Software Engineer, ML Platform will support an Agile team productionizing machine learning applications and systems at scale.

Build and maintain deployment pipelines, environments, and containerized services for production systems
Develop components of real-time decisioning services, including event processing, integrations, and decision logging
Implement observability with metrics, structured logging, tracing, alerting, and dashboards for production services
Design and manage the model lifecycle: training pipelines, experiment tracking, model registry, versioning, and promotion from staging to production
Implement model monitoring for prediction drift, feature drift, data quality checks, and performance against labeled outcomes
Collaborate on a cross-functional Agile team to maintain clean interfaces between data, decision logic, and services
Apply CI/CD best practices to deploy ML models and application code reliably
Maintain well-managed code to reduce vulnerabilities; support risk-governed model handling and follow Responsible and Explainable AI best practices

6+ years of professional software engineering experience building and operating production services
Strong Python skills, including testing, packaging, and production-quality code
Experience with Docker and container-based deployment; working knowledge of Kubernetes
Experience building or maintaining CI/CD pipelines
Familiarity with cloud platforms such as GCP, including IAM, networking, and storage basics
Experience instrumenting production services with metrics, structured logging, and alerting using tools such as Splunk or Grafana
Knowledge of distributed systems fundamentals including retries, idempotency, and failure handling

Exposure to MLOps tools such as MLflow, feature stores, or model serving frameworks
Experience with streaming platforms such as Kafka
Experience with workflow orchestration tools including Airflow, Dagster, or Prefect
Experience with Databricks, Spark, or Delta Lake
Familiarity with rules engines or policy frameworks

Medical, Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products

This position is currently not eligible for employment visa sponsorship (e.g., H-1B visa).

Midvale, UT (Hybrid)
Hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center
Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047

Software Engineer, ML Platform

Job Description