Senior AI Software Engineer

Senior Full-Stack Software Machine Learning EngineerAre you an experienced full-stack software engineer with a passion for building impactful digital healthcare solutions? Join our team to develop and deliver web modules and microservices for a globally distributed platform that connects hospitals and labs. You'll focus on genomics interpretation, data processing, and analysis, contributing to our SaaS platform that transforms how complex healthcare data is shared and utilized. You also bring machine learning engineering experience, including designing RAG pipelines and evaluating LLM-based systems.If this sounds like you and you are driven by purpose, join the SOPHiA GENETICS Software Engineering team as our new Senior Full-Stack Software Machine Learning Engineer, and enable us to make a positive impact on the outcomes for cancer and rare disease patients worldwide.This is a hybrid opportunity, requiring 3 days onsite our corporate office in either Bidart, FR, Rolle, CH or Boston, MA. Please ensure that all CV/Resumes are submitted in English as we are an international company that uses English as our language of business.Our MissionWe believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe.Your MissionAs our Senior Full-Stack Software Engineer, you will lead the development and delivery of web-based solutions that directly support Sophia Genetics' business objectives in digital healthcare. You will work closely with product, QA, and cross-functional teams to ensure our platform meets market needs, regulatory standards, and performance goals, enabling hospitals and labs to efficiently process and analyze complex genomics and clinical data. Your responsibility includes deeply understanding business needs and translating them into effective technical solutions, optimizing workflows, and contributing to the scalability and commercial success of our SaaS platform.The value you bringEnd-to-End Software Development & DeliveryDevelop and optimize web-based services and components, leveraging modern frameworks (React, Next.js, Node.js) and robust backend technologies (Java, microservices) to deliver seamless user experiences.Own and drive the full lifecycle of complex, high-performance software systems - from design and implementation to testing, deployment, and maintenance - ensuring reliability and scalability.Enhance system performance through database optimization (MySQL, MariaDB, DuckDB) and efficient query design, ensuring data integrity and fast processing.Leverage AI and modern tools to enhance SDLC, observability, monitoring, and system intelligence, driving data-driven decision-makingDesign, integrate and evolve machine learning components into a production environment, including RAG pipelines for knowledge retrieval and systematic ML model evaluation frameworksTechnical Leadership & CollaborationOrchestrate cross-functional projects by collaborating with Product, QA, Architecture, and other teams to design interoperable systems and deliver high-impact features.Lead code reviews and mentor junior engineers, fostering a culture of quality, innovation, and continuous improvement.Resolve complex technical issues with efficiency, minimizing downtime and ensuring smooth operations.Operational Excellence & Process ImprovementStreamline SDLC processes, integrating Agile, CI/CD, and DevOps tools (Docker, Kubernetes, GitLab) to accelerate delivery and improve workflow automation.Collaborate with stakeholders (PMO, Product, QA, Architecture) to align technical execution with product vision and user needs.Business UnderstandingBridge technical execution with business goals by deeply understanding the genomics and digital healthcare domain, ensuring solutions align with user needs and regulatory requirements.Advocate for user-centric improvements by reviewing designs against ease of use and suggesting enhancements to product stakeholders based on hands-on experience.