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Added 3 days ago
Forestry Data Engineer
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Technology, Production Support, Summer Analyst, Mississauga, Canada, 2027
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Technology, Production Support, Full Time Analyst, Mississauga, Canada, 2027
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Business Systems Developer
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Added 3 days ago
C
Engineer (Python/AWS + Azure/React) (Senior/NewGrad)
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The engine: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine
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Senior Java Full Stack Developer
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We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
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Consultant, Databricks Developer
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Caddie

Engineer (Python/AWS + Azure/React) (Senior/NewGrad)

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Apr 21, 2027
Posting language: English
Posted: Oct 23, 2026

Original job description

Engineer (Full Stack)

New Grads from top Canadian schools also welcome.

Hybrid (preferably in Toronto) · Full-time · North American Eastern Time

ABOUT US

Caddie Intelligence builds software for analytical testing laboratories and other regulated industries.

WHAT WE'RE BUILDING

Something meaningful, in an industry that quietly touches billions of lives and almost nobody thinks about. The work inside it is slow, manual and consequential, and the decisions being made every day deserve to be faster, more consistent, and easier to stand behind.

THE ROLE: OWNERSHIP END TO END

One product, deployed in more than one place: our cloud on AWS, a customer's own Microsoft Azure environment, and, for the most restricted sites, a machine with no internet access. You own the product from the server to the screen.

The engine: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine

Instrument files: read the binary files laboratory instruments produce, and write Caddie's decisions back into them so the lab's own software still opens them

The review application: TypeScript and React, with SVG and Canvas charting over large datasets, Web Workers for heavy parsing, and exports to ZIP, XLSX and PNG

New test methods: turn a new laboratory test into a working module with the founders, following our written playbook

Cloud infrastructure: AWS (S3, SQS, ECS Fargate, RDS, KMS) today, with the same containers deployable to Azure (Container Apps or AKS, Blob Storage, Key Vault, Azure Database for PostgreSQL)

Customer-hosted deployments: packaging and releasing the application so it runs inside a customer's own cloud tenant, behind their firewall, with their data staying in their environment

Air-gapped deployments: the same containers on a Linux or Windows server with no internet, including signed, versioned offline updates

The record: immutable storage, hash-chained audit events and ten-year retention, in every environment

Multi-tenancy and security: PostgreSQL row-level security, IAM, SSO, secrets management

Delivery: Terraform, GitHub Actions CI/CD that blocks regressions, Playwright end-to-end tests, monitoring and logging

TECH STACK

Backend: Python, FastAPI, NumPy, SciPy, SQLAlchemy

Frontend: TypeScript, React, Vite, SVG, Canvas, Web Workers

Data: PostgreSQL, S3 / Azure Blob Storage

Containers: Docker, Docker Compose

Cloud: AWS (S3, SQS, ECS Fargate, RDS, KMS, IAM) and Microsoft Azure (Container Apps / AKS, Blob Storage, Key Vault, Azure Database for PostgreSQL, Entra ID)

Infrastructure and delivery: Terraform, GitHub, GitHub Actions

Testing: pytest, Playwright

Systems: Linux, Windows Server

WHAT YOU'LL NEED

Strong Python and strong TypeScript / React. You are at home on both sides, not visiting one of them

SQL and PostgreSQL well beyond basic CRUD

Hands-on Docker and containerised deployment

Production experience on AWS, and Microsoft Azure

Infrastructure as code with Terraform, and CI/CD pipelines in GitHub Actions

You have shipped software that runs in someone else's environment, not just your own cloud

You have built a data-heavy interface that stays fast, not a CRUD app with a chart library dropped in

You use AI coding tools hard, and you are ruthless about reviewing what they write (Cursor, Claude Code, Codex, etc.)

NICE TO HAVE

Signal processing, chromatography or other scientific data

Regulated software: audit trails, data integrity, validated systems

Air-gapped installs, Windows Server administration

WHO YOU ARE

A critical thinker who pushes back

Proactive. Nobody is going to hand you a ticket

Wants ownership of the schema, the screen, the server and the alarm that wakes you up

Fast without being sloppy

Able to handle adversity

Someone who has the desire to be great

NOT REQUIRED

A specific number of years. We care whether you can do the work, not how long you have been doing it

Any degree or higher education

WORKING HERE

A direct line to the founders. No waiting a week for a decision

Fast paced environment, team retreats, and your voice and ideas heard

You see the whole company, not a slice of it: commercial, technical and strategic

Access to the network behind us: investors, operators and advisors who have built and sold companies in this space

You grow as the company grows, and you will be able to point at the parts that are yours

Caddie is backed by ERA, the New York accelerator.

Email: founders@caddieintelligence.com

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More about this job

Responsibilities

Build and own a full-stack product spanning Python services, a data-heavy React application, cloud infrastructure, and customer-hosted or air-gapped deployments. Develop laboratory data processing and review features, and ensure secure, auditable, reliable delivery across AWS, Azure, and restricted environments.

Requirements

The role requires strong Python and TypeScript/React skills, advanced SQL and PostgreSQL knowledge, hands-on Docker experience, and production experience with AWS and Azure. Candidates should also have experience with Terraform, GitHub Actions, customer-environment deployments, and performant data-heavy interfaces; a specific number of years or a degree is not required.

Skills

Python
TypeScript
React
AWS
Microsoft Azure
PostgreSQL
Docker
Terraform
GitHub Actions
FastAPI
SQL
Data-Heavy Interface Development
Containerized Deployment
CI/CD
Playwright
AI Coding Tools

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
NumPy
SciPy
SQLAlchemy
TypeScript
React
Vite
SVG
Canvas
Web Workers
PostgreSQL
AWS
Microsoft Azure
Docker
Terraform
GitHub Actions
Pytest
Playwright
S3
SQS
ECS Fargate
RDS
Azure Container Apps
AKS
Azure Blob Storage
Key Vault
CI/CD
Air-Gapped Deployments
Audit Trails

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