Backend Engineer (Nodejs + Kubernetes)

Job Overview

Application Contract Length: 3–4 months (with strong possibility of extension)
Location: Canada or LATAM
Rate: Up to $43 USD/hour
Time Zone: Must be able to overlap with PST a few days per week

About our Client

Our client is building immersive, next-generation gaming experiences across modern platforms, including Smart TVs and constrained devices. The team values strong engineering fundamentals, pragmatic problem-solving, and engineers who are excited to showcase real-world impact through the systems they’ve built.

The Role

The company is looking for a Senior Backend Engineer with strong Kubernetes expertise to join the team on a contract basis. You’ll play a key role in designing, scaling, and maintaining backend systems that power consumer-facing gaming applications, including environments with constrained hardware. This is a hands-on role for someone comfortable owning backend architecture, working close to infrastructure, and collaborating with product and engineering leadership.

Key Responsibilities

• Design, build, and maintain scalable backend services using Node.js
• Architect, deploy, and manage services running on Kubernetes
• Work with Apache Cassandra (data modeling, performance, reliability)
• Optimize backend systems for constrained environments (e.g. Smart TVs or similar devices)
• Collaborate closely with Product and Engineering leadership to deliver features end-to-end
• Ensure system reliability, performance, and scalability in production
• Clearly communicate technical decisions and tradeoffs

Required Qualifications

• Senior-level Backend Engineering experience
• Strong expertise with Node.js
• Deep hands-on experience with Kubernetes in production environments
• Experience working with Cassandra or similar distributed databases
• Proven experience building and shipping real production systems
• Ability to clearly explain past projects, architectural decisions, and outcomes

Nice to Have

• Experience building Smart TV apps or working with constrained devices
• Exposure to gaming, media, or real-time consumer applications
• Experience using AI tools (e.g. for development, debugging, productivity) and the ability to explain how you leverage them in your workflow