Senior MLOps Platform Engineer - SageMaker on AWS

Russell Tobin; Plano (TX); On-site; USD 110,000 - 131,000; Full time

Benefits offered by this job

Healthcare coverage and benefits

401(k) Retirement Savings

Life & Disability Insurance

Employee discounts and programs

Job summary

Russell Tobin is seeking a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio in Plano, TX. The role covers the full ML lifecycle from data discovery through deployment and monitoring.

You will migrate to a unified, governed platform on AWS Landing Zone 2, with domain/project setup, multi-tenant configuration, and robust observability. The contract is 12 months with extension, onsite in Plano.

Qualifications

• 10-15 years software engineering in cloud infra or ML platform operations.
• 5+ years AWS with SageMaker (Studio, Pipelines, Registry, Endpoints, Feature Store).
• 3+ years in production MLOps pipelines: training, versioning, deployment, monitoring.

Responsibilities

• Set up SageMaker Unified Studio platform with multi-environment promotion workflows.
• Build MLOps pipelines for data extraction, preprocessing, training, evaluation, and model registration.
• Manage SageMaker Model Registry with cross-account promotion, versioning, and lineage tracking.
• Configure MLflow experiment tracking with auto-logging of params, metrics and artifacts.
• Set up IAM including Okta SSO, SailPoint entitlements and execution roles for pipelines.
• Build model serving with real-time endpoints and batch prediction workflows.
• Set up model monitoring for data/model drift and performance degradation.
• Configure data catalog with searchable datasets and lineage tracking.
• Own platform operations including observability (CloudWatch, Datadog) and logging.

Skills

SageMaker

MLOps pipelines

AWS

Terraform / CDK

Kubernetes

Tools

SageMaker Studio

Snowflake

MLflow

Terraform

Kubernetes (EKS)

Job description

Russell Tobin is seeking a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio in Plano, TX. The role covers the full ML lifecycle from data discovery through deployment and monitoring.

You will migrate to a unified, governed platform on AWS Landing Zone 2, with domain/project setup, multi-tenant configuration, and robust observability. The contract is 12 months with extension, onsite in Plano.