Python - AI Software Engineer III

Responsibilities

• Design, develop, troubleshoot, and maintain scalable software solutions and backend data engineering modules.
• Build and optimize secure Python backend code and PySpark data pipelines for production environments.
• Deploy and support Databricks modules with reliable performance, maintainability, and alignment to platform architecture standards.
• Use authorized AI-assisted development tools for coding, refactoring, testing, troubleshooting, and documentation while validating generated outputs.
• Create architecture and design artifacts and ensure software implementations meet design constraints.
• Analyze large financial datasets and produce visualizations and reporting to improve applications and systems.
• Participate in code reviews and collaborate with product managers, architects, and engineering teams to translate finance requirements into technical solutions.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Practical experience with system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database-querying languages.
• Proficiency in Python backend development and production PySpark data pipelines.
• Hands-on experience developing, deploying, and supporting Databricks modules.
• Experience using enterprise-authorized AI-assisted software development tools and critically evaluating their outputs for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations.
• Understanding of Snowflake, Databricks, SQL, DB2, or NoSQL databases.
• Preferred experience with Apache Spark, Kafka, or similar distributed data processing frameworks.
• Preferred exposure to cloud-native development, AWS services, AWS EMR, Glue, ECS, EKS, containerized applications, and AI/ML data platforms.

Benefits

• Competitive total rewards package with eligibility for commission-based pay and/or discretionary incentive compensation, including cash and/or forfeitable equity.
• Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Equal opportunity employer offering reasonable accommodations for religious practices, mental health needs, and physical disabilities.