Senior Manager-MLOps (Austin)
Core
Build and lead the engineering team powering H-E-B's enterprise Machine Learning platform on Google Cloud Platform (GCP), treating MLOps as a product to empower Data Scientists and ML Engineers.
Role type
Senior Engineering Manager – MLOps Platform
Builds
End-to-end, self-service ML lifecycle platform (feature stores, model registry, CI/CD, automated pipelines) and scalable inference infrastructure on GCP.
Domain
Retail / Enterprise Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps & AI Tooling (Vertex AI, Kubeflow, MLflow, Ray, Feast, Triton, vLLM), GCP & Cloud Infrastructure (Vertex AI, BigQuery, GKE, Cloud Composer, Pub/Sub, Cloud Storage), Infrastructure as Code (Terraform), Container Orchestration (Docker, Kubernetes), CI/CD automation, Distributed Systems (Python), Data Platform Acumen (Spark, SQL)
Preferred skills
Migrating legacy ML workloads, scaling GenAI/LLM pipelines, hybrid/multi-cloud ecosystems (AWS, Databricks), Platform-as-a-Product culture
Technologies
Vertex AI, Kubeflow, MLflow, Ray, Feast, Triton, vLLM, GCP, BigQuery, GKE, Cloud Composer, Airflow, Pub/Sub, Cloud Storage, Terraform, Docker, Kubernetes, Python, Spark, SQL
Responsibilities
Manage a team of MLOps and platform engineers including hiring, coaching, and performance management; Architect and deliver cohesive ML lifecycle platforms; Partner with Data Scientists to improve developer experience via self-service tooling; Establish high-throughput batch and real-time inference infrastructure; Leverage enterprise data platforms for data ingestion, governance, and cost optimization.
Seniority
Senior, hands-on IC with management responsibilities
