{"schemaVersion":"jobsearcher.job.v1","id":"2a4d2ee29d9918e459d3608d","url":"https://jobsearcher.com/jobs/2a4d2ee29d9918e459d3608d","canonicalUrl":"https://jobsearcher.com/jobs/2a4d2ee29d9918e459d3608d","title":"Senior Backend Engineer - Commodities","description":"OverviewIn this role you will own and build core components of Kpler's real-time trade intelligence platform, extending inland data feeds into the broader system. You'll design and operate high-throughput, data-driven subsystems and collaborate with marine tracking teams to deliver a unified platform for customers. The role emphasizes ownership, operational excellence, and direct engagement with early customers to shape the product roadmap. This is a high-autonomy, build-and-run environment focused on scalable, production-grade solutions.ResponsibilitiesDesign, build, and operate major platform components end-to-end (streaming ingestion with Kafka, Airflow; backend in Python/FastAPI; frontend in TypeScript/Vue)Lead subsystem architecture through design specs, peer reviews, and build-versus-adapt decisionsMaintain production excellence via SLOs, observability, on-call rotations, and incident responseArchitect data quality frameworks including telemetry validation, reconciliation, and time-series monitoringCollaborate with marine tracking and data platform teams to integrate inland feeds into the platformMentor mid-level engineers with technical guidance and coding standardsEngage with early customers and product leaders to demo features, gather feedback, and influence roadmapsKey requirements5+ years of professional software engineering experience in distributed production systemsExperience architecting event-driven or data-intensive systems using streaming technologies like KafkaStrong backend in Python and REST API design (FastAPI), with frontend contributions (TypeScript/Vue)Experience managing production cloud infrastructure (AWS preferred), including SLOs, incident management, and observabilityProven ability to mentor engineers and engage with end-users or stakeholdersMentoring and technical guidanceCustomer-facing collaboration with traders, analysts, and operations teamsStrong communication and problem-solving under pressureKafka or similar message queuesAirflowPython","company":"Kpler","rawCompany":"kpler","city":"Tulsa","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:17:21.233Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Backend Engineer - Commodities","description":"OverviewIn this role you will own and build core components of Kpler's real-time trade intelligence platform, extending inland data feeds into the broader system. You'll design and operate high-throughput, data-driven subsystems and collaborate with marine tracking teams to deliver a unified platform for customers. The role emphasizes ownership, operational excellence, and direct engagement with early customers to shape the product roadmap. This is a high-autonomy, build-and-run environment focused on scalable, production-grade solutions.ResponsibilitiesDesign, build, and operate major platform components end-to-end (streaming ingestion with Kafka, Airflow; backend in Python/FastAPI; frontend in TypeScript/Vue)Lead subsystem architecture through design specs, peer reviews, and build-versus-adapt decisionsMaintain production excellence via SLOs, observability, on-call rotations, and incident responseArchitect data quality frameworks including telemetry validation, reconciliation, and time-series monitoringCollaborate with marine tracking and data platform teams to integrate inland feeds into the platformMentor mid-level engineers with technical guidance and coding standardsEngage with early customers and product leaders to demo features, gather feedback, and influence roadmapsKey requirements5+ years of professional software engineering experience in distributed production systemsExperience architecting event-driven or data-intensive systems using streaming technologies like KafkaStrong backend in Python and REST API design (FastAPI), with frontend contributions (TypeScript/Vue)Experience managing production cloud infrastructure (AWS preferred), including SLOs, incident management, and observabilityProven ability to mentor engineers and engage with end-users or stakeholdersMentoring and technical guidanceCustomer-facing collaboration with traders, analysts, and operations teamsStrong communication and problem-solving under pressureKafka or similar message queuesAirflowPython","datePosted":"2026-10-26T13:17:21.233Z","dateModified":"2026-10-26T13:17:21.233Z","hiringOrganization":{"@type":"Organization","name":"Kpler","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tulsa","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2a4d2ee29d9918e459d3608d"},"url":"https://jobsearcher.com/jobs/2a4d2ee29d9918e459d3608d"}}