Backend Software Developer (Energy, Time Series & Data Flows)

Enersee is scaling its platform and we’re looking for a backend software developer to build the services, integrations, and data flows that power our energy efficiency product. Your focus is production-grade backend engineering: designing systems that reliably move data from “source → validated → served,” and keep working under real-world conditions. What you’ll do Build backend services that run in production Design and implement scalable backend services (Python, APIs, internal services). Own reliability: monitoring, logging, alerting, performance, debugging, incident follow-up. Write clean, testable code and improve existing architecture where needed. Build and evolve data flows (core) Design and implement end-to-end data flows : ingestion → validation → AI analytics → exposure (API/product). Ensure data correctness and traceability (versioning, lineage, retries, idempotency, backfills). Improve throughput and latency of critical flows; handle spikes and partial failures gracefully. Build tooling around flows: observability dashboards, failure handling, replay/backfill utilities. Integrations + time series pipelines Build and maintain connectors for time series energy & water data and related metadata. Handle messy real-world inputs: missing intervals, time zones/DST, duplicates, late-arriving data, inconsistent schemas. Work with customers/partners to troubleshoot and stabilize integrations. Collaborate with data/AI without being ML-first Collaborate with data/ML teammates so the backend supports model deployment and feature delivery. Turn product requirements into robust backend implementations (APIs, workflows, pipelines).