• Developing new features and applications • Writing, improving and maintaining existing code • Implementing improvements to current systems • Creating scalable solutions • Performing tests to ensure quality • Analyzing and handling tickets in the support system • Identifying client needs and providing appropriate responses and solutions • Participating in architecture decisions and defining development best practices • Reviewing code from other developers • Ensuring quality standards • Collaborating with design, product and infrastructure teams to ensure efficient integration

• Develop and maintain software features, proposing improvements and refactorings when necessary; • Be consistently active on the company's communication channels; • Actively participate in technical development, suggesting tools and technologies; • Collaborate with the team, support colleagues and participate in alignment meetings; • Use tools such as Azure DevOps and GitLab for version control and task organization; • Ensure code quality with automated tests (unit, integration and mutation tests); • Participate in code reviews and contribute to technical standards and best practices; • Estimate and mitigate risks in complex tasks; • Assist with onboarding and the technical development of less experienced professionals.

• Lead the integration of our clinical AI platform and application with our health system clients’ electronic health records (EHR). • Work with the client to understand the best integration strategy, and own the planning and execution of the project end-to-end. • Develop frameworks and tooling to increase efficiency and velocity of client implementations. • Create and execute testing plans to ensure smooth and timely integrations. • Partner with the Director of Engineering to define hiring strategy for future Forward Deployed Software Engineer hires. • Work closely with Client Success, Clinical, Product, and Data Science to drive alignment and deliver impactful technology that saves lives.

• Lead the development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success. • Partner with client success and clinical product subject matter experts to implement infrastructure, queries, and automation to monitor KPIs and success metrics. • Build frameworks and tools for clinical reviews and investigations of reported cases. • Propose and implement foundational improvements for data platform scalability and team analytics capabilities. • Drive product analytics development cross-functionally with various teams.