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Added 1 month ago
L
Automation and Test Engineer - Photonics
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Develop the data acquisition and analytics layers that turn raw measurement into engineering and production insight
Added 1 month ago
GP
Senior Software Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
You will work closely with Product and other engineering teams to shape the roadmap and consistently improve the platform, with occasional collaboration with marketing and sales partners.
Added 2 months ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Vancouver, BC
- Full-time
Troubleshoot and resolve interoperability issues involving imaging workflows, system connectivity, and data exchange protocols.
Added 2 months ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
-Programming: Proficient in Python; comfortable with SQL and data engineering patterns.
Added 2 months ago
E
Spécialiste en gouvernance et qualité des données
EXFO
Quebec, QC
- Full-time
Spécialiste en gouvernance et qualité des données (Data Steward)
Added 1 month ago
M
Intermediate Systems MTS, Synthetic Aperture Radar (SAR)
MDA
Richmond, BC
- Full-time
…mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries…
Added 1 month ago
BA
Manager, Business Systems Analysis
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Proven expertise in ETL/ELT, data integration concepts with exposure to REST API, Python, Snowflake, SQL Server, XML, JSON, CSV.
Added 1 month ago
BA
Sr. Analyst, Business Systems Analysis
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Proven expertise in ETL/ELT, data integration concepts with exposure to REST API, Python, Snowflake, SQL Server, XML, JSON, CSV.
Added 1 month ago
FC
Technical Analyst Sr
Fidelity Canada
Toronto, ON
- Full-time
We are seeking a Senior Technical Analyst / Developer to design, develop, deploy and support machine learning, data and AI solutions. This senior hands-on role combines technical analysis,…
Added 1 month ago
KC
Hardware Test Engineer - Contract 3+ Months
Kepler Communications
Toronto, ON
- Full-time
- Contract
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 5 months ago
E
Digital - ASIC Design Automation Engineer
Eliyan
Toronto, Ontario
- Full-time
Background in data engineering or ML systems: evaluation harnesses, retrieval pipelines, or production inference.
Added 1 month ago
C
NPI Optical Test Engineer
Ciena
Ottawa, ON
- $77,500 to $144,500 CAD / year
- Full-time
We are seeking an exceptional candidate who exemplifies a strong technical acumen and a data-driven problem-solving approach. This individual should demonstrate proficiency in…
Added 1 month ago
DT
UNPAID VOLUNTEER - Technology Officer -Artificial Intelligence (AI)
Digital Technology Institute for Development (DTID)
Remote, Canada
- Part-time
- Remote
A Bachelor's or Master's degree, diploma or equivalent qualification in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology, Mathematics or another…
Added 2 months ago
HC
Researcher – 3D Computer Vision and Generative Modeling
Huawei Canada
Markham, ON
- Full-time
Strong programming skills in Python and/or C++, with experience using deep learning frameworks (such as PyTorch).
Added 2 months ago
EB
Senior Manager, Model Development
EQ Bank
Toronto, ON
- Full-time
Master's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative field.
Added 2 months ago
EB
Manager, Risk Data & Model Implementation
EQ Bank
Toronto, ON
- Full-time
The Manager, Risk Data & Model Implementation (“MDMI”) reports to the Director, Risk Data & Model Implementation (“DRDMI”), and supports the DRDMI, the Director, Risk Data & Model…
Added 1 month ago
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Engineering Manager - Core Infrastructure
Jobgether
Canada
- $150,000 to $200,000 CAD / year
- Full-time
Build and promote reusable infrastructure modules and internal developer platform capabilities that enable engineering teams to self-serve.
Added 1 month ago
A
Azure DevOps Consultant
Alithya
ON · ON, Canada
- Full-time
Support Azure services including App Services, Function Apps, Azure SQL, API Management, Data Factory, Databricks, Cosmos DB, Key Vault, and Storage Accounts;
Added 1 month ago
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Staff Software Development QA Specialist
Fortinet
Burnaby, BC
- Full-time
Bachelor or Master’s degree in Computer Science, Computer Engineering, or a related field.
Added 2 months ago
Engineering Intern, Firmware, R&D
Chemelex
Edmonton, AB
…efficiency in diverse environments – from industrial plants and data centers to people’s homes. We deliver future-ready technologies, advanced engineering capabilities and local expertise…
Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
About the Software Engineering team: You'll join a highly competent engineering team of 8 software engineers as part of a broader department of roughly 30 tech professionals, reporting to…
Added 1 month ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 2 months ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Strong experience with SQL databases and structured data, and with data processing, data engineering or data science workflows.
Added 2 months ago
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Senior Manager, Total Fund Data Science and Modeling
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- Full-time
…governed semantic metric layers, curated investment datasets, data marts, and modern data engineering practices, while expanding the scope to senior leadership, cross-functional influence,…

Fleet Space Technologies

Software Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 3, 2026

Original job description

This role can be based in Toronto or Adelaide with hybrid working.

Fleet Space builds software for customers and internal teams working with geophysical surveys, geological data, interactive 3D visualisation and machine learning predictions. Our platform lets users explore survey results, interpret complex datasets, upload project data, access deliverables and interact with predictive models.

We are looking for a Full Stack Software Engineer who enjoys working across the stack and turning ideas, data and models into useful products quickly. You will work on a diverse range of projects: dashboards, APIs, data processing, 2D and 3D visualisation, backend services, frontend applications and machine learning integration.

This role suits someone comfortable moving between front and back end, learning quickly, and using modern AI assisted development tools to accelerate implementation without losing engineering judgement.

What you'll do

Design and build new products and features across Fleet's customer and internal software platform.
Develop backend services, APIs, data processing workflows and frontend applications.
Build interactive dashboards and tools for exploring complex scientific and operational data.
Develop rich 2D and 3D visualisations for geophysical, geological, geospatial and machine learning datasets.
Integrate machine learning models and their outputs into production applications and user workflows.
Bring previously independent tools and workflows together into a cohesive platform.
Build the interfaces customers use to upload data, manage projects and access their results.
Work with large scientific and geospatial datasets, and find effective ways to process, transfer and visualise them.
Maintain, improve and simplify existing systems, and look for ways to lift performance, usability and development velocity.
Work closely with data scientists, machine learning engineers and geoscientists to turn experimental workflows into reliable software.
Prototype new ideas quickly and work out the right path from prototype to production.
Contribute to technical design decisions around application structure, APIs and integration with shared platform services.

What we are looking for

Around 4+ years in software engineering, working across the stack rather than in one narrow specialisation.
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Backend and API experience from first principles: you can design a service and its data model, then integrate it cleanly with what already exists.
Strong experience with SQL databases and structured data, and with data processing, data engineering or data science workflows.
Experience building web applications, dashboards or interactive data tools.
Ability to understand existing systems quickly and work effectively across unfamiliar parts of a stack.
Pragmatic technical judgement, balancing development speed, complexity, maintainability and user value.
Strong use of AI assisted development tools such as Claude Code, Codex or GitHub Copilot, with the ability to review, test and improve what they produce rather than accepting it as is.
Comfort using AI aggressively for prototyping and well contained features, while recognising when architecture, data or security decisions need deeper engineering thought.
Experience with Jira or similar project and issue tracking tools.
Experience integrating machine learning models or data science workflows into production software.
Knowledge or experience in geology, geospatial data, mining or scientific computing.

How we work

We want engineers who see AI assisted development as an important part of modern software engineering. We encourage rapid experimentation and AI assisted implementation, particularly for interfaces, prototypes and well contained features. At the same time, we expect engineers to understand the systems they build and take ownership of architecture, data models, APIs, testing, security and maintainability.

We value simplicity over unnecessary complexity, and we expect engineers to ask not only how we build something, but what is the simplest thing we can build that solves the problem well. The goal is to use modern tools to move quickly while continuing to build software we understand, trust and can maintain.

About Fleet Space

Fleet Space Technologies’ vision from the beginning was to build technologies to help humanity explore and connect the Earth, Moon, and Mars.

This led us to develop and launch one of Australia’s largest constellation of satellites, create our satellite-enabled mineral exploration technology (ExoSphere), and send Australia’s first seismic technology (SPIDER) to the Moon in 2026. ExoSphere, our end-to-end mineral exploration solution powered by space and AI, aims to accelerate critical mineral discovery needed for the clean energy technologies foundational to humanity’s future.

As part of Fleet’s founding vision, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. Headquartered in Adelaide, South Australia, Fleet has a growing team in the USA, Canada, and beyond.

Company Culture

As a company, we are revolutionising the exploration of new worlds with advanced space technology to build a more prosperous future for humanity.

As a culture, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do.

Our company values guide us to our North Star of ambitious, collaborative success: AD ASTRA ("To the Stars!")

Add Value: Obsessively add value for our customers
Drive Excellence: Benchmark against the best
Agile Action: Take Action. Independent, fast, frugal action
Seek Truth: Be curious. Explore
Take Responsibility: Make decisions and own them
Radical Ideas: We are unique. We do things differently
Always Deliver: We always find a way to get it done on time

Our Benefits Include

We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.
Equity (ESOP) grants.
20 days of annual leave + 10 extra Wellness days per year.
Learning budgets.
Access to confidential Psychologist appointments via our Employee Assistance Program.
Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.

Fleet is an Equal Opportunity Employer; employment with Fleet is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, colour, religion, gender, national origin/ethnicity, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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More about this job

Responsibilities

Design and build full-stack products and features for customer and internal platforms, focusing on data processing and 2D/3D visualizations. Collaborate with data scientists and geoscientists to transition experimental workflows into reliable production software.

Requirements

Requires 4+ years of full-stack software engineering experience with proficiency in Python, Go, TypeScript, and SQL. Candidates should be skilled in using AI-assisted development tools and have experience with geospatial or scientific data visualization.

Skills

Python
Go
TypeScript
JavaScript
SQL
AWS
Docker
GitLab CI/CD
Three.js
WebGL
Deck.gl
Plotly
Full Stack Development
API Design
Data Visualization
Machine Learning Integration

Benefits

Flexible work culture
Equity (ESOP) grants
20 days of annual leave
10 extra wellness days per year
Learning budgets
Employee Assistance Program (Psychologist appointments)

Visa sponsorship

Not detected in the job text

Keywords

Python
Go
TypeScript
JavaScript
SQL
AWS
Docker
GitLab
CI/CD
Three.js
WebGL
Deck.gl
Plotly
Full Stack
API
Machine Learning
Geophysical Surveys
Geological Data
Geospatial Data
3D Visualisation
Claude Code
Codex
GitHub Copilot
Jira
Scientific Computing
Mining
Space Research
Data Engineering
Data Science
Backend Services

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