Watty is a fun and simple way to engage with your home energy. We’re a small team that’s growing and we’re looking for a backend software engineer for our engineering team in Stockholm. Join us to help build a product used by thousands of people every day and make the world a more sustainable place!

Watty is a fun and simple way to engage with your home energy. We’re a small team that’s growing and we’re looking for a backend software engineer for our engineering team in Stockholm. Join us to help build a product used by thousands of people every day and make the world a more sustainable place!

Watty is an AI startup that helps you make smart decisions and keeps your home and family safe. A world leader in energy data analytics. Wired ranked Watty as one of the hottest startups in Europe in 2017. 

Watty is an employee-majority owned company. We get to plan our future and take steps to moving towards it, without investor interference. This is a great responsibility that we take very seriously. We feel fortunate as few startups get this opportunity.

As a backend software engineer: 

You will work on distributed systems doing real-time stream processing of massive time series data. Our developers work on a variety of areas such as developing efficient time series algorithms, designing REST APIs, writing microservices and others using Python or Go as programming languages. Technologies we use include RabbitMQ and Apache Kafka, Apache Cassandra and PostgreSQL, Docker and Kubernetes.

We're looking for:

• At least 2 years of industry experience as a software engineer
• Experience of development for Linux/Unix systems

Bonus points if you have:

• Prior startup experience
• Knowledge of any technology mentioned above

As part of our team, you’ll enjoy:

• The hustle of a startup with a big mission
• Impact 
• Fantastic opportunity to disrupt the energy industry and solve exciting problems 
• Working with a diverse team of smart, creative, fun and highly motivated people 

What we’re building

Watty brings in multiple technology disciplines into one simple solution. Having AI and deep tech at its core, our algorithms communicate with appliances via its unique fingerprints. This combined with high resolution data makes our platform automated and streams real-time to deep learning systems.