Staff Engineer (Backend & Data)

Join Trial Library as a Staff Engineer (Backend & Data) and take technical leadership of our critical systems. You will be responsible for the reliability, evolution, and scale of our backend and data platform, which supports our teams in identifying eligible patients for clinical trials. This role requires significant backend experience, strong systems thinking, and a passion for improving clinical trial access and health equity.

• Assumer la responsabilité technique des systèmes critiques, en naviguant dans un changement architectural majeur.
• Concevoir des systèmes fiables pour des flux de travail intensifs en calcul, en utilisant des pipelines asynchrones, des files d'attente de messages, etc.
• Mentorer les ingénieurs et établir des normes de développement qui restent pertinentes à mesure que les outils évoluent.
• Healthcare alignment with a genuine interest in improving clinical trial access and health equity; HIPAA experience a strong plus
• Demonstrated ability to take autonomous ownership, identifying and resolving systemic issues independently
• Proven track record of leveraging AI coding tools creatively and effectively to build production systems
• Startup experience, where you have built from scratch at an early-stage company and treated ambiguity as an opportunity rather than an obstacle
• Clear communication and influence, with the ability to explain tradeoffs to both engineers and non-engineers to earn trust through honesty
• Deep AWS experience (Lambda, Fargate, SQS, RDS, and the surrounding ecosystem) and the ability to choose the right service for the right job
• We are looking for an engineer with significant backend depth, 8 or more years of experience, with at least a couple of years operating at staff scope or equivalent impact. Beyond tenure, what matters most is whether you have demonstrated the kind of high-impact ownership this role requires
• Strong systems thinking, encompassing backend architecture, APIs, databases, and scalability under real-world constraints
• Experience with data and analytics platforms, such as data warehouses, ETL pipelines, or external-facing reporting infrastructure, is particularly relevant. Familiarity with IaC tooling (Terraform, Pulumi, etc), clinical or healthcare data standards (EHR/EMR, HL7/FHIR), and API design patterns are all additive. Experience in a regulated industry is a plus