Backend Software Developer (Energy, Time Series & Data Flows)
Description
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
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Design and implement scalable backend services (Python, APIs, internal services).
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Own reliability: monitoring, logging, alerting, performance, debugging, incident follow-up.
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Write clean, testable code and improve existing architecture where needed.
Build and evolve data flows (core)
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Design and implement end-to-end data flows : ingestion → validation → AI analytics → exposure (API/product).
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Ensure data correctness and traceability (versioning, lineage, retries, idempotency, backfills).
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Improve throughput and latency of critical flows; handle spikes and partial failures gracefully.
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Build tooling around flows: observability dashboards, failure handling, replay/backfill utilities.
Integrations + time series pipelines
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Build and maintain connectors for time series energy & water data and related metadata.
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Handle messy real-world inputs: missing intervals, time zones/DST, duplicates, late-arriving data, inconsistent schemas.
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Work with customers/partners to troubleshoot and stabilize integrations.
Collaborate with data/AI without being ML-first
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Collaborate with data/ML teammates so the backend supports model deployment and feature delivery.
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Turn product requirements into robust backend implementations (APIs, workflows, pipelines).