Real-Time Backend Engineer for Energy Grid Platform

Ingrid; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

Ingrid is seeking a Backend Engineer to join the Platforms team. You’ll dive deep into real-time, event-driven systems and own production-grade Python services that power trading, grid balancing, and asset optimisation.

You’ll design and ship microservices in the cloud (FastAPI, SQLModel/SQLAlchemy, PostgreSQL, Redis), implement CI/CD, monitoring, and secure auth, and collaborate closely with trading and data teams.

Qualifications

• Deep backend experience in Python and production services with modern tooling.
• Experience with event-driven or distributed systems and message queues.
• Cloud familiarity, ideally GCP, with observable and healthy production services.
• Energy sector experience is a plus but not required; interest in the domain helps.
• Interest in AI tooling to sharpen workflow and collaboration.

Responsibilities

• Go deep in one key domain (Optimisation & Trade, Delivery & Steering, or Partner Experience Platform) and grow with scale.
• Design, build and maintain production-grade backend services in Python with RESTful and event-driven APIs.
• Build real-time, event-driven systems that react to trading markets and data streams.
• Design and evolve databases (PostgreSQL, Redis, BigQuery, S3) and ensure migrations are clean.
• Own the path from commit to production with CI/CD, containerisation, and observability.

Skills

Python

FastAPI

Cloud (GCP)

Distributed systems

Pub/Sub / Kafka

CI/CD

Tools

PostgreSQL

Redis

SQLAlchemy

SQLModel

Alembic

Docker

Job description

Ingrid is seeking a Backend Engineer to join the Platforms team. You’ll dive deep into real-time, event-driven systems and own production-grade Python services that power trading, grid balancing, and asset optimisation.

You’ll design and ship microservices in the cloud (FastAPI, SQLModel/SQLAlchemy, PostgreSQL, Redis), implement CI/CD, monitoring, and secure auth, and collaborate closely with trading and data teams.