Lead Backend Engineer - Real-Time Health AI Platform

Alldus; New York (NY); Vor Ort; USD 220.000 - 300.000; Vollzeit

Benefits dieser Stelle

Impactful healthcare work

Novel AI product environment

Ownership of real production systems

Collaborative ML engineering team

Zusammenfassung

Alldus is supporting a health-tech startup building real-time AI architecture for clinical neurology. You will design and implement scalable Python/Go services for processing live biometric data and deploying ML models in production.

You’ll own reliability and performance, craft high-throughput data pipelines, and build APIs powering critical workflows, working closely with ML engineers. In-office in NYC with US work authorization.

Qualifikationen

• 5+ years building and operating backend systems in production.
• Experience with event-driven / stream-processing systems.
• Proficient in Python with concurrency and testing.
• Containerization and orchestration, preferably Kubernetes.
• Strong relational database design and query performance.

Aufgaben

• Build scalable Python/Go services for real-time clinical data processing.
• Design high-throughput data pipelines and time-series models.
• Develop APIs powering critical clinical workflows.
• Deploy and maintain ML models in production.
• Own system reliability, monitoring and performance.
• Contribute to secure, compliant software for regulated healthcare environments.

Kenntnisse

Backend systems

Event-driven architecture

Stream processing

Python

Python concurrency

Kubernetes

Relational databases

Tools

Kubernetes

Jobbeschreibung

Alldus is supporting a health-tech startup building real-time AI architecture for clinical neurology. You will design and implement scalable Python/Go services for processing live biometric data and deploying ML models in production.

You’ll own reliability and performance, craft high-throughput data pipelines, and build APIs powering critical workflows, working closely with ML engineers. In-office in NYC with US work authorization.