Staff Backend Engineer - Healthcare AI, Hybrid & Scalable

Raydar

Mountain View (CA)

Hybrid

USD 250,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Raydar is seeking a Staff Backend Engineer to own the distributed systems behind ambient AI workflows for healthcare tooling, in Mountain View. You will remain hands-on while guiding the team to production-ready architectures for long audio ingestion and real-time processing.

The role requires extensive backend engineering, strong Python or equivalent language skills, and experience with large-scale distributed systems, observability, and regulated environments.

Qualifications

  • 7-15 years backend/platform/infrastructure experience, typically 8+ years.
  • Current Staff Engineer or Tech Lead title with ownership of technical direction.
  • Experience designing, building and operating production distributed systems at scale.
  • Strong Python skills or equivalent backend language; API design and data models.
  • Experience at large tech companies or Series B+ startups; mix of environments is valued.
  • Computer Science or technical degree from a top-30 school, or equivalent experience.
  • Comfort with ambiguity and fast iteration; end-to-end production delivery.
  • Strong communication and healthcare tech interest.
  • Audio, speech, dictation or real-time media streaming experience.
  • Experience with regulated environments (HIPAA, SOC 2).
  • Experience with Temporal, Kafka, GCP Pub/Sub, SQS, Kubernetes, IaC, OpenTelemetry, Grafana, Sentry.
  • Experience orchestrating LLM or multimodel inference workflows.

Responsibilities

  • Design, build and operate backend systems for long-form audio ingestion and real-time/asynchronous streams.
  • Orchestrate multi-stage transcription, diarization, LLM, clinical extraction and summarization workflows.
  • Partner with mobile, product, AI, security and clinical teams for offline workflows and poor networks.
  • Define SLOs and build observability with logs, metrics, traces, dashboards and alerts.
  • Lead incident response and post-incident analysis to eliminate recurring failures.
  • Evolve APIs, service boundaries, data models and deployment systems balancing reliability, latency and cost.
  • Mentor engineers and establish standards for distributed systems and operational readiness.

Skills

Python
Distributed systems
Backend APIs
Technical leadership
Cloud infrastructure
Cross-functional collaboration
Observability

Education

CS degree

Tools

Kafka
Kubernetes
Temporal
Google Cloud Pub/Sub
OpenTelemetry
Grafana
Sentry
SQS

Job description

Raydar is seeking a Staff Backend Engineer to own the distributed systems behind ambient AI workflows for healthcare tooling, in Mountain View. You will remain hands-on while guiding the team to production-ready architectures for long audio ingestion and real-time processing.

The role requires extensive backend engineering, strong Python or equivalent language skills, and experience with large-scale distributed systems, observability, and regulated environments.

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