Staff Software Engineer, Agentic Patient Outreach

• Identify and develop scalable and performant solutions. 

• Work across discipline to shape product strategy and execution

• Develop the foundations of code architecture and quality. 

• Mentor and coach engineers.

• Set and uphold the standard for engineering processes to support high-quality engineering.

• BS/BTech (or higher) in Computer Science, Engineering or a related field required. 

• 8+ years of production-level experience as an engineer building highly scalable systems.

• 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.

• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.

• Experience architecting, developing, and deploying large-scale distributed systems at scale.

• Experience with cloud technologies, e.g., AWS, Azure, GCP.

• Experience building continuous integration and continuous development (CI/CD) pipelines.

• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

Agentic Patient Outreach

• Own the architecture and technical roadmap for complex, cross-cutting systems, ensuring they are secure, scalable, and maintainable.

• Lead by example through high-quality design and code, particularly in distributed systems, APIs, and cloud-native services.

• Partner closely with product, platform, and cross-functional stakeholders to translate business goals into robust technical solutions.

• Raise the technical bar by providing mentorship, design reviews, and guidance to senior and mid-level engineers.

• Drive engineering excellence, including observability, reliability, performance, and operational best practices (e.g., CI/CD, incident response, and postmortems).

• Influence and evolve engineering standards, patterns, and best practices across the organization.

• Bring deep expertise in distributed systems, event-driven architectures, and streaming platforms (e.g., Kafka) and know how to design for scalability, resiliency, and fault tolerance.

• Demonstrate strong hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes, including operating services in production.

• Have in-depth knowledge of database systems, including both SQL and NoSQL databases, with practical experience in data partitioning, sharding, and indexing strategies for large-scale datasets.

• Bring strong proficiency in at least one modern server-side language (e.g., Java, C#, Python), with a strong preference for Python.

• Regularly participate in and improve code reviews, architectural discussions, and feature planning sessions, helping drive high-quality technical and product decisions.

• Have hands-on experience with data pipelines and workflow orchestration tools (e.g., Apache Airflow, AWS Glue, or similar technologies).

• Have experience with systems that handle sensitive data, including architecting solutions that incorporate best practices for security, authentication/authorization.

• Have experience building or integrating systems that leverage ML/AI models for real-time inference, including attention to latency, reliability, observability and ongoing model evaluation.

• Experience working with systems that integrate with LLMs and generative AI is highly desirable, but not required.