Remote Backend Engineer for AI Platform & Scalable Systems

Bayview Asset Management, LLC; New York (NY); On-site; USD 140,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Medical coverage starting on day one

Company-matched 401(k)

Job summary

Bayview Asset Management, LLC is looking for a skilled Backend Engineer to join our AI Platform team. This fully remote role focuses on building and evolving backend systems for internal products and AI workflows. A competitive salary ranging from $140,000 to $240,000 USD is offered, along with an attractive benefits package including medical coverage from day one and a 401(k) match.

The ideal candidate has strong software engineering skills and experience in designing reliable backend services. Responsibilities include ensuring dependable service performance and collaborating across teams to deliver quality solutions.

Qualifications

• 3-5+ years of experience building and operating production-grade backend systems.
• Strong software engineering fundamentals including data structures and algorithms.
• Experience with API design and event-driven architectures.

Responsibilities

• Design, build, and maintain production backend services for various use cases.
• Ensure backend services are reliable, testable, and resilient.
• Deploy and manage services on major cloud platforms.

Skills

Backend programming languages (Python, Go, Java, etc.)

Strong SQL skills

API design

System design

Cloud platforms (AWS, GCP, Azure)

Job description

Bayview Asset Management, LLC is looking for a skilled Backend Engineer to join our AI Platform team. This fully remote role focuses on building and evolving backend systems for internal products and AI workflows. A competitive salary ranging from $140,000 to $240,000 USD is offered, along with an attractive benefits package including medical coverage from day one and a 401(k) match.

The ideal candidate has strong software engineering skills and experience in designing reliable backend services. Responsibilities include ensuring dependable service performance and collaborating across teams to deliver quality solutions.