About 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.
Role Overview
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.
Responsibilities
- Scale High-Throughput APIs: Own and optimize Node.js APIs to handle massive surges in traffic from concurrent users monitoring live social campaigns and conversion loops.
- Master High-Volume Data Ingestion: 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).
- Drive Microservices Migration: Break down legacy monolithic components into nimble, decoupled microservices with crisp service boundaries and dedicated data isolation.
- Optimize Postgres & Data Visualizations: Work deeply with PostgreSQL to tune complex aggregation queries, manage connection pooling at scale, and ensure our frontend analytics dashboards render heavy datasets instantly.
- Integrate Python ETL Pipelines: Collaborate on data handoffs between our core Node.js APIs and our Python-based ETL pipelines handling asynchronous background data collection.
- Own Engineering Documentation: Write, maintain, and advocate for high-quality technical documentation, API specifications, and system architecture diagrams to keep our distributed team aligned.
- Active Team Participation: Engage fully in our daily Scrum meetings, sprint planning, and code review processes to foster a highly collaborative, transparent, and agile engineering culture.
Requirements
- 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.
- The Data & Metric Thinker: Experience handling API integrations, webhook consumers, or tracking data. You understand the complexities of syncing time-series social metrics with e-commerce conversion logs.
- The Database Optimizer: Proficiency with PostgreSQL, knowing how to index queries properly, avoid performance bottlenecks (like N+1 issues), and optimize for read-heavy dashboards.
- Microservices & Event-Driven Native: A solid understanding of distributed system principles, microservice architectures, and inter-service patterns (REST, gRPC, or message brokers like AWS SQS).
- Cloud-Aware: 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.
- Modern Tooling & Workflow: Strong familiarity with essential engineering tools, including GitHub for version control/PR workflows and Jira for agile sprint tracking.
Nice to Have
- AI-Assisted Velocity: 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.
- AI Architecture & Workflows: A conceptual understanding of modern AI systems, including Model Context Protocol (MCP), prompt engineering, or agentic frameworks.
- LLM Tooling: Hands-on experience or familiarity with building with LangChain or LangGraph for orchestration.
- Experience supporting or working with Python-based microservices or data layers.
What We Offer
- Impact & Scale: Work on a high-growth platform at the forefront of influencer marketing, directly impacting unique user journeys across three distinct user types.
- AI-Forward Culture: We encourage the use of modern AI tools to accelerate your workflow. We are completely flexible on your choice of tooling, whether you prefer OpenAI, Anthropic, open-source models, or GitHub Copilot.
- Room to Innovate: The opportunity to build and pioneer new technologies to solve complex data and product problems rather than just maintaining legacy code.
- Growth & Mentorship: Join a highly supportive team environment that deeply values continuous learning, constructive feedback, and creative technical solutions.
- Flexible Balance: 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.
