Senior Backend Engineer, AI/ML Platform

Lyra Health, Inc.

United States

Vor Ort

USD 143.000 - 197.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Healthcare coverage
Equity in the company
401K matching
Monthly tech allowance
Paid time off

Zusammenfassung

Lyra Health, Inc. in the United States seeks a Senior Software Engineer to build backend services for AI/ML features, taking ownership of cross-functional projects with therapists, data scientists, engineers and product managers.

You will implement scalable REST APIs using Java/Kotlin and Python, work with Docker and Kubernetes, and deploy applications on AWS to deliver reliable, high-performance solutions daily.

Qualifikationen

  • 4+ years of experience delivering production-ready products.
  • Excellent command of Java (Kotlin a plus) and Python for backend services.
  • Experience implementing production-grade RESTful APIs.
  • Experience with relational and low-latency databases.
  • Hands-on experience with Docker and deploying applications to Kubernetes.
  • Desire to learn new technologies quickly and build systems from scratch.
  • Strong communication and collaboration skills to align teams.

Aufgaben

  • Build backend services to support our core ML/AI product features.
  • Create scalable, resilient backend infrastructure for production readiness.
  • Deploy and manage applications in production environments.
  • Write clean, maintainable code and contribute daily.

Kenntnisse

Java
Python
RESTful APIs
Docker
Kubernetes
AWS
Distributed systems
Communication

Tools

Kubernetes
Docker
AWS
FastAPI
Protobuf

Jobbeschreibung

Lyra Health, Inc. in the United States seeks a Senior Software Engineer to build backend services for AI/ML features, taking ownership of cross-functional projects with therapists, data scientists, engineers and product managers.

You will implement scalable REST APIs using Java/Kotlin and Python, work with Docker and Kubernetes, and deploy applications on AWS to deliver reliable, high-performance solutions daily.

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