Lead Software Engineer - Home Lending Technology
Summary
Leads the design, development, and troubleshooting of secure, high-quality software for home lending systems using Java/Spring Boot, Python, AWS, and PySpark.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- 7+ years hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages - Java / Spring Boot or Python 3
- Proficient in Pyspark
- Proficient in AWS Technologies
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Preferred qualifications, capabilities, and skills
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Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas, Snowflake/Databricks