Senior AI Systems Engineer - Stateful Data Platform (Hybrid)

EY

Toledo (OH)

Hybride

USD 107 000 - 177 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Hybrid work model
Competitive compensation and benefits
Flexible vacation policy

Résumé du poste

EY in the United States invites an AI Systems Engineer to own the stately backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that hold and move state across cloud, on-prem, edge, client-managed, and air-gapped environments. You will ensure durability, consistency, and reliable access for agentic AI workloads.

The role blends data engineering with platform reliability, requiring expertise in PostgreSQL, Redis/Valkey, vector/graph stores, Kafka, NATS,

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related technical field.
  • 8+ years operating production data infrastructure or streaming systems at scale.
  • Hands-on PostgreSQL and caching (Redis/Valkey) with HA and backup/recovery.
  • Experience with vector/graph DBs (Qdrant, Milvus, PGVector, Neo4j).
  • Proficient in Kafka, NATS, Debezium, Flink and CloudEvents.
  • Kubernetes with persistent volumes and storage like MinIO/OpenEBS.
  • Ability to define data/schema contracts and ownership boundaries.

Responsabilités

  • Own memory and data stores across environments: relational and durable state, vector and graph stores, object storage.
  • Own event streaming and async messaging: Kafka, NATS, Debezium, Flink, CloudEvents.
  • Ensure data durability, consistency, recoverability, and cross‑environment data movement.
  • Build streaming and CDC pipelines with schema governance to avoid breaking changes.
  • Make state multi-tenant and portable with isolation and performance guarantees.
  • Provide data and lineage substrate for governance and observability tooling.

Connaissances

Stateful data infrastructure
Data durability
Multi-environment design
Kubernetes operations
Data contracts and governance
Communication across teams
Automation and IaC mindset

Formation

Bachelor’s or Master’s degree in CS or related field

Outils

PostgreSQL
Redis/Valkey
Qdrant/Milvus/PGVector
Neo4j
MinIO/OpenEBS
Kafka/Strimzi
NATS JetStream
Debezium
Flink
CloudEvents/Schema Registry
Kubernetes
MinIO/OpenEBS

Description du poste

EY in the United States invites an AI Systems Engineer to own the stately backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that hold and move state across cloud, on-prem, edge, client-managed, and air-gapped environments. You will ensure durability, consistency, and reliable access for agentic AI workloads.

The role blends data engineering with platform reliability, requiring expertise in PostgreSQL, Redis/Valkey, vector/graph stores, Kafka, NATS,

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