Software Engineer

What We Do

Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available - even when the sun isn't shining and the wind isn't blowing.

Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow.

Who We Are

Tech company at heart - purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world.

At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish.

To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Software Engineer to join our Asset Optimisation domain.

About The Role

Our optimization services decide how Flower's flexibility and renewable portfolios are allocated across energy and balancing markets, from days in advance, continuously updating right up to delivery. Our systems run fully automated and dispatch hundreds of MWs of flexible capacity to where the grid or market needs it most.

As a Software Engineer, you will join a quant-heavy team of data scientists, optimization engineers and energy market experts. Your focus is the engineering side of these services: architecture, tooling, reliability, system interfaces, observability. This is a hands-on role - you will write code every day and own the standards and foundation the rest of the team builds on.

What You'll Do

• Own the structure and quality of our optimization codebase - architecture, refactoring, testing - and set the engineering bar the team works to
• Ensure the optimization stack holds up as we scale our portfolio to GW-scale and new geographies
• Standardize what is currently bespoke, and decide what has to be rebuilt versus hardened
• Handle reliability and edge cases in the trading path, define graceful failure modes - for example, what should happen when a bid submission fails halfway through?
• Define interfaces towards other teams and take part in those discussions on behalf of the team
• Own our optimization environments, infosec hygiene & testing infra across our services
• Maintain and improve CI, deployments, observability and alerting

Who You Are

• ~ 3-7 years of experience building and running software in production
• Fluent in Python and related tooling (uv, prek, ruff, ty, FastAPI, Pydantic, DuckDB)
• Experience managing quantitative models in production (simulation, optimization, heavy batch compute, ML workloads)
• Experience with AWS (Modal is a plus)
• Hands-on across the stack, from architecture down to repo settings, pipelines and environments, and the occasional internal frontend
• Solid instincts for system design and API boundaries, comfortable having these conversations with adjacent teams
• Pragmatic - you can tell a bad idea from a good one on your own, and you know when good enough is good enough
• Motivated to work in energy markets & in a trading environment

Location

Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model.

✉ Apply

Our corporate language is English, as we have about 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English.

Throughout the recruitment process you will meet with the Talent Partner, the Head of Predictions & Asset Optimization, our Product Manager, the Team for a tech assessment and the VP of Engineering.

We look forward to hearing from you!

We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

Locations Stockholm Employment type Full-time