Staff Software Engineer, Agentic Patient Outreach

Aledade, Inc. is seeking a Staff Software Engineer to drive the design, delivery, and evolution of critical systems for patient outreach. This role involves hands-on engineering and architectural ownership, focusing on building scalable data-intensive systems that integrate with AI models for effective patient care delivery.

Responsibilities:

• 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

Requirements:

• 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)
• 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