At Sourceful, we’re not building another energy app – we’re creating the Home Energy Layer, the infrastructure that connects solar panels, batteries, EVs, and meters. By turning households into sovereign energy nodes, we’re enabling a bottom-up energy transition and building the missing link between millions of homes and a sustainable, resilient grid.
As a Senior MLOps/Platform Engineer, you’ll be at the core of this mission. Every model update, pipeline optimization, and infrastructure decision directly impacts how efficiently thousands of households consume, store, and share energy. Your job is to build the platform that makes intelligence flow seamlessly from edge devices to the cloud – enabling models to move from idea to production in hours, not weeks.
You’ll design and deploy:
ML Platform from Scratch – the full MLOps stack, from ingestion to serving.
Real-time Data Pipelines – handling millions of signals from meters, inverters, weather APIs, and markets.
Experimentation Frameworks – A/B testing for rapid algorithm improvement.
Edge–Cloud Orchestration – bridging local household intelligence with central coordination.
Developer Velocity Tools – empowering engineers to iterate faster.
Monitoring & Reliability – observability, drift detection, and automated retraining.
We seek engineers with 5+ years building ML/data infrastructure, strong DevOps skills (Kubernetes, Docker, CI/CD), and experience in large-scale data systems (Kafka, Spark, or similar). You’re cloud-native (AWS/GCP/Azure), fluent in Linux, and comfortable architecting systems for scale and reliability. Bonus points for experience with time series databases, IoT protocols, or distributed systems.
This is an on-site role in Kalmar – because we believe breakthroughs happen when brilliant minds work side by side. In return, we offer competitive pay, meaningful equity, and the opportunity to directly accelerate the renewable energy transition with a world-class engineering team.