Principal Backend Engineer - Core Infrastructure

Qualcomm•Santa Clara, CA

38d

About The Position

We are seeking a skilled and motivated Backend Engineer to join our backend team. You will help design and implement the scalable backend systems that power our AI-driven Video Surveillance as a Service (VSaaS) platform. In this role, you will contribute to building robust, extensible infrastructure to support the platform's rapid growth, increasing AI capabilities, and the evolving demands of connected devices.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Nice To Haves

Bachelor's or Master's degree in Computer Science or a related field.
Strong backend development skills in Go, Java, Python, or Node.js.
Solid experience with distributed systems, microservices architecture, and API design.
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Proficient with Docker and Kubernetes for containerization and orchestration.
Familiarity with MongoDB, with experience designing performant and scalable schema.
Strong understanding of CI/CD pipelines and version control (e.g., Git).
Proficiency in Go (Golang).
Experience with AI-powered platforms, especially in computer vision or LLM agents.
Familiarity with video streaming technologies, media processing, or real-time analytics.
Hands-on experience with observability tools such as Prometheus, Grafana, or ELK stack.
Prior experience building backend systems for high-volume, latency-sensitive applications.

Responsibilities

Design and implement scalable backend services and APIs for our cloud-based VSaaS platform.
Develop infrastructure and reusable frameworks to ensure reliability, scalability, and ease of maintenance.
Collaborate with cross-functional teams, including AI, DevOps, and Product, 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 using industry best practices.
Participate in architectural design, code reviews, and ongoing engineering process improvements.

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