About BigGeo
BigGeo defines a new category of infrastructure that converts spatial data into a high-performance operational layer, enabling real-world intelligence at scale.

The Spatial Cloud allows data to be managed, accessed, computed, and delivered instantly across organizations and systems.

Why Work at BigGeo
We value ownership, clarity, and AI-driven momentum. Work moves quickly, expectations are high, and impact is visible through real-world deployments.

Role Overview
Platform Engineer

As a Platform Engineer, you will design, implement, and maintain the core infrastructure powering the Spatial Cloud. You will collaborate with engineering, data, and product teams to support reliable, scalable, and developer-friendly systems.

What You Will Build and Own

Core platform infrastructure and distributed systems

Spatial data processing pipelines and services

High-performance APIs and platform services

Infrastructure automation and deployment pipelines

Observability and operational reliability systems

Core Responsibilities
Platform Infrastructure

Design and implement scalable infrastructure that powers the Spatial Cloud

Build distributed services that manage spatial data and compute workloads

Reliability and Operations

Implement monitoring, logging, and observability systems

Participate in incident response and reliability improvements

Maintain high availability and operational stability across services

Build internal tools and platform services that improve engineering productivity

Support APIs and infrastructure used by product and data teams

Ensure platform systems are easy to operate and extend

Performance Optimization

Improve performance of distributed services and spatial data processing systems

Identify bottlenecks and improve throughput and reliability

Ensure platform systems can scale with growing datasets and usage

Infrastructure Automation

Implement infrastructure-as-code and automated deployment workflows





Maintain CI/CD systems that support rapid iteration and safe releases

AI-Enabled Development

Use modern AI development tools to accelerate debugging, system analysis, and development

Contribute to engineering workflows that incorporate AI-assisted productivity

Technology and Tools

Cloud infrastructure platforms (AWS, GCP, or equivalent)

Containerized systems and orchestration platforms

Distributed systems and microservices architectures

High-performance data systems and storage platforms

API services and developer infrastructure

Infrastructure-as-code and automated deployment pipelines

Observability, monitoring, and logging systems

Operational collaboration tools include Slack, Google Workspace, and Monday.

Required Experience

3–7 years of experience in platform engineering, infrastructure engineering, or backend systems

Experience building or operating distributed systems in production

Experience with cloud infrastructure and containerized environments

Strong programming skills in languages commonly used for backend systems

Experience building reliable systems with monitoring and observability practices

Familiarity with CI/CD and infrastructure automation workflows

Preferred Experience

Experience working with geospatial or spatial data systems

Experience with high-performance data pipelines or real-time compute systems

Familiarity with distributed data processing frameworks

Experience supporting developer platforms or infrastructure tools

Experience working in startup or high-growth engineering environments

Work Workplace and Collaboration

High autonomy and technical ownership

Cross-functional collaboration with engineering, product, and data teams

Continuous learning and use of AI tools to improve productivity

Fast iteration cycles and production-focused engineering

Work that directly shapes the infrastructure of the Spatial Cloud

The systems you help build will become foundational infrastructure for how organizations understand and act on the real world.

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📌 Platform Engineer (Software) (Alberta)
🏢 BigGeo
📍 Alberta