11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
đĽ 0 minutes ago
đşđ¸ United States â Remote
đľ $170k - $190k / year
â° Full Time
đ´ Lead
đ§âđť Full-stack Engineer
đť Ghost score 18%
Distributed Systems
GraphQL
JavaScript
Kafka
Kubernetes
Node.js
Postgres
Pulsar
Python
RabbitMQ
SQL
Terraform
TypeScript
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11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
⢠Lead design and architecture for complex projects and systems within the Datastore ⢠Weigh implementation trade-offs and support decisions with data ⢠Partner with product managers, scientific and clinical stakeholders, development teams, and support teams ⢠Translate requirements into integrations, services, and scalable data-platform solutions ⢠Contribute to broader product and technical decisions ⢠Debug and profile ambiguous problems across system boundaries ⢠Improve code structure, test coverage, and tooling ⢠Implement features with high standards for data integrity, design soundness, and maintainability ⢠Draft RFCs and lead complex feature discovery and technical design phases ⢠Plan individual and team work while balancing speed, generalizability, and technical debt ⢠Teach and mentor engineers and provide actionable feedback ⢠Act as a technical lead or coordination point for engineering practices ⢠Improve Datastore operational robustness and usability through documentation, tools, and dashboards ⢠Own event pipelines, GraphQL APIs, core data models, third-party integrations, or PostgreSQL operations depending on focus area
⢠7+ years of backend development experience ⢠At least 3 years focused on data platforms and backend infrastructure for data-centric applications ⢠Highly proficient in data modeling, distributed systems, API design, or database engineering ⢠Strong proficiency in SQL and production experience with PostgreSQL ⢠Experience writing and tuning queries and reasoning about schema design, indexes, and query plans ⢠Hands-on experience with Kafka or equivalent event-processing technologies such as RabbitMQ, Pulsar, or Amazon Kinesis ⢠Proficiency in Julia or Python; Julia experience is a strong plus but not required ⢠Experience deploying and operating services in containerized environments ⢠Familiarity with Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm ⢠Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation ⢠Excellent written and verbal communication skills ⢠Self-directed approach and experience thriving in hybrid or fully remote teams ⢠Experience with or interest in LLM-assisted or agentic coding tools in production ⢠For Datastore Systems: GraphQL, TypeScript/JavaScript, Node.js, event-driven pipeline design, replay, idempotency, and consumer lag handling ⢠For PostgreSQL & Data Modeling: query planner, index selection, EXPLAIN (ANALYZE), schema design, zero-downtime migrations, dual-write transitions, backfills, verification, PostgreSQL operations, replication, backup and restore, connection pooling, bloat, vacuum behavior, and extensions
⢠Equity ⢠Paid time off (PTO) ⢠Flexible asynchronous remote work practices ⢠In-person office hubs in Boston, New York City, and Paris ⢠Diverse and inclusive team environment
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