DevOps and Site Reliability Engineer We help companies manage and access the world’s spatial data. We’re building something that hasn’t existed before: a new layer of the internet where the “where” and “when” behind every decision is instantly clear, programmable, and actionable. Our platform removes the complexity that has kept spatial data locked in silos for decades, and replaces it with speed, precision, and control. We’re a Calgary-based company, early and moving fast, with real customers, real infrastructure, and a clear point of view on where the world is going. They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world. We’re not building another tool. We’re building the rails that connect the planet’s moving data to the systems that run the world. That’s a big problem, and it takes people who care about doing things right, not just rapid. We’re not competing for the middle of an existing market. Your fingerprints are on the architecture. We’re at the stage where the decisions you make today become the foundation tomorrow. What you ship matters. We run on clarity, not politics. Spatial data at scale is a genuinely difficult domain. We’re building for longevity. We’re building infrastructure, the kind that compounds in value over time and earns the trust of the companies that depend on it. 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. Cloud infrastructure supporting BigGeo production environments Infrastructure-as-Code frameworks and deployment pipelines CI/CD systems supporting engineering delivery workflows Monitoring, logging, alerting,



and observability platforms Security automation and compliance controls Reliability engineering practices and operational standards Internal developer platforms and operational tooling 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 Lead incident response, root-cause analysis, and blameless postmortems 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 Reliability is treated as a core engineering responsibility at BigGeo rather than a separate function. This role carries meaningful ownership of it. Reliability engineering Perform capacity planning for both growth and failure scenarios Drive continuous improvement through postmortems and reliability reviews 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 On-call scheduling and supporting policies are being established as part of this work Technology and Tools The exact stack will evolve as the platform grows, but experience with many of the following technologies is expected: AWS, Azure, or Google Cloud Platform Infrastructure and Automation AI Tooling Modern AI assistants and development tools AI-supported operational automation AI-enhanced monitoring and troubleshooting workflows 4+ years of experience in DevOps, Site Reliability Engineering, Platform Eng

📌 Un(e ingénieur DevOps (Canada)
🏢 BigGeo
📍 Canada