Backend Engineer - Remote

NPAworldwide

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of backend development experience
  • Proficient in designing REST/gRPC APIs
  • Experience with microservices architecture
  • Strong understanding of cloud infrastructure
  • Familiarity with CI/CD best practices
  • Passion for building reliable, high-performance applications

Responsibilities

  • Develop and maintain scalable, low-latency backend systems for AI/voice applications.
  • Design and implement REST/gRPC APIs and microservices architectures.
  • Collaborate with cross-functional teams to integrate ML and voice technologies.
  • Ensure system reliability through testing, monitoring, and CI/CD best practices.
  • Contribute to infrastructure design and optimization across cloud environments.

Benefits

  • Remote work flexibility
  • Opportunity to work on cutting-edge AI technology
  • Collaborative and innovative work environment
  • Access to professional development resources
  • Participation in a high-growth company with a strong market presence
Full Job Description
Senior Backend Engineer

Location: United States (Remote)
Full-Time | Direct Hire

About the Company

We are transforming how businesses interact with customers through intelligent voice AI solutions that automate, engage, and scale conversations. Our platform delivers real-time, lifelike voice interactions tailored to diverse use cases and is trusted by millions of users across industries. Backed by leading investors, we are rapidly scaling and on track to power billions of voice interactions worldwide.

Role Overview

We are seeking a highly skilled Senior Backend Engineer to design and build scalable backend systems that support AI-powered voice technologies. The ideal candidate will have strong expertise in backend development, system design, and cloud infrastructure, with a passion for creating reliable and high-performance applications.

Key Responsibilities

Develop and maintain scalable, low-latency backend systems for AI/voice applications.

Design and implement REST/gRPC APIs and microservices architectures.

Collaborate with cross-functional teams to integrate ML and voice technologies.

Ensure system reliability through testing, monitoring, and CI/CD best practices.

Contribute to infrastructure design and optimization across cloud environments.

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