Lead Full Stack Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Developing and implementing highly responsive user interface components using ReactJS, python, REST APIs and RDBMS like SQL Server Design, develop, and maintain scalable data engineering solutions using Azure Databricks, PySpark, Spark SQL, and Delta Lake Design, build, and support enterprise-scale ETL and data ingestion frameworks that integrate diverse data sources, including APIs, CSV files, relational databases, Snowflake, Kafka, and other streaming platforms Designing Lakehouse architectures using Bronze, Silver, and Gold data layers Develop real-time and batch data pipelines supporting observability, monitoring, data quality, and business intelligence use cases Implement data quality, validation, reconciliation, freshness, completeness, and anomaly detection frameworks Create machine learning and AI-driven solutions using Python, Azure ML, and Azure OpenAI services Develop LLM-powered triaging and intelligent automation solutions that analyze incidents, generate root cause hypotheses, and recommend remediation actions Build AI systems capable of correlating metrics, logs, traces, telemetry, and event streams across multiple enterprise platforms Develop REST APIs and backend services to support data access, control plane, and monitoring capabilities Optimize PySpark workloads, streaming jobs, Delta tables, and Databricks environments for cost, scalability, and performance Implement data governance, lineage, and security controls using Unity Catalog and enterprise governance frameworks Participate in architecture reviews, design reviews, code reviews, testing, release readiness, and production support activities Prepare detailed technical design documents from high-level architecture and business requirements Support QA, UAT, production releases, and defect resolution across the application lifecycle Collaborate with business, product, architecture, and engineering teams to deliver scalable enterprise solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Proven experience designing and architecting large-scale, enterprise-grade applications using modern engineering, scalability, security, and reliability best practices Proven experience as a machine learning engineer or similar role Solid experience on Python, React JS, SQL Server, Azure environment Solid hands-on experience building data pipelines using Azure Databricks, PySpark, Spark SQL, Delta Lake, and Delta Live Tables Experience working with Azure Data Lake Storage, Azure Data Factory, Azure Event Hubs, Azure Key Vault, and Azure DevOps/GitHub CI/CD Experience designing and deploying AI/ML solutions in Azure (Azure OpenAI, Azure ML, Azure Search) Experience with RESTful APIs Experience with GitHub, CI/CD Solid understanding of Lakehouse architecture, including Bronze, Silver, and Gold data