Software Engineer IV, Datastore

Job not on LinkedIn

🔥 1 hour ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Beacon Biosignals

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 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.

📋 Description

• Lead design and architecture for complex projects and systems within the Datastore • Weigh implementation trade-offs using engineering principles and data • Partner with product managers, scientific and clinical stakeholders, and development 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 and improve 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 • Potentially act as project technical lead or engineering-practice coordination point • Improve Datastore operational robustness and ease of use through documentation, tools, and dashboards • Own pipelines that deliver dataset snapshots into the data warehouse • Collaborate across platform, application, and scientific teams to implement APIs for clinical studies and digital health products

🎯 Requirements

• 7+ years of backend development experience, including at least 3 years focused on data platforms and backend infrastructure for data-centric applications • Highly proficient in at least one of: data modeling, distributed systems, API design, or database engineering • Strong proficiency in SQL and production experience with PostgreSQL as an application database • Hands-on experience with data streaming and event processing using Kafka or an equivalent such as RabbitMQ, Pulsar, Amazon Kinesis, or another cloud-based equivalent • Proficiency in Julia or Python; Julia experience is a strong plus but not required • Experience with GraphQL and TypeScript/JavaScript (Node.js) • 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 • Collaborative mindset and ability to work across disciplines • Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments • 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, with sound judgment about guardrails

🏖️ Benefits

• No specific benefits or compensation extras stated in the posting