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 Environment 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
- Quick 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) (Calgary)
🏢 BigGeo
📍 Calgary