Senior Engineer (Python / AWS / On-Premise)
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
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: YOU WILL BUILD IT END TO END
One product, two homes: our cloud, and inside our customers' own buildings. You own everything that runs on a server, wherever that server is.
- The engine at scale: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine, byte for byte
- 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 and does the maths
- New test methods: turn a new laboratory test into a working module with the founders, following our written playbook
- The cloud: S3, SQS, ECS Fargate, KMS
- The on-premise edition: the same engine and the same app running inside a customer's network with no internet. Containers, local Postgres and file storage, signed offline updates, Windows and Linux servers
- The record: immutable storage, hash-chained audit events, ten-year retention, in both homes
- Multi-tenancy: PostgreSQL row-level security, IAM, SSO
- The self-serve layer: schema design, immutable versioning, approval workflows
- The plumbing: Terraform or CDK, CI that blocks regressions, monitoring
WHAT YOU'LL NEED
- Strong Python, including NumPy, and SQL well past CRUD
- You care about exact numbers. You know why the same calculation can give different answers on two machines, and how to stop it
- Comfortable taking apart a binary file format nobody documented
- AWS deep enough to design it, not follow a tutorial
- You have shipped software that runs on someone else's servers, not just your own cloud
- You can design one system with two homes, where every cloud piece has a local twin and nobody maintains two codebases
- Enough front-end ability to ship a screen yourself when it is faster than asking
- You use AI tooling hard, and you are ruthless about reviewing what it writes (Cursor, Claude Code, Codex, etc.)
NICE TO HAVE
- Signal processing, chromatography or other scientific data
- Regulated software: audit trails, data integrity, validated systems
- Docker, air-gapped installs, Windows Server
WHO YOU ARE
- Critical thinker who pushes back
- proactive, nobody is going to hand you a ticket
- wants ownership of the schema, the server and the alarm that wakes you up
- fast without being sloppy
- ability 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, ability for your voice and ideas to be 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
More about this job
Responsibilities
Build and maintain a Python-based analytical engine and related application for both AWS cloud and customer-hosted, offline environments, including instrument file processing and laboratory test modules. Own the system end to end, including infrastructure, data integrity and audit records, multi-tenancy, workflows, monitoring, and regression-preventing CI.
Requirements
Requires strong Python, NumPy, advanced SQL, deep AWS expertise, and experience shipping software on customer-owned servers; the role also calls for binary file analysis and ensuring calculations produce consistent results across machines. Candidates should be able to design a single system for cloud and on-premise deployment, contribute to frontend work when needed, and critically review AI-generated code; no specific years of experience or degree is required.
Skills
- Python
- NumPy
- SQL
- AWS
- Binary File Formats
- Deterministic Computing
- Docker
- PostgreSQL
- Terraform
- CI/CD
- FastAPI
- Scientific Data Processing
- Audit Trails
- Frontend Development
- AI Coding Tools
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Science & Research
- Data & Analytics
Keywords
- Python
- AWS
- On-Premise Deployment
- FastAPI
- NumPy
- SciPy
- Docker
- S3
- SQS
- ECS Fargate
- KMS
- PostgreSQL
- Row-Level Security
- IAM
- Single Sign-On
- Terraform
- CDK
- CI/CD
- Binary File Formats
- Instrument Files
- Immutable Storage
- Hash-Chained Audit Events
- Data Integrity
- Air-Gapped Installations
- Windows Server
- Linux
- Signal Processing
- Chromatography
- Regulated Software
- AI Coding Tools