About BigGeoBigGeo 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 BigGeoWe value ownership, clarity, and AI-driven momentum. Work moves quickly, expectations are high, and impact is visible through real-world deployments.Role OverviewPlatform EngineerAs 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 OwnCore platform infrastructure and distributed systemsSpatial data processing pipelines and servicesHigh-performance APIs and platform servicesInfrastructure automation and deployment pipelinesObservability and operational reliability systemsCore ResponsibilitiesPlatform InfrastructureDesign and implement scalable infrastructure that powers the Spatial CloudBuild distributed services that manage spatial data and compute workloadsReliability and OperationsImplement monitoring, logging, and observability systemsParticipate in incident response and reliability improvementsMaintain high availability and operational stability across servicesBuild internal tools and platform services that improve engineering productivitySupport APIs and infrastructure used by product and data teamsEnsure platform systems are easy to operate and extendPerformance OptimizationImprove performance of distributed services and spatial data processing systemsIdentify bottlenecks and improve throughput and reliabilityEnsure platform systems can scale with growing datasets and usageInfrastructure AutomationImplement infrastructure-as-code and automated deployment workflowsMaintain CI/CD systems that support rapid iteration and safe releasesAI-Enabled DevelopmentUse modern AI development tools to accelerate debugging, system analysis, and developmentContribute to engineering workflows that incorporate AI-assisted productivityTechnology and ToolsCloud infrastructure platforms (AWS, GCP, or equivalent)Containerized systems and orchestration platformsDistributed systems and microservices architecturesHigh-performance data systems and storage platformsAPI services and developer infrastructureInfrastructure-as-code and automated deployment pipelinesObservability, monitoring, and logging systemsOperational collaboration tools include Slack, Google Workspace, and Monday.Required Experience3–7 years of experience in platform engineering, infrastructure engineering, or backend systemsExperience building or operating distributed systems in productionExperience with cloud infrastructure and containerized environmentsStrong programming skills in languages commonly used for backend systemsExperience building reliable systems with monitoring and observability practicesFamiliarity with CI/CD and infrastructure automation workflowsPreferred ExperienceExperience working with geospatial or spatial data systemsExperience with high-performance data pipelines or real-time compute systemsFamiliarity with distributed data processing frameworksExperience supporting developer platforms or infrastructure toolsExperience working in startup or high-growth engineering environmentsWork Setting and CollaborationHigh autonomy and technical ownershipCross-functional collaboration with engineering, product, and data teamsContinuous learning and use of AI tools to improve productivityFast iteration cycles and production-focused engineeringWork that directly shapes the infrastructure of the Spatial CloudThe systems you help build will become foundational infrastructure for how organizations understand and act on the real world. #J-18808-Ljbffr

📌 Platform Engineer (Software) (Calgary)
🏢 BigGeo
📍 Calgary