• Lead the design and architecture of major systems and services, and ensure software solutions are scalable, reliable, maintainable, and aligned with business needs. • Collaborate with solution managers, engineers, data scientists, and other stakeholders to define and prioritize technical requirements that meet client needs and business objectives. • Collaborate with teams to ensure sustained quality and reliability of our software solutions, and act as a go-to expert by identifying and resolving complex, high-priority issues in both development and production environments. • Actively contribute to code reviews, provide constructive feedback on design and implementation, and provide technical guidance to other engineers to elevate skills, productivity, and overall effectiveness. • Drive innovation by evaluating and implementing new technologies, methodologies, and AI capabilities that improve team efficiency, software performance, and development processes. • Ensure code meets functional and performance requirements, advocate for high-quality software, and ensure rigorous testing processes, including automated unit tests, integration tests, and other testing frameworks. • Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes. • Perform other job duties as assigned.

• Design, develop, and maintain a full-stack application using React (TypeScript) and .NET 8.0 + ASP.NET Core + gRPC. • Build out frontend interfaces and backend services — including data models, APIs, caching, and observability. • Integrate with Kafka-driven pipelines and the Snowflake data platform. • Own the full lifecycle of the application — from architecture and implementation to CI/CD and monitoring. • Apply best practices for testing, logging, error handling, and scalability. • Contribute to infrastructure automation with Terraform. • Leverage Cursor AI, MCPs and other AI tooling for assisted development and code reuse. • Mentoring other developers.

• Architect and deliver enterprise AI platform capabilities including workflow orchestration engines, multi-provider LLM integration, and automated deployment pipelines that enable healthcare teams to build and deploy AI applications at scale • Design multi-tenant infrastructure with automated provisioning, namespace isolation, and role-based access control to support secure, per-team dedicated environments across the platform • Build backend services and APIs for workflow authoring, execution orchestration, and platform observability using cloud-native patterns on Kubernetes infrastructure • Implement production observability and reliability practices including distributed tracing, performance monitoring, and incident response for platform health and cost management • Partner with business stakeholders, product teams, and engineering leadership to align platform roadmap with healthcare automation objectives and adoption strategy • Champion security posture including secrets management, audit logging, compliance requirements, and production readiness standards

• Take ownership of the end-to-end fullstack development process of various types of user-facing applications. • Communicate with and create solutions for internal and external stakeholders. • Optimize applications to provide top-level performance and user experience. • Create reusable tools that accelerate the development of new applications. • Collaborate with a cross-functional team of developers, data scientists, product managers, designers, and operation teams to create impactful products.