Senior Backend EngineerPiramidal is looking for a backend engineer to help build and scale the infrastructure behind our real time neural monitoring platform. You'll work on hard problems: high throughput streaming, real-time analytics, and hospital grade reliability.
This is a full-time role based in our New York office (5 days a week), with required travel to client sites. Candidates must have US work authorization.
In this role you will- Build and run Python and Go services that consume, transform, and serve real-time streams of neurological data.
- Design, maintain, and improve data models, ingestion pipelines and retention for high frequency time series data, from raw neurological data, to all time series derived from it.
- Build and extend the APIs behind clinical workflows.
- Work with ML engineers to take models from research to production inference, and keep them running there.
- Make the platform observable and dependable: metrics, alerting, capacity planning, and incident follow-up.
- Help build software to the standards of a regulated medical device, including cybersecurity, traceability and change control.
Your background looks something like- 5+ years of building and operating backend systems in production
- You can own a problem from an ambiguous start to a running, monitored service, and you can explain your decisions verbally and in writing.
- Real experience with event-driven or stream-processing systems: partitioning, checkpointing, backpressure, and at-least-once delivery.
- Strong Python, including concurrency (threads vs. processes, asyncio) and testing.
- Proficiency with containerization and orchestration, preferably using kubernetes.
- Solid relational database skills, from schema design to query performance.
Nice to have- Go, especially for networked or low-latency services.
- Azure: Event Hubs, Service Bus, Web PubSub, Blob Storage, AKS.
- Apache Arrow, Parquet or other columnar formats.
- Video streaming, storage, and processing
- Systems where sub-second latency matters.
- Data engineering or warehousing at scale.
- Model serving (PyTorch)
- Work in healthcare or other regulated software.
Compensation & Benefits- Base salary range: $250,000 - $300,000, depending on experience and skills.
- Meaningful equity plan.
- Comprehensive health coverage, including premium medical, dental, and vision plans.
- Daily lunch budget.
Interview Process- Initial Screen (30 min): Discussion to ensure timelines, experience, and expectations align.
- Technical Screen (1 hour): via Google Meet
- Final Round (in person):
- Coding Problem (1 hour)
- System Design (1 hour)
- Product Session (1 hour)
- Questions (20 minutes)
