• Performs activities covering the entire software development lifecycle, from requirements gathering to supporting the final deployment of the features they develop, in line with agile development processes. • Gather user requirements; • Assess and size system requirements and functionalities; • Create system prototypes; • Write code in the programming languages defined by the client; • Perform system testing; • Deploy systems according to the client's standards; • Fix system defects; • Document processes and create diagrams, documenting the solutions.

• Architect, develop, and maintain high-quality Python libraries and modules used by enterprise clients worldwide. • Ensure Python libraries and modules are secure and free from vulnerabilities in both code and dependencies. • Define, promote, and enforce Python coding conventions, linters, static analysis, and architectural guardrails. • Perform (and lead) code reviews that catch design or performance issues early. • Build internal libraries, shared modules, or tooling that abstract common patterns and increase team velocity. • Work collaboratively with Product, QA, DevOps, and other engineers to translate requirements into reliable, maintainable implementations. • Profile, monitor, and optimize performance, memory usage, and resource consumption of Python services. • Contribute to API design, interface contracts, data models, and integration strategies. • Stay current in the Python ecosystem and introduce innovations or best practices where appropriate. • Document high-level architecture, module contracts, and design rationale. • Mentor development teams via pair programming, review feedback, internal sessions, and guidance.

• 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.