Lake

Iceberg

OTel

Kafka

Job description

VOLTO Consulting is seeking a Senior AIOps ML Engineer to join our Woodland Hills team onsite for a 6‑month engagement. You will own the lakehouse architecture, design data schemas, and build robust data pipelines from OTel to Kafka and the lakehouse with strong schema governance.

You will design, train, and deploy ML models for streaming anomaly detection across six mart domains, implement low-latency inference, and collaborate with security and operations partners to productionize the platform.