Backend Engineer

We are looking for a Mid-Level Backend Engineer who has "architectural empathy"—someone who writes clean Node.js code but keeps a sharp eye on how that code impacts database load, data ingestion pipelines, and AWS cloud-native scaling limits. Your mission will be to help design and build the high-throughput APIs and data-handling services that capture high-velocity social media engagement data, mesh it with downstream sales and conversion tracking, and deliver lightning-fast, dashboard-ready performance data to our users.

About creator

Creator At creator.co , we build the cutting-edge infrastructure that bridges social content and direct commerce.

Our platform enables top brands and agencies to manage massive influencer marketing and affiliate campaigns, automate outreach, and process global payments.

We are experiencing explosive growth.

Our next major engineering milestone is evolving our data layer to seamlessly ingest, track, and display deep social media metrics (from millions of creators) alongside real-time conversion and e-commerce attribution data.

To do this, we are scaling our platform to support hundreds of thousands of concurrent users and migrating our core architecture from a monolith to highly optimized microservices.

We encourage the use of modern AI tools to accelerate your workflow.

Responsibilities

• Own and optimize Node.js APIs to handle massive surges in traffic from concurrent users monitoring live social campaigns and conversion loops.
• Help architect the systems that ingest, parse, and store millions of social media data points (engagement, views, reach) and match them seamlessly against conversion tracking data (Shopify sales, GA4 events, affiliate pixels).
• Work deeply with PostgreSQL to tune complex aggregation queries, manage connection pooling at scale, and ensure our frontend analytics dashboards render heavy datasets instantly.
• Collaborate on data handoffs between our core Node.js APIs and our Python-based ETL pipelines handling asynchronous background data collection.
• Write, maintain, and advocate for high-quality technical documentation, API specifications, and system architecture diagrams to keep our distributed team aligned.
• Engage fully in our daily Scrum meetings, sprint planning, and code review processes to foster a highly collaborative, transparent, and agile engineering culture.

Requirements

• Break down legacy monolithic components into nimble, decoupled microservices with crisp service boundaries and dedicated data isolation.
• The Node.js Expert: 3+ years of professional backend experience with Node.js, asynchronous patterns, and a firm grasp of how the runtime handles heavy, concurrent I/O performance under load.
• Experience handling API integrations, webhook consumers, or tracking data.
• You understand the complexities of syncing time-series social metrics with e-commerce conversion logs.
• Proficiency with PostgreSQL, knowing how to index queries properly, avoid performance bottlenecks (like N+1 issues), and optimize for read-heavy dashboards.
• A solid understanding of distributed system principles, microservice architectures, and inter-service patterns (REST, gRPC, or message brokers like AWS SQS).
• You don’t need to be a pure DevOps engineer, but you understand how code behaves inside Docker containers, behind AWS API Gateways, and inside auto-scaling cloud groups.
• Strong familiarity with essential engineering tools, including GitHub for version control/PR workflows and Jira for agile sprint tracking.
• Familiarity with integrating AI tools into your daily engineering workflow (e.g., GitHub Copilot, Claude Code, OpenAI Codex) to increase code output, debugging efficiency, and velocity.
• A conceptual understanding of modern AI systems, including Model Context Protocol (MCP), prompt engineering, or agentic frameworks.
• Hands-on experience or familiarity with building with LangChain or LangGraph for orchestration.
• Experience supporting or working with Python-based microservices or data layers.
• The opportunity to build and pioneer new technologies to solve complex data and product problems rather than just maintaining legacy code.

Preferred

• We are completely flexible on your choice of tooling, whether you prefer OpenAI, Anthropic, open-source models, or GitHub Copilot.

Pay

A hybrid work environment based out of our Vancouver, BC office, giving you the best of collaborative team days and focused remote time Compensation Range We offer a starting salary of $90,000 - $105,000 CAD Total compensation includes salary, performance bonuses, benefits, and additional perks.

Benefits

• Work on a high-growth platform at the forefront of influencer marketing, directly impacting unique user journeys across three distinct user types.
• Join a highly supportive team environment that deeply values continuous learning, constructive feedback, and creative technical solutions.