Backend Software Developer

• 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).

Must-have: strong backend development

• Solid experience building production backends in Python (FastAPI, SQLAlchemy, and similar)
• Strong software engineering fundamentals: architecture, testing, CI/CD habits, code reviews, performance, code ownership & reliability mindset.
• Experience designing and operating data flows (or event-driven workflows) in production.

Nice-to-have: time series + energy efficiency

• Hands-on experience with time series data (processing, validation, edge cases).
• Experience or strong affinity with energy efficiency / buildings / energy monitoring / utilities / IoT contexts.
• Experience with streaming or message-based systems (queues/events), or batch pipelines with backfills.
• Cloud experience (AWS/GCP), containers, infrastructure-as-code.
• Experience improving operational maturity: SLOs, alerting, runbooks, incident reviews.

Don’t check every box?

Smart people don’t always follow straight lines. If you believe in what we’re doing and think you can help us grow, we want to hear from you.