Lead MLOps Engineer (Databricks)

Location: Remote for qualified candidates living outside a 50-mile radius of Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; or Tempe, Arizona. Hybrid for qualified candidates within a 50-mile radius of these hub locations. Candidates must be eligible to work in the United States immediately; visa sponsorship is not available.

Salary: $100,000–$200,000 per year, plus potential annual incentive pay of up to 15% of base salary.

Company

hirify.global is an insurance and financial services organization focused on helping customers, investing in communities, and improving everyday life.

What you will do

• Own the performance, quality, production readiness, governance, lineage, and cost optimization of innovation projects running on Databricks.
• Design and operate Bronze–Silver–Gold medallion architectures with data quality controls, schema management, and Delta Lake tuning.
• Optimize Spark queries, partitioning, caching, and Databricks cluster sizing to improve application performance.
• Manage model lifecycles with MLflow, including experimentation, deployment, retraining, retirement, and drift detection.
• Define production handoff standards covering runbooks, self-healing, incident targets, governance, FinOps, and observability.
• Set technical direction, mentor engineers, and integrate agentic AI into validation, pipeline generation, testing, monitoring, and documentation.

Requirements

• Immediate U.S. work authorization is required; sponsorship is not available.
• At least one year of production experience running Databricks at the application layer, including Delta Lake, Unity Catalog, PySpark, and medallion architecture.
• Experience operating production machine-learning systems, handling incidents, writing root-cause analyses, and detecting model drift or degradation.
• Hands-on experience with MLflow 3.0, model registries, experiment tracking, deployment automation, retraining pipelines, and drift detection.
• Production-grade Python, PySpark, SQL, AWS, CI/CD for data and ML pipelines, and testing strategies for non-deterministic systems.
• Experience with FinOps, data lineage, observability, automated incident ticketing, production handoffs, runbooks, and self-healing patterns.

Nice to have

• Experience with Omnigent, Databricks’ open-source agent meta-harness.

Culture & Benefits

• Lead individual-contributor role with technical leadership responsibilities and no people management.
• Work on high-visibility innovation initiatives involving Databricks and agentic AI.
• Health, dental, vision, telemedicine, mental health, and wellbeing programs.
• Training, tuition assistance, mentoring, and employee resource groups.
• Paid time off, parental leave, paid holidays, life leave, bereavement leave, and community service or education support days.
• 401(k) plan with company contributions of up to 7% of salary, financial coaching, and other financial benefits.