Python Developer: Automation and Cloud Deployment

Python Developer: Automation and Cloud Deployment Fully remote within Canada, with optional access to our Toronto and Gatineau offices.

CATALYST - Earth data, simplified. We make actionable earth observation intelligence available to decision makers that seek to ensure a sustainable and manageable planet.

Work at the intersection of cloud engineering and earth science. We work closely with our clients to implement business friendly solutions that allow decision makers to make informed and faster decisions about their assets, operations, risk, and sustainability efforts.

Join a collaborative engineering team that values creativity, continuous learning, and energy. You’ll have a direct impact on infrastructure that supports sustainability monitoring, geo‑image processing and automation.

We offer a collaborative remote work culture, and the opportunity to solve genuinely hard problems in distributed systems, high‑performance computing and multi‑cloud architectures.

About the Role We are looking for a Python Developer who will work closely with lead developers to design, build, and maintain cloud deployment pipelines, and automation workflows that use remote sensing science to solve problems at a global scale. Reporting to the Remote Sensing Science Manager, this is a hands‑on technical role focused on developing robust Python‑based tooling.

Scope of the Job

Collaborate with product owners and scientists to understand the application technology direction, changes, standards and best practices.

Design, code, test, debug, document, maintain, and modify high‑complexity Python applications on AWS and Azure cloud platforms.

Build tooling that supports automated unit and system testing.

Resolve technical issues through debugging, research, and investigation.

Analyze requirements and create technical design documents according to the company’s architecture standards.

Ensure that expected application performance levels are achieved.

Mentor less experienced developers.

Requirements and Qualifications

Must have technical skills

Python Development and Cloud Deployment (3+ years)

Strong proficiency in modern Python development standards, including application design, automation, data processing, and geospatial coding.

Hands‑on experience with Docker, microservices architectures, and serverless development/deployment on AWS and/or Azure platforms.

Proven ability to design, develop, and implement scalable microservice‑based solutions.

Solid understanding of cloud processing architecture and best practices.

Cloud Deployment and Agile Practices (3+ years)

Experience with YAML, JSON, and Git.

Proficiency with Agile methodologies and effective collaboration across multiple teams.

Familiarity with Kubernetes or other container orchestration within cloud environments.

Nice to have technical skills:

Database and C++ Development Experience

Knowledge of relational databases and their integration within distributed systems.

Hands‑on C++ coding experience (application‑level development, debugging, performance tuning).

Geospatial Development Experience

Knowledge of popular geospatial libraries, e.g., GDAL, Rasterio, and Shapely.

Experience working with geospatial data formats.

Application PCI Geomatics is an equal‑opportunity employer, and all qualified applicants will receive consideration without regard to race, colour, religion, age, gender, national origin, disability, sexual orientation, family status or any other status or condition protected by Federal and/or Provincial laws.

If you require special accommodations during the recruitment and selection process, please let us know in the message section.

Application Notes

Resumes and cover letters must be in .docx or .pdf format, with a maximum size of 10 MB per document.

Resume filename example

Jane_Doe_resume.pdf

Cover letter filename example

Jane_Doe_cover.pdf

Use the format

First_Last for file names.

If you require accommodation during the recruitment and selection process, please let us know.