• Define and drive the project’s technical vision, ensuring alignment with business goals and industry best practices • Lead architecture design and high-level technical decisions across two client instances with a shared codebase • Conduct thorough impact analysis for all proposed changes to ensure system stability, scalability, and data integrity • Drive technical excellence across the team by enforcing code quality, security standards, and performance optimization practices • Collaborate with developers, DB engineer, QA, BAs, and tech writer to deliver reliable and maintainable solutions • Oversee CI/CD processes in Azure DevOps, ensuring smooth and secure deployments of time-sensitive healthcare features • Review and validate system and application architecture to support high-load, sensitive data operations in a compliant manner • Mentor and guide a cross-functional team of engineers, fostering continuous improvement and technical growth • Proactively identify technical risks and bottlenecks; propose and implement mitigation strategies • Ensure effective documentation and technical communication across stakeholders • Communicate our solutions to client representatives, both from technical and business sides

• Work on meaningful projects with business impact from your very first day. • Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence • Help develop the team roadmap, balancing key technical and product tradeoffs • Teach and mentor members of the engineering team, constantly modeling how great software should be developed • Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend • Write a lot of code :)

• Design, build, and maintain scalable cloud infrastructure with a focus on reliability, security, and performance • Define and manage infrastructure as code using tools like Terraform to ensure consistent and auditable environments • Develop, improve, and support CI/CD pipelines to accelerate development cycles and ensure high code quality • Implement and maintain observability tools for monitoring, alerting, and diagnostics across distributed systems • Collaborate with security and compliance teams to ensure infrastructure meets organizational and regulatory requirements • Build and maintain internal developer tooling to streamline workflows, improve productivity, and support operational excellence • Integrate with third-party data services and APIs to enable robust, scalable data flows and platform capabilities

• Own Operational Systems Architecture: Design and evolve distributed systems on GCP that support scheduling, task assignment, and operational workflows. • AI-Powered Operations: Lead integration of AI into operational workflows using open-source LLMs, embeddings, and speech models. • Human-in-the-Loop Workflows: Build and improve systems that coordinate AI decisions with human execution. • Operational Excellence: Champion observability, reliability, and data quality. • Player-Coach Execution: Contribute code to critical paths while leading technical initiatives. • Cross-Functional Alignment: Partner deeply with Operations, Product, Design, and Clinical Ops.