Platform Engineer (Software)

BigGeo; Calgary; On-site; CAD 110,000 - 150,000; Full time

Job summary

BigGeo seeks a Platform Engineer to design, build, and operate the core infrastructure powering the Spatial Cloud. You will ensure ingestion, processing, and delivery of spatial data at scale, working with engineering, data, and product teams to maintain reliability and evolvability.

You will contribute to core platform infrastructure, data pipelines, high-performance APIs, and deployment automation, while leveraging AI-assisted development tools to boost productivity and outcomes.

Qualifications

• 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.

Responsibilities

• Design and implement scalable infrastructure that powers the Spatial Cloud.
• Build distributed services that manage spatial data and compute workloads.
• Ensure platform systems remain performant under large-scale data workloads.
• Develop internal tools and platform services to improve engineering productivity.
• Implement monitoring, logging, and observability systems across services.
• Support CI/CD and automation workflows to enable rapid, safe releases.

Job description

Company Overview

BigGeo is the Spatial Cloud.

We help companies manage and access the world’s spatial data.

Any size, any slice, any insight.

Delivered in seconds.

BigGeo is defining a new category of infrastructure that makes real-world data usable at scale. Spatial data powers decisions across logistics, climate, infrastructure, energy, cities, and AI systems, yet it remains fragmented and difficult to operate in real time.

The Spatial Cloud provides a unified architecture that allows spatial data to be managed, accessed, computed, and delivered instantly across organizations and systems. By turning spatial data into a high-performance operational layer, BigGeo enables people, systems, and AI to act on real-world intelligence together.

Our platform exists to remove the complexity that historically made spatial data slow, difficult, and expert-dependent.

Why BigGeo Exists and Why People Build Here

Joining BigGeo means contributing to technology that is shaping a new category as it takes form. The team BigGeo team is AI-enabled, cross-functional, and highly collaborative. We value ownership, clarity, and leveraging AI tools to build incredible momentum. The work moves quickly, expectations are high, and impact is visible because what we build is used in real-world environments.

At BigGeo, you will:

• Contribute to systems that influence how spatial data is managed and applied
• Leverage cutting edge AI tools so that your work shows up in real, high-impact use cases
• Collaborate with a multidisciplinary team solving complex, meaningful problems
• Work in an environment where autonomy is trusted, results matter, and AI tools are harnessed to boost creativity, output, and results

If you want to do work with real-world impact and help build foundational technology that changes how organizations understand and use spatial intelligence, BigGeo is the place to build that future.

Role Overview

BigGeo is looking for a Platform Engineer to build and operate the core infrastructure that powers the Spatial Cloud.

This role focuses on designing, implementing, and maintaining the platform systems that allow spatial data to be ingested, processed, and delivered reliably at scale. Platform Engineers ensure that the Spatial Cloud operates as durable, high-performance infrastructure capable of supporting real-world decision systems.

You will work closely with engineering, data, and product teams to ensure the platform remains reliable, scalable, and developer-friendly while supporting increasingly large spatial datasets and high-volume workloads.

Platform Engineers play a critical role in turning BigGeo’s architecture into production-grade infrastructure.

What You Will Build and Own

As a Platform Engineer, you will build and operate the systems that enable the Spatial Cloud to run reliably and scale globally.

You will contribute to:

• 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

Your work ensures that the Spatial Cloud remains stable, performant, and accessible to teams building spatial intelligence applications.

Core Responsibilities

Platform Infrastructure

• Design and implement scalable infrastructure that powers the Spatial Cloud
• Build distributed services that manage spatial data and compute workloads
• Ensure platform systems remain performant under large-scale data 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

Developer Platform

• 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 reliabilityEnsure 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

Platform engineering at BigGeo involves building modern, cloud-native infrastructure capable of processing large spatial datasets.

Common technologies include:

• 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
• AI-assisted development tools

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

BigGeo operates as a builder-driven startup environment where engineers are trusted to take ownership of systems and solve meaningful problems.

Engineers collaborate closely across platform, data, and product teams to design systems that support real-world spatial intelligence applications.

Expect:

• 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.