Java Lead Software Engineer

In this role you will design and deliver secure, scalable cloud-based payment technology solutions within the Regulatory Reporting team. You will collaborate with agile squads to drive improvements and support business objectives, shaping data-driven insights and reliable platforms. You’ll work across multiple technical areas to impact both team outcomes and broader firm goals. This is an opportunity to contribute to trusted technology that underpins payments regulation, while growing your expertise in a dynamic, inclusive culture.

• End-to-end software delivery for Python-based services, batch jobs, and data pipelines
• Write secure, high-quality Python code with emphasis on performance and testability
• Create design artifacts for complex workflows including orchestration, processing logic, dependencies, failure handling, and SLIs/SLAs
• Analyze data to produce reports, metrics, and visualizations for business insights
• Identify data quality issues, drift, and bottlenecks to drive improvements
• Collaborate in an agile environment delivering projects with ownership and accountability
• Contribute to internal libraries, evaluate new technologies, and support engineering communities
• Leverage enterprise AI-assisted development tools to improve code quality and delivery speed while ensuring secure coding and peer review
• Apply SDLC tooling and automation to maximize value of automation initiatives

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on experience in system design, Python development, testing, and production stability
• Strong Python proficiency for data processing, APIs/services, and scripting
• Experience with data engineering platforms like PySpark, Databricks, Airflow
• Relational databases and SQL; familiarity with NoSQL and data modeling
• Understanding of data lifecycle including ingestion, validation, transformation, storage, governance and lineage
• Ability to develop and maintain code in large enterprise environments with established controls
• Solid understanding of SDLC and agile methodologies
• Familiarity with CI/CD, resiliency, security best practices, and observability
• Experience with AI-assisted development tools and evaluating AI outputs, with responsible AI practices

• Collaborative mindset
• Strong ownership and accountability
• Problem-solving and analytical thinking
• Python (data processing, APIs, scripting)
• PySpark
• Databricks