Senior Lead Software Engineer - Java

Job Summary

As a Senior Lead Software Engineer in the Finance Technology Team, you will design and deliver trusted, market‑leading technology products in a secure, stable, and scalable way. You will carry out critical technology solutions across multiple technical areas to support our business objectives. You’ll work as a seasoned member of an agile team, shaping the direction of technology and process implementations.

Your role will help foster a diverse, equitable, and inclusive team culture while driving impactful results.

• Execute software solutions, design, development, and technical troubleshooting to build innovative solutions
• Define and lead technology and process implementations across groups to achieve firmwide objectives
• Create secure, high‑quality production code and maintain algorithms that run synchronously with systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
• Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
• Contribute to software engineering communities of practice and events exploring new and emerging technologies
• Add to a team culture of diversity, equity, inclusion, and respect
• Provide leadership and high‑level direction to multiple feature teams both regionally and globally

• Formal training or certification in software engineering concepts
• Hands‑on experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages such as Java or Spark
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
• Knowledge of the Software Development Life Cycle
• 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)
• Ability to solve data‑oriented problems using technologies such as SQL, Relational DB, Spark, No
  
  SQL, optimizing for performance

• Experience with Spark performance tuning of complex calculations on large datasets
• Experience delivering production changes to complex software using Scala and Spark
• Formal training or certification on software engineering concepts