Hybrid Software Developer: Subsurface Data & AI Analytics

Bentley Systems; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Seequent in Toronto is hiring a Software Developer, Subsurface Information Management to support design, development, and release of software applications and platform services for analytics and AI workflows in geoscience data.

You will work under guidance with the Software Engineering Manager, contributing independently within established processes and collaborating with teammates across functions with a hybrid work setup.

Qualifications

• Bachelor's degree in computer science, engineering, or equivalent.
• 3+ years in relevant software development positions.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with enterprise-scale data solutions and relational/no-SQL storage.

Responsibilities

• Create and document detailed designs for software applications or components.
• Develop, test, document, and refactor programs/scripts.
• Assist with release management tasks and release planning.
• Contribute to security-conscious design and peer reviews.

Skills

CI/CD pipelines & DevOps

Enterprise-scale data solutions

SQL

JSON

Python

Cloud platforms (Azure, AWS, GCP)

Docker

Kubernetes

Team collaboration

Education

Bachelor's degree in computer science or engineering

Tools

Docker

Kubernetes

Azure

AWS

GCP

Job description

Seequent in Toronto is hiring a Software Developer, Subsurface Information Management to support design, development, and release of software applications and platform services for analytics and AI workflows in geoscience data.

You will work under guidance with the Software Engineering Manager, contributing independently within established processes and collaborating with teammates across functions with a hybrid work setup.