Senior Back-End Platform Engineer

Chair.com.pk; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Quix seeks a Senior Back-End Platform Engineer to design and build reliable service layers powering enterprise platforms and integration layers. You’ll define API contracts, data flows, and robust processing pipelines that scale and remain observable in production.

Ideal candidates bring deep REST API and event-driven patterns expertise, strong testing discipline, and experience with distributed systems across teams. Hybrid or on-site in enterprise environments is common.

Qualifications

• Back-end services experience in Node.js, .NET, Python, Go, or equivalent.
• Strong REST API design and event-driven architecture.
• Experience with relational and non-relational data stores.
• Reliability-focused design with idempotency and retry logic.
• Excellent cross-team communication and collaboration.
• Strong testing discipline: unit, integration, and contract tests.

Responsibilities

• Design and build RESTful and event-driven APIs for enterprise platform and integration use cases.
• Define service boundaries, data contracts, and integration patterns across distributed system components.
• Build data processing pipelines and workflow automation layers that move and transform enterprise data.
• Implement authentication, authorization, and audit patterns appropriate for enterprise environments.
• Collaborate with front-end engineers and integration architects to establish clean API contracts.
• Support observability integration: structured logging, distributed tracing, alerting, and incident readiness.

Skills

Node.js

REST API design

Event-driven architecture

Data modeling

Testing

Distributed teams

Tools

Azure Service Bus

Kafka

Kubernetes

OpenID Connect

OAuth 2.0

Job description

Design and build the APIs, services, and data flows that power Quix enterprise platforms and integration layers.

Quix is looking for a Senior Back-End Platform Engineer to build reliable, well-structured service layers that enterprise systems depend on. This role is for someone who brings strong judgment on API design, service boundaries, data flow architecture, and the operational realities of running complex back-end systems in production.

Work is calm, technical, and delivery-focused. You’ll help teams make durable decisions in enterprise environments where reliability and operational clarity matter.

What You’ll Do

• Design and build RESTful and event-driven APIs for enterprise platform and integration use cases.
• Define service boundaries, data contracts, and integration patterns across distributed system components.
• Build data processing pipelines and workflow automation layers that move and transform enterprise data.
• Implement authentication, authorization, and audit patterns appropriate for enterprise environments.
• Optimize for performance, reliability, and horizontal scalability under enterprise-scale load profiles.
• Collaborate with front-end engineers and integration architects to establish clean API contracts.
• Support observability integration: structured logging, distributed tracing, alerting, and incident readiness.

What We’re Looking For

• Strong production experience building back-end services in Node.js, .NET, Python, Go, or equivalent.
• Deep understanding of REST API design, event-driven architecture, and asynchronous processing patterns.
• Experience with relational and non-relational data stores and their appropriate use cases.
• Comfort designing for reliability, idempotency, retry logic, and failure isolation.
• Ability to work effectively across distributed teams and communicate technical decisions clearly.
• Strong testing discipline: unit, integration, and contract testing for production services.

Nice to Have

• Experience with Azure Service Bus, Kafka, or similar event streaming platforms.
• Background in OAuth 2.0 and OpenID Connect for enterprise identity integration.
• Experience with Kubernetes-based deployment or container orchestration.

The services built in this role carry enterprise data flows, automation workflows, and platform integrations that clients depend on operationally. Reliability and clear API contracts at the platform layer reduce integration complexity, shorten delivery timelines, and improve the operational confidence of enterprise deployments.