Staff Engineer - Platform & Tooling

About this role

Who is Atominvest Atominvest is the operating system for modern private markets asset managers. Our modular, flexible SaaS technology underpins key investor- and portfolio-management workflows. Our customers are sophisticated private equity, growth equity, and private credit firms managing billions in assets globally. We aim to deliver ongoing high-quality outcomes for them through a long-term partnership mindset. At Atominvest, you’ll be working on something very exciting: the future of work, investments and sustainability/ ethical investing for the world’s best investors and delivering a positive impact through this.

Based on the growth we are experiencing, we think we’re on to something big. It won’t be easy. Joining a scale up business is an amazing and rewarding challenge, pushing well beyond the boundaries of natural growth cycles. You’ll move quicker than feels comfortable and be brilliant at continually re-prioritizing what must get done to keep Atominvest growing year over year at the pace of the best SaaS companies on the planet.

We’ve gone from zero to ten, now we’re looking to go from ten to one hundred! ABOUT THE ROLE Hi, I'm Thomas, VP Engineering at Atominvest. This is the hire I'm most excited about, so I wanted to tell you about it myself. You'll own the platform our clients run on and build the AI development harness our engineers work in day to day. That work runs from infrastructure to application code, so we're looking for an experienced engineer with breadth across both, and depth in at least one.

Together, it's what lets a small, lean team, working alongside AI agents, ship like a much bigger one. By platform, we mean everything our product and our engineers stand on: infrastructure, security, test automation, developer experience, and the agent pipelines that run through all of them. It's a broad, hands-on role. You'll write infrastructure as code for a new service one day and address network vulnerabilities the next, then enhance our AI development harness and release a new feature, all within the same month.

You might be a platform engineer who loves shipping product, or a full-stack engineer who has run serious production infrastructure. Either works. As deployments grow more complex, the team needs your depth in infrastructure and distributed systems. You'll strengthen the architecture and make the design decisions the platform will rest on for years. Those decisions should leave room to grow, because future products may bring much larger volumes of data than we handle today.