Staff Software Engineer

Medical Home Network is seeking a Staff Software Engineer to shape its platform and product experiences through AI-enabled engineering. The role leads architecture and technical direction, develops scalable application and data systems, and partners across teams to improve engineering practices, reliability, and product capabilities.

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:

• strong systems mindset and product orientation
• Advanced proficiency in more than one modern programming language (e.g., Python, Java, or similar), with a strong foundation in algorithms, data structures, and object-oriented design
• Strong grasp of microservices, APIs, event-driven design, and data-intensive architectures
• Strong knowledge of Python (Django), modern JavaScript frameworks, or experience in Java (Spring/Java EE)
• building and optimizing ETL/ELT pipelines, working with SQL and modern warehouses (e.g., Snowflake, BigQuery), and applying DataOps best practices
• Solid understanding of cloud platforms (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code
• Strong knowledge of monitoring, logging, and observability tools
• Familiarity with application and data security best practices, identity and access management, and regulatory standards (e.g., SOC2, HIPAA)
• Provides architectural guidance, conducts in-depth design and code reviews, and sets engineering standards
• Demonstrates ability to analyze complex problems, troubleshoot across system boundaries, and propose innovative, future-ready solutions
• Proven experience working in the healthcare domain, with familiarity in clinical data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, SOC2)
• 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.)