Full Stack Engineer

RedBranch Executive Search & Recruitment

Toronto

On-site

CAD 120,000 - 180,000

Full time

3 days ago
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Job summary

RedBranch Executive Search & Recruitment is seeking an early engineering seat with broad ownership across the stack. You will set architecture, maintain a high code-review bar, and own features end to end from the data model through the decision surface that enterprises act on.

You will mentor junior engineers as the team grows. Responsibilities include shipping features end to end, extending the data transformation pipeline, designing multi-tenant isolation, building the insights system, owning

Qualifications

  • Several years building and shipping production web apps with depth on both backend and frontend.
  • Strong backend skills (Python or similar) and strong TypeScript and React; can move between API service and frontend component.

Responsibilities

  • Ship features end to end across the stack from data model to warehouse transformation models and decision surface.
  • Extend the data transformation pipeline and the query layer turning config into warehouse SQL.
  • Design multi-tenant isolation: row-level security, auth, roles, and permissions, invite flows, workspace scoping for queries.
  • Build and harden the insights system: scheduled detect-and-recommend pipeline, LLM-authored recommendations, insight and Kanban surfaces.

Skills

Backend development
Python
TypeScript
React
SQL
Data warehousing

Tools

SQL
Data warehouse
ETL

Job description

This is an early engineering seat with broad ownership across the whole stack. You will be trusted to set architecture, hold a high code-review bar, and own features end to end from the data model through the decision surface that enterprises act on, and you will mentor junior engineers as the team grows.

Responsibilities
  • Ship features end to end across the stack, from the data model and backend services to the warehouse transformation models and the decision surface.
  • Extend the data transformation pipeline and the query layer that turns query config into warehouse SQL, keeping multi-tenant filtering and parameterized queries airtight.
  • Design and defend multi-tenant isolation: row-level security, the auth, roles, and permissions layer, invite flows, and the workspace scoping that runs through every query.
  • Build and harden the insights system: the scheduled detect-and-recommend pipeline, LLM-authored recommendations, and the insight and Kanban workflow surfaces in the product.
  • Own the orchestration path: the nightly scheduled jobs (ingest, transform, refresh, insight generation, cache flush), with safe locking and admin gating.
  • Build widgets and AI-insight UI in TypeScript and React, wired to the backend read path and its caching layer.
  • Raise the engineering bar: set conventions, review teammates’ PRs with care, and lay the groundwork for SOC 2 and ISO 27001 readiness.
  • Run the production story: backend and front-end deploys, error monitoring, structured logs, and request tracing, and keep the local dev workflow clean.
Requirements
  • Several years building and shipping production web apps, with real depth on both backend and frontend.
  • Strong backend skills (Python or similar) and strong TypeScript and React; you can move confidently between an API service and a front-end component in the same day.
  • Solid SQL and data-warehouse fundamentals; comfortable reasoning about analytical queries, partitioning, clustering, and query cost.
  • A track record of owning systems end to end, across the data model, the API, and the UI, and making sound architecture calls under early‑stage ambiguity.
  • A high code-quality and code-review bar, and the judgment to merge independently without breaking multi‑tenant or security invariants.
  • Comfortable mentoring junior engineers and setting the patterns others follow.
Nice to haves
  • Modern data‑stack experience: a warehouse transformation tool and EL or ingestion tooling.
  • Multi‑tenant SaaS isolation work (row‑level security or equivalent).
  • Building with LLMs in production: prompt design, evaluation, and cost and latency control.
  • Exposure to SOC 2 or ISO 27001 controls, or a security‑conscious mindset.
  • Experience with modern SSR frameworks, charting libraries, or ad‑platform APIs.
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