Realtime Full-Stack Engineer for AI Observability

Teserac, Inc.

Santa Clara, Northern (CA, KY)

Hybrid

USD 180,000 - 230,000

Full time

9 days ago

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Benefits offered by this job

Health care plan
401k retirement plan
Paid time off
Work from home
Stock options

Job summary

Teserac, Inc. is seeking a seasoned Full Stack Developer to own features from data ingestion to live dashboards. You will work on real-time time-series platforms, integrate with building and power systems, and ship fast in a hybrid role based in Santa Clara.

Collaboration with AI teammates and engineering leaders is central to the role. You should have extensive Python/Django experience, strong PostgreSQL and time-series data skills, and be capable of delivering fast, data-heavy interfaces using

Qualifications

  • 7+ years building and shipping production software across the stack.
  • Strong Python, ideally Django. Our backend is Django and Celery, and it's the language you'll write most days.
  • Strong PostgreSQL: schema design, query performance, and migrations you'd run against a live production database
  • Practical time-series experience. TimescaleDB is ideal, and deep experience with another time-series or high-volume streaming store transfers.
  • Solid React and TypeScript, and the judgment to keep a data-heavy interface fast
  • Experience with asynchronous and event-driven systems: task queues, pub/sub, streaming, or WebSockets
  • Comfortable on AWS. We run ECS Fargate, RDS, ElastiCache, and IoT Core.

Responsibilities

  • Build operator-facing features for Neuron in React and TypeScript: real-time dashboards, alerting, alarm and ticket workflows, capacity planning views, and power-flow visualizations.
  • Build the interfaces the AI teammate works through: interaction panels, recommendation displays, approval workflows, and audit trails.
  • Keep large, data-dense views fast and responsive across devices.
  • Ingestion and integrations: Build ingestion path bringing telemetry from customer sites into Neuron: edge collectors, MQTT over AWS IoT Core, queue-based workers, and normalization into a canonical metric model.
  • Time-series platform: Develop against PostgreSQL and TimescaleDB: hypertables, continuous aggregates, compression, and retention.
  • Quality and operations: Write tested, reviewed code, contribute to CI/CD and automated testing.

Skills

Python
Django
PostgreSQL
Time-series DB
React
TypeScript
Async systems
WebSockets
AWS
Celery

Tools

Celery
Django
PostgreSQL

Job description

Teserac, Inc. is seeking a seasoned Full Stack Developer to own features from data ingestion to live dashboards. You will work on real-time time-series platforms, integrate with building and power systems, and ship fast in a hybrid role based in Santa Clara.

Collaboration with AI teammates and engineering leaders is central to the role. You should have extensive Python/Django experience, strong PostgreSQL and time-series data skills, and be capable of delivering fast, data-heavy interfaces using

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