Medical Home Network (MHN) is a mission-driven public benefit corporation focused on transforming healthcare delivery through technology and innovation. They are seeking a Staff Software Engineer to lead the integration of AI into their software engineering processes, design intelligent architectures, and mentor other engineers while driving best practices.
Responsibilities:
- Contribute significant portions of production code in our core stack (e.g., Python, Java, Angular, DBT, Snowflake etc.), following best practices and coding standards
- Develop unit, integration, and performance tests. Integrate test suites into CI/CD pipelines and champion automation at every stage of delivery
- Investigate complex issues across services and data flows, perform root cause analysis, and implement durable fixes
- Architect, design, and actively develop core features and components for both application and data platforms, ensuring scalability, performance, and security
- Champion code quality, testing practices, CI/CD pipelines, observability, and reliability. Ensure both application and data systems meet rigorous operational and compliance requirements
- Partner with product managers, designers, and business stakeholders to translate requirements into sound technical solutions. Work closely with DevOps to enable seamless delivery
- Provide guidance and mentorship to engineers across teams. Elevate the technical bar by sharing knowledge, conducting deep design reviews, and fostering an inclusive culture of learning
- Explore new technologies, tools, and practices that can enhance team productivity and product capabilities. Propose and execute proof-of-concepts that align with strategic goals
- Ensure that systems are designed for monitoring, alerting, and fault tolerance. Drive root cause analysis for critical issues and champion preventive engineering practices
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- 6+ years of engineering experience
- Strong understanding of data privacy and security requirements in regulated industries
- Hands-on experience with modern data platforms (e.g., dbt, Spark, Kafka, Airflow) or application frameworks (e.g., Django, Node.js, Spring Boot)
- Exposure to DevOps/SRE practices, including CI/CD pipelines, infrastructure-as-code, monitoring, and observability
- Experience leading complex technical initiatives such as system migrations, re-architecture, or enterprise integrations
- Demonstrated ability to mentor and guide senior engineers, driving technical strategy across teams
- Advanced degree (Master's/Ph.D.) is a plus but not required
- Proven experience working in the healthcare domain, with familiarity in clinical data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, SOC2)