Senior Backend Engineer

About the role

Piramidal 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)