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Lead Software Engineer - Home Lending Technology

Job Description - Lead Software Engineer - Home Lending Technology

Description

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

     


  • Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas, Snowflake/Databricks


     




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