Lead Software Engineer-PYTHON

Overview Lead Software Engineer role within Enterprise Technology’s risk technology team, focusing on building secure, scalable software and automation to support risk and control workflows. You will drive AI-assisted engineering practices, deliver production-grade solutions, and coordinate with large developer communities to scale platforms. The role emphasizes reliability, security, and data governance in a fast-paced financial services setting. This is an opportunity to shape risk-focused technology at scale and work alongside cross-functional teams to improve delivery and operational outcomes. Compensation / Benefitscompetitive total rewardscomprehensive health care coverageretirement savings plantuition reimbursementmental health supportbackup childcare ResponsibilitiesDesign, implement, test, and deliver automation (including LLMs/agents) to reduce manual work across AO workstreams and remediation tasks (e.g., security vulnerabilities, FARM findings)Own governance of application risk, controls, and compliance, partnering with Technology Risk & Controls and managing Technology Lifecycle ManagementPromote enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and reliability with validated standards (secure coding, peer review, automated testing)Ensure security and data accountability through strong authentication, vulnerability hygiene, proper data handling, and compliant storage/retentionCoordinate across product and engineering at scale to prioritize and drive execution for AO workstreams, sharing knowledge and promoting pattern reuseOperate resilient production services end-to-end with monitoring, incident/change management, and site reliability practices, and drive data-driven improvements to service levelsLead adoption of AI-assisted development tools with clear expectations for output validation and secure data handlingFoster cross-team collaboration and coach developers, aligning execution across large communities to achieve business objectives Key requirements5+ years of software engineering experience with formal training or certificationProven track record delivering production-grade software in at least one technology stackAdvanced development experience in Java or PythonExperience building scalable data processing, Big Data, and ETL pipelines (e.g., Hortonworks and/or AWS-based)Working knowledge of core infrastructure and ability to troubleshoot networking issuesStrong reliability, scalability, performance, security, and observability (SRE) capabilities with tools like Grafana, Dynatrace, Prometheus, Datadog, SplunkAbility to learn new technologies, mentor others, and lead responsible use of AI-assisted engineering tools with secure data handlingExperience leading AI-assisted software development tools and setting expectations for AI outputs’ correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows and coaching teams on compliant adoptioncollaborationmentoringleadershipJava or Python developmentBig Data/ETL pipelines (Hortonworks, AWS)AI-assisted engineering tools and practices