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Staff Software Engineer, PostgreSQL

Beacon Biosignals · United States · Just now · 0 applicants
NewRemoteFull-timeLead
Pay
$170k–$190kListed
Workplace
Remote
Job type
Full-time
Level
Lead
Team: Datastore · Source: jobright · Posted by joined-scrapper

About the role

Beacon Biosignals is hiring a Staff Software Engineer to lead design and architecture for its Datastore, the centralized repository and API for clinical-study brain data. The role focuses on PostgreSQL data modeling, event pipelines, GraphQL APIs, and collaboration across scientific and clinical teams.

What you’ll do

  • Lead design and architecture for PostgreSQL data models and Datastore systems
  • Own significant parts of the GraphQL API serving clinical-study brain data
  • Design event-driven pipelines end to end, including producers, consumers, replay, and idempotency
  • Drive schema evolution with zero-downtime migrations, dual-write transitions, and backfill
  • Operate PostgreSQL in production, including upgrades, replication, backup/restore, and connection pooling
  • Collaborate across platform, application, scientific, and clinical teams

What you’ll need

  • 7+ years of backend development experience, including 3+ years on data platforms and backend infrastructure
  • Strong SQL proficiency with production PostgreSQL experience, including schema design, indexes, and query plans
  • Hands-on experience with Kafka or equivalent event streaming technology
  • Experience deploying and operating services in containerized environments with Kubernetes and IaC tools such as Terraform or Helm
  • Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation
  • Experience with or interest in LLM-assisted or agentic coding tools in production settings

Original job description

Beacon Biosignals is hiring a Staff Software Engineer to lead design and architecture for complex systems within its Datastore, the centralized repository and API for clinical-study brain data. The role focuses on PostgreSQL data models, event pipelines, APIs, data warehouse snapshots, and collaboration across platform, application, scientific, and clinical…

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