Principal Software Engineer, AI Platform Engineering

Saviynt AI Platform ArchitectSaviynt is a leader in identity security, delivering an AI-powered platform that governs and secures access to applications, data, and business processes for global enterprises and government institutions. Built for the AI era, Saviynt helps organizations move faster — securely and compliantly.About The RoleYou set the architectural direction for how training data flows, evolves, and is governed across the AI Platform. You define the standards ML engineers and scientists build on, and ensure every training signal is tenant-isolated, PII-free, and traceable from source to model.What You'll OwnAI Data Lake on GCS: bucket layout, raw to silver to gold tier separation, CMEK encryption, lifecycle rulesBatch pipelines: Spark on Dataproc for TB-scale feature backfills, Iceberg compaction, and daily S3 to GCS incremental syncStreaming pipelines: Apache Beam on Dataflow for sub-5-min CDC ingestion with exactly-once semantics and PII assertion gatesSchema registry: Avro / Protobuf schema versioning, compatibility modes, and migration playbooks for safe schema evolutionOrchestration: Flyte as primary DAG layer — task authoring standards, domain isolation, retry policies, DataCatalog memoization; evaluate Kubeflow Pipelines where relevantMulti-tenancy: strict per-tenant GCS prefix isolation, quota policies, and cross-tenant contamination validationData Anonymizer and Data Labeler microservices: strip PII and attach ML labels before signals leave each customer environmentFeature store: Feast offline (GCS Parquet) and online (Redis) with point-in-time correctness and