DevOps and Site Reliability Engineer

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 HereMost 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 OverviewBigGeo 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 OwnCloud infrastructure supporting BigGeo production environmentsInfrastructure-as-Code frameworks and deployment pipelinesKubernetes clusters and container orchestration platformsCI/CD systems supporting engineering delivery workflowsMonitoring, logging, alerting, and observability platformsSecurity automation and compliance controlsReliability engineering practices and operational standardsService level objectives and reliability measurement frameworksIncident response processes and on-call practicesDisaster recovery and business continuity capabilitiesCost optimization frameworks across cloud environmentsInternal developer platforms and operational tooling 5. Core ResponsibilitiesDesign, deploy, and maintain scalable cloud infrastructureBuild and manage Infrastructure-as-Code solutionsDevelop and optimize CI/CD pipelines for engineering teamsOperate Kubernetes-based production environmentsImprove system reliability, performance, and fault toleranceImplement monitoring, observability, and alerting strategiesManage cloud networking, security, and access controlsAutomate operational processes and infrastructure workflowsLead incident response, root-cause analysis, and blameless postmortemsEstablish reliability standards, SLOs, and operational metricsPerform capacity planning for stateful and resource-intensive workloadsReduce operational toil through automation and elimination of recurring issuesCollaborate with engineering teams to improve deployment velocityEvaluate and integrate AI-powered operational and automation toolsContribute to platform architecture decisions and infrastructure strategy 6. Reliability and On-CallReliability 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 servicesBuild observability that makes system behavior measurable and actionablePerform capacity planning for both growth and failure scenariosDrive continuous improvement through postmortems and reliability reviews On-call Production alerting is automated and routed by severityOn-call responsibility is currently shared across the engineering team and is being formalized into a structured rotation as the team growsYou will participate in that rotation and help define escalation paths, response expectations, and handoff practicesNew team members shadow incidents before taking primary responsibilityOn-call scheduling and supporting policies are being established as part of this work 7. Required Experience4+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure EngineeringStrong experience operating cloud infrastructure in production environmentsExperience building Infrastructure-as-Code solutionsExperience managing Kubernetes and containerized workloadsKnowledge of CI/CD pipelines and deployment automationStrong Linux systems administration skillsExperience with monitoring, logging, and observability platformsUnderstanding of networking, security, and distributed systems conceptsExperience supporting production incident response and troubleshootingExperience participating in an on-call rotation for production systemsStrong communication and cross-functional collaboration skills 8. Preferred ExperienceExperience supporting large-scale data platformsExperience with geospatial or location-based systemsExperience building internal developer platformsExperience with multi-cloud environmentsFamiliarity with high-volume data processing systemsExperience implementing reliability engineering practicesExperience defining SLOs, SLIs, and error budgetsExperience establishing or improving on-call and incident response processesKnowledge of database operations and performance tuningExperience working within startup or high-growth technology environmentsExperience integrating AI systems into operational workflows 9. Work Environment and CollaborationBigGeo operates as a highly collaborative, AI-native startup environment. 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.