Full Stack Lead Software Engineer- Python

Overview As a Lead Software Engineer in the Data Management, Data Tech team, you drive the design, development, and delivery of trusted technology products in a secure, scalable way. You work as a core technical contributor across multiple domains to support business objectives within an agile setting. You lead with an AI-driven approach and tackle large-scale, real-time engineering challenges using Python, shaping systems that are resilient and performant. You will influence engineering culture, champion responsible AI, and collaborate with cross-functional teams to accelerate delivery and quality. Compensation / Benefitscomprehensive health careretirement savings planbackup childcaretuition reimbursementmental health supportfinancial coaching ResponsibilitiesDevelop creative software solutions, troubleshoot complex problems, and apply non-routine techniquesLead with an AI-driven approach in daily tasksDesign and develop real-time, mission-critical systems using PythonTackle large-scale engineering challenges with Python and related techImprove performance, stability, and overall engineering qualityFoster a culture of creativity, inclusion, and technical excellenceLead architectural evaluations with external and internal stakeholdersDrive communities of practice to promote new technologiesPromote diversity and inclusion within the team cultureAdopt enterprise AI-assisted engineering practices and standardized validation (secure coding, peer review, automated testing)Leverage SDLC tools and AI-assisted development/automation to increase value and efficiency Key requirements5+ years of software engineering experienceHands-on experience in system design, application development, testing, and operational stabilityExperience with enterprise-approved LLMs (e.g., Claude, ChatGPT) as controlled componentsAutomation and continuous delivery proficiencyFull SDLC proficiencyAdvanced understanding of agile methods (CI/CD, Application Resiliency, Security)Experience in cloud, AI/ML, or related technical disciplinesKnowledge of financial services IT environmentsPractical cloud-native experienceExperience leading AI-assisted software development tools adoption and setting validation expectations for AI outputsleadershipcollaborationcommunicationPythonCI/CDAI/GenAI tooling