Senior Backend Engineer

Overview

Brilliant Next Gen is transforming the smart home experience for builders, home owners, smart home professionals, and condos/apartment buildings. Our award winning, all-in-one control platform, mobile app and connected ecosystem make it easy for integrators, builders, and homeowners to create beautifully designed, easily approachable intelligent living spaces. With a focus on design, simplicity, and performance, we’re making smart home technology feel easy, intuitive, and approachable for all.

We’re a fast-growing team passionate about bridging design and technology to elevate the smart home experience for customers. If you’re excited about building a category-defining brand in smart home innovation and shaping how people experience connected living, we’d love to meet you.

Company

Description:

Brilliant Next Gen is transforming the smart home experience for builders, home owners, smart home professionals, and condos/apartment buildings. Our award winning, all-in-one control platform, mobile app and connected ecosystem make it easy for integrators, builders, and homeowners to create beautifully designed, easily approachable intelligent living spaces. With a focus on design, simplicity, and performance, we’re making smart home technology feel easy, intuitive, and approachable for all.

We’re a fast-growing team passionate about bridging design and technology to elevate the smart home experience for customers. If you’re excited about building a category-defining brand in smart home innovation and shaping how people experience connected living, we’d love to meet you.

As a Senior Backend Engineer at Brilliant, you will play a key role in architecting, building, and maintaining the systems that power the Brilliant ecosystem. You will work across our full backend and infrastructure stack, spanning API development, distributed backend systems, AWS infrastructure, Dev Ops automation, and IoT communications. This role is ideal for someone who not only understands modern large-scale distributed systems but also enjoys experimenting with LLMs and AI agents to push the boundaries of what’s possible in modern software development.

You’ll collaborate closely with backend engineers, product managers, designers, and the broader engineering team to deliver new features, ensure system reliability, and evolve our cloud architecture. You’ll also help guide technical strategy, mentor teammates, and elevate engineering standards across the organization.

• Backend Engineering
• Architect, build, test, deploy, and maintain backend features and services.
• Design and extend Graph
  
  QL and RESTful APIs for Python-based services.
• Develop and maintain gRPC backends and integrations with Redis and Postgre
  
  SQL.
• Support communication and backend integrations for our fleet of Brilliant Controls (IoT).
• Mentor engineers, improve architecture quality, and drive backend best practices.

• Dev Ops & Infrastructure
• Architect, manage, and extend our AWS infrastructure using Terraform, Packer, and related tools.
• Improve and scale our Continuous Integration and Continuous Delivery pipelines.
• Deploy, manage, and debug Linux servers and container-based systems.
• Enhance observability using systems like Prometheus and Grafana to detect issues proactively.
• Maintain infrastructure, tools, dependencies, and security posture.

• Cross-Functional Collaboration
• Partner with product, design, and engineering teams to deliver new features and refine existing experiences.
• Lead and collaborate on reliability improvements, workflow simplification, and operational best practices across the engineering organization.

• 10+ years of experience in backend engineering.
• Bachelor’s degree in Computer Science or equivalent experience.
• Deep experience with Python, modern programming languages, and shell scripting.
• Strong expertise with AWS and core cloud infrastructure services.
• Proficiency with Infrastructure as Code (Terraform).
• Strong background in Linux systems.
• Solid experience with relational databases (Postgre
  
  SQL) and caching systems (Redis).
• Background with gRPC, distributed systems
• Excellent communication skills and experience leading technical initiatives.

• Experience with Graph
  
  QL and REST API design.
• Strong interest and hands-on experimentation with LLMs or AI agents.
• Background with real-time data communication.
• Experience with containerization and container orchestration (Kubernetes).
• Work with Prometheus, Grafana, and observability pipelines.
• Experience supporting IoT systems or device fleets.
• Familiarity with advanced AWS patterns and tooling (VPC networking, IAM, autoscaling).
• An interest in video streaming protocols (WebRTC, RTSP)