• Drive the strategic direction of engineering practices, ensuring alignment with organizational goals and industry advancements. • Lead the organization’s most complex, multi-discipline projects, ensuring high-quality deliverables and successful outcomes. • Develop and execute innovative solutions to address industry challenges and improve efficiency and safety. • Serve as the organization’s top technical expert, providing guidance on engineering calculations, designs, and specifications for critical projects. • Oversee and certify designs and drawings, ensuring compliance with applicable standards. • Act as a mentor and advisor to engineers at all levels, fostering technical skill development and career growth. • Represent the organization as a thought leader in industry forums, conferences, and client meetings. • Contribute to the development of organizational policies, processes, and strategic initiatives.

• Develop and maintain backend services written in Rust • Build and maintain automation scripts and pipelines in Python • Work with no-code automation tools (n8n) where appropriate • Deploy and manage workloads on Google Cloud Run • Design and implement event-driven workflows using Pub/Sub • Manage and optimize Postgres databases and BigQuery data warehouses • Build and maintain data ingestion pipelines • Collaborate with the frontend team on React-based features when needed.

• Design, develop, and deploy scalable applications in our AWS environment, ensuring the implementations meet business requirements and adhere to high-quality standards. • Collaborate closely with cross-functional teams, including product managers, designers, and fellow engineers, driving seamless product development from concept to deployment. • Keep our tech stack modern and competitive by staying current with the latest industry trends and technologies. • Enhance system observability and reliability through writing tests, adding key metrics, debugging issues, and learning from incidents. • Contribute to our team's growth by assisting with resume screening and conducting interviews for new talent.

• Lead production-grade healthcare AI systems: scale distributed Python-based agents, own end-to-end delivery with real patients, in a lean team; make care accessible. • Deploy and refine AI-driven patient communication and triage systems directly with hospitals and clinics. • Architect and scale agent orchestration systems built on LLMs and agentic frameworks. • Build and maintain secure healthcare data layers with low-latency voice and video capabilities. • Scale distributed systems under real clinical load. • Work in a small team which means you own things end to end, not hand them off.