Remote Backend Engineer for AI Infrastructure (Contract)

Alignerr Corp.; Toronto; Remote; CAD 62,000 - 131,000; Full time

Job summary

Alignerr Corp. is seeking a Back End Developer to design, build, and optimize server-side services and APIs that power AI workloads. This fully remote hourly contract role in Toronto offers flexible hours and the chance to work on data pipelines, microservices, and scalable infrastructure.

You will work with languages like Python, Go, Java, Node.js or Rust, design RESTful APIs, and collaborate with cloud platforms (AWS/GCP/Azure) and databases while following best practices and code reviews.

Qualifications

• Proficient in one or more backend languages (Python, Go, Java, Node.js, Rust).
• Strong knowledge of RESTful API design and distributed systems.
• Experience with SQL/NoSQL databases and data modeling.

Responsibilities

• Design, develop, and maintain robust back-end services, APIs, and data pipelines.
• Build scalable server-side architecture to support AI workloads and traffic at scale.
• Write clean, well-documented, testable code following best practices.
• Integrate with databases, queues, cloud services, and external APIs.
• Optimize performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams across time zones.
• Troubleshoot production issues and participate in code reviews.
• Work independently on task- and project-based assignments.

Skills

Backend languages

RESTful APIs

Distributed systems

Databases

Cloud platforms

CI/CD

Docker

Kubernetes

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Job description

Alignerr Corp. is seeking a Back End Developer to design, build, and optimize server-side services and APIs that power AI workloads. This fully remote hourly contract role in Toronto offers flexible hours and the chance to work on data pipelines, microservices, and scalable infrastructure.

You will work with languages like Python, Go, Java, Node.js or Rust, design RESTful APIs, and collaborate with cloud platforms (AWS/GCP/Azure) and databases while following best practices and code reviews.