Senior Backend Engineer - AI Video Platform

Nutanix; Santa Clara (CA); On-site; USD 129,000 - 194,000; Full time

Benefits offered by this job

Competitive benefits package

Annual discretionary bonus program

Annual RSU grants

Job summary

Qualcomm Technologies, Inc. is seeking a Backend Engineer to join our backend team, helping design scalable cloud services for our AI-enhanced Video Surveillance as a Service platform.

You will help build robust infrastructure to scale with growth, AI capabilities, and device connectivity, collaborating across AI, DevOps, and product groups. The role emphasizes building reliable back-end systems, data pipelines, and real-time analytics, with a focus on performance, observability, and

Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field with 2+ years software engineering experience.
• Advanced degrees (Master/PhD) considered with relevant experience.

Responsibilities

• Design and implement scalable backend services and APIs for a cloud-based VSaaS platform.
• Develop infrastructure and reusable frameworks to ensure reliability and scalability.
• Collaborate with AI, DevOps, and Product teams to deliver end-to-end solutions.
• Design and optimize data models, data pipelines, and storage for video metadata, analytics, and real-time search.
• Ensure system reliability, observability, and performance in production with best practices.

Skills

Go

Java

Python

C

C++

Distributed systems

Backend development

API design

CI/CD

Education

Bachelor’s degree in Engineering/ Information Systems/ Computer Science

Master’s degree in Engineering/ Information Systems/ Computer Science

PhD in Engineering/ Information Systems/ Computer Science

Tools

Docker

Kubernetes

MongoDB

Git

Cloud platforms (AWS/GCP/Azure)

Go (Golang)

Job description

Qualcomm Technologies, Inc. is seeking a Backend Engineer to join our backend team, helping design scalable cloud services for our AI-enhanced Video Surveillance as a Service platform.

You will help build robust infrastructure to scale with growth, AI capabilities, and device connectivity, collaborating across AI, DevOps, and product groups. The role emphasizes building reliable back-end systems, data pipelines, and real-time analytics, with a focus on performance, observability, and