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Salary: USD 170,000 - 190,000 / annual
Beacon Biosignals is transforming precision medicine for the brain through at-home EEG platforms for clinical development and diagnostics. The company combines EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders.
You will join the Datastore team, which sits at the heart of Beacon's platform. The Datastore defines the foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting analytical tools, services, and applications used by scientists, clinicians, and partners.
This role emphasizes design and scaling of backend systems for data infrastructure: PostgreSQL data models, Kafka-driven event pipelines, and the GraphQL API that makes scientific and clinical data usable. You will lead the design of complex systems within the Datastore rather than individual components, own the pipelines that deliver dataset snapshots into the warehouse, and collaborate across platform, application, and scientific teams to implement APIs that unlock new workflows in Beacon's expanding portfolio of clinical studies and digital health products.
Success in this role means: leading design and architecture for complex projects and systems within the Datastore, weighing implementation trade-offs with engineering principles and backing decisions with data; partnering with product managers, scientific and clinical stakeholders, and other teams to translate requirements into new integrations and solutions; debugging and profiling ambiguous problems that cross system boundaries and leaving code better than you found it; implementing features with attention to detail, demonstrating product awareness and high standards for data integrity and maintainability; drafting RFCs to lead complex feature discovery and technical design phases; planning your own work and contributing to team planning with reasoned trade-offs; teaching and mentoring other engineers regularly; and leveraging feedback to improve operational robustness and ease of use of the Datastore via documentation, tools, and dashboards.
Beacon offers 100% remote work from anywhere in the U.S., with robust asynchronous work practices and in-person office hubs in Boston, New York City, and Paris.
REQUIREMENTS:
- 7+ years of backend development experience, including at least 3 years focused on data platforms and backend infrastructure for data-centric applications (transactional systems, event pipelines, and the APIs that serve them)
- Highly proficient in at least one technical area relevant to this work: data modeling, distributed systems, API design, or database engineering, with depth that others on the team come to you for
- Strong proficiency in SQL, with production experience working with PostgreSQL as an application database; fluent in writing and tuning queries and comfortable reasoning about schema design, indexes, and query plans
- Hands-on experience with data streaming and event processing, using Kafka or an equivalent such as RabbitMQ, Pulsar, or Amazon Kinesis
- Proficiency in Julia or Python; Julia is a core Datastore language and experience with Julia is a strong plus but not required
- Experience with GraphQL and TypeScript/JavaScript (Node.js) — GraphQL is the Datastore's primary interface
- Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm
- Track record of mentoring engineers and improving how a team works through practices, tooling, test coverage, or documentation
- Collaborative mindset and enjoyment of working across disciplines
- Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments
- Self-directed approach with a track record of thriving in hybrid or fully remote teams
- Experience with, or interest in, using LLM-assisted or agentic coding tools in a production setting, with good judgment about guardrails
