{"id":2185054,"url":"https://alion.io/job/kpler-senior-backend-engineer-commodities","title":"Senior Backend Engineer - Commodities","company":{"id":4764,"name":"Kpler","domain":"kpler.com","url":"https://alion.io/company/kpler","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece","Hungary"],"countries":["GR","HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":82000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6426},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"FastAPI","optional":false},{"name":"Incident Management","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"ElasticSearch","optional":true},{"name":"JavaScript","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-10-09T12:31:14Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T17:29:38Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Role \nAs a Senior Software Engineer on our founding Connected Supply Chain team, you will serve as a core technical owner extending Kpler’s real-time trade intelligence platform into North American inland supply chains. You will lead the design, implementation, and operation of major platform subsystems-fusing real-time pipeline sensor telemetry, rail, and waterway data with existing maritime tracking. Operating on a high-autonomy \"you build it, you run it\" model, your work will directly deliver a unified, production basin-to-export terminal intelligence platform to paying customers. \nKey Responsibilities\nDesign, build, and operate major platform components end-to-end, spanning high-throughput streaming ingestion (Kafka, Airflow, Python/FastAPI) to web applications (TypeScript/Vue).\n\nLead subsystem architecture by writing design specifications, conducting peer reviews, and making pragmatic build-versus-adapt decisions.\n\nGuarantee production operational excellence through rigorous SLO management, comprehensive system observability, on-call rotation, and incident response.\n\nArchitect data quality frameworks-including telemetry validation, reconciliation, and time-series monitoring-to ensure field sensor data is accurate and reliable.\n\nCollaborate with core marine tracking and data platform teams to seamlessly integrate inland data feeds into Kpler's broader platform architecture.\n\nMentor mid-level engineers through technical design guidance, code reviews, and pair programming while setting team-wide engineering conventions.\n\nPartner directly with early customers (traders, analysts, operations teams) and product leaders to demo features, gather feedback, and shape product roadmaps.\n\nExperience & Background\nWhat you'll need (Must-haves)\n5+ years of professional software engineering experience building and operating distributed production systems.\n\nProven experience architecting event-driven or data-intensive systems using streaming technologies like Kafka or similar message queues.\n\nStrong backend engineering mastery in Python and REST API design (e.g., FastAPI), alongside comfort contributing to frontend surfaces (TypeScript/Vue).\n\nDirect experience managing production cloud infrastructure (AWS preferred), including SLO establishment, incident management, and deep observability.\n\nDemonstrated capability to mentor engineers, guide technical discussions, and engage directly with end-users or stakeholders.\n\nNice-to-haves\nExperience with Scala or running Elasticsearch clusters at scale.\n\nHands-on background handling IoT telemetry, remote sensor feeds, time-series data, or geospatial datasets.\n\nDomain knowledge in energy, oil & gas, or global commodities markets.\n\nPrior experience as an early or founding engineer in a new product initiative.","description_format":"text","description_chars":2793,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"},{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets","Supply Chain & Logistics Software","Financial Data & Market 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