• Build end-to-end features across a Python / Django backend and React front-end • Ship CI/CD in GitHub Actions • Use AWS to deploy via Terraform • Collaborate directly with customers and internal operations team • Turn feedback into rapid product improvements • Care for smooth 3rd party integrations • Participate in daily stand-ups, technical planning, and continuous refactoring

• Lead engineering execution for Assist Chat across web, mobile, and embedded clients. • Design scalable, secure, and resilient systems that support real-time AI interactions and large language model (LLM) integration. • Collaborate cross-functionally with product managers, designers, researchers, and AI/ML engineers to build intuitive, performant features. • Mentor and unblock engineers across the team, raising the technical bar through code reviews, pair programming, and architecture discussions. • Drive technical direction making decisions that balance velocity, quality, and safety in public safety environments. • Shape engineering culture through pragmatic leadership and a bias for action. • Steward the product lifecycle by ensuring its development, delivery and continued operation in production while addressing issues proactively to support its long-term success.

• Contributing code and tangible deliverables • Work as an advisor to help identify, educate, and foster best-in-class solutions • Write and maintain scalable enterprise-quality software while building a serverless cloud with Python • Identify new opportunities, tools, and services to enhance the custom software platform

• Develop, enhance, and maintain back-end applications. • Perform maintenance of existing systems, ensuring operation, fixes, and continuous improvements. • Work collaboratively with your team and other involved areas/stakeholders. • Participate in resolving day-to-day technical issues. • Contribute to technical solutions in a high-complexity environment within a financial ecosystem.