1. 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 building the infrastructure layer for spatial intelligence. Our platform enables organizations to store, process, index, query, and analyze massive geospatial datasets at global scale. We are defining the Spatial Cloud category and building the systems that make spatial data accessible, actionable, and performant for modern applications.

2. Why BigGeo Exists and Why People Build Here Most organizations struggle to manage and access spatial data at scale. Data volumes continue to grow, infrastructure becomes increasingly complex, and teams spend more time maintaining systems than generating insights.

BigGeo exists to remove those constraints.

We are building the Spatial Cloud so organizations can work with spatial data of any size, any slice, and derive meaningful insights in seconds rather than hours or days.

Building at BigGeo means working on foundational infrastructure problems that sit at the intersection of cloud computing, distributed systems, geospatial technology, data engineering, and artificial intelligence. Team members are trusted with meaningful ownership, encouraged to think from first principles, and expected to build systems that become core components of a category-defining platform.

We believe AI-native organizations will fundamentally change how companies operate. Every team member is expected to leverage modern AI systems to improve productivity, decision-making, software quality, and operational excellence.

3. Role Overview BigGeo is seeking a DevOps & Site Reliability Engineer to design, automate, secure, and operate the infrastructure that powers the Spatial Cloud.

This role is responsible for building reliable cloud infrastructure, deployment systems, observability platforms, security controls, and operational tooling that enable engineering teams to deliver production software with confidence.

The role combines DevOps and Site Reliability Engineering responsibilities. You will build the systems that deliver software to production, and you will own the reliability of what runs there — service level objectives, observability, capacity planning, incident response, and the on-call practice that supports them. We combine these deliberately: engineers who build delivery systems make better reliability decisions when they also operate what they ship.

You will work closely with software engineers, platform engineers, data engineers, and product teams to ensure BigGeo’s systems remain scalable, resilient, secure, and highly available as the platform grows.

This role is ideal for someone who enjoys building infrastructure as a product, automating everything possible,



and creating systems that allow engineering teams to move faster without sacrificing reliability.

4. What You Will Build and Own

Cloud infrastructure supporting BigGeo production environments

Infrastructure-as-Code frameworks and deployment pipelines

Kubernetes clusters and container orchestration platforms

CI/CD systems supporting engineering delivery workflows

Monitoring, logging, alerting, and observability platforms

Security automation and compliance controls

Reliability engineering practices and operational standards

Service level objectives and reliability measurement frameworks

Incident response processes and on-call practices

Disaster recovery and business continuity capabilitiesCost optimization frameworks across cloud environments

Internal developer platforms and operational tooling

5. Core Responsibilities

Design, deploy, and maintain scalable cloud infrastructure

Build and manage Infrastructure-as-Code solutions

Develop and optimize CI/CD pipelines for engineering teams

Operate Kubernetes-based production environments

Improve system reliability, performance, and fault tolerance

Implement monitoring, observability, and alerting strategies

Manage cloud networking, security, and access controls

Automate operational processes and infrastructure workflows

Lead incident response, root-cause analysis, and blameless postmortems

Establish reliability standards, SLOs, and operational metrics

Perform capacity planning for stateful and resource-intensive workloads

Reduce operational toil through automation and elimination of recurring issues

Collaborate with engineering teams to improve deployment velocity

Evaluate and integrate AI-powered operational and automation tools

Contribute to platform architecture decisions and infrastructure strategy

6. Reliability and On-Call Reliability is treated as a core engineering responsibility at BigGeo rather than a separate function. This role carries meaningful ownership of it.

Reliability engineering

Define and maintain service level objectives for critical services

Build observability that makes system behavior measurable and actionable

Perform capacity planning for both growth and failure scenarios

Drive continuous improvement through postmortems and reliability reviews

On-call

Production alerting is automated and routed by severity





On-call responsibility is currently shared across the engineering team and is being formalized into a structured rotation as the team grows

You will participate in that rotation and help define escalation paths, response expectations, and handoff practices

New team members shadow incidents before taking primary responsibility

On-call scheduling and supporting policies are being established as part of this work

7. Required Experience

4+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering

Strong experience operating cloud infrastructure in production environments

Experience building Infrastructure-as-Code solutions

Experience managing Kubernetes and containerized workloads

Knowledge of CI/CD pipelines and deployment automation

Strong Linux systems administration skills

Experience with monitoring, logging, and observability platforms

Understanding of networking, security, and distributed systems concepts

Experience supporting production incident response and troubleshooting

Experience participating in an on-call rotation for production systems

Strong communication and cross-functional collaboration skills

8. Preferred Experience

Experience supporting large-scale data platforms

Experience with geospatial or location-based systems

Experience building internal developer platforms

Experience with multi-cloud environments

Familiarity with high-volume data processing systems

Experience implementing reliability engineering practices

Experience defining SLOs, SLIs, and error budgets

Experience establishing or improving on-call and incident response processes

Knowledge of database operations and performance tuning

Experience working within startup or high-growth technology environments

Experience integrating AI systems into operational workflows

9. Work Environment and Collaboration BigGeo operates as a highly collaborative, AI-native startup workplace.

This is an on-site role based in Calgary, Alberta. Candidates must be located in the Calgary area or willing to relocate.

Team members are expected to take ownership, move quickly, communicate clearly, and contribute beyond traditional role boundaries when needed. You will work closely with engineering, product, data, and leadership teams while helping establish the operational foundation of a category-defining company.

Success in this role requires curiosity, initiative, systems thinking, and a desire to build infrastructure that enables others to do their best work.

You will have significant influence over how BigGeo scales its platform, operations, and engineering capabilities as we continue defining the Spatial Cloud category.

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📌 DevOps and Site Reliability Engineer (Winnipeg)
🏢 BigGeo
📍 Winnipeg