Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, were changing the way patients are diagnosed and treated for any disorder that affects brain physiology.

• You partner with product managers, scientific and clinical stakeholders, internal stakeholders, and other development and support teams to translate their requirements into new integrations, services, and solutions for scaling Beacons data platform
• You implement features with attention to detail, demonstrating product awareness and high standards for data integrity, design soundness, and maintainability across the lifespan of the system
• You draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input, and helping your team align on a set of decisions to guide development
• You hold a high bar for correctness when data moves between systems: completeness, idempotency, and predictable behavior under partial failure
• You leverage feedback from internal stakeholders and external partners to improve operational robustness and ease of use of the Datastore and its services via new documentation, tools, and dashboards

• 5+ years of backend development experience, including at least 2 years focused on data platforms and backend infrastructure for data-centric applications - transactional systems, event pipelines, and the APIs that serve them
• Strong proficiency in SQL, with production experience working with PostgreSQL as an application database; you write and tune queries by hand and are comfortable reasoning about schema design, indexes, and query plans
• Hands-on experience with data streaming and event processing, using Kafka (our event bus) or an equivalent such as RabbitMQ, Pulsar, or a cloud-based equivalent like Amazon Kinesis
• Proficiency in Julia or Python
  • Experience with Julia is a strong plus, but not required - we welcome candidates eager to learn it!
• Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code (IaC) tools such as Terraform and/or Helm
• Experience with GraphQL and TypeScript/JavaScript (Node.js); GraphQL is the Datastores primary interface
• A collaborative mindset - you enjoy working across disciplines and believe people achieve more together than alone
• Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments
• A self-directed approach, with a track record of thriving in hybrid or fully remote teams

We dont expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, we’d love to hear from you!