Software Engineer - Internal Tooling

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.

⚡️ 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.