CAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors, empowering them to engage and transact with leading asset managers on a massive scale through a wide variety of alternative investment products and technology solutions. CAIS provides financial advisors with a broad selection of alternative investment strategies, including hedge funds, private equity, private credit, real estate, digital assets, and structured notes. CAIS also delivers industry-leading technology, operational efficiency, and world-class client service throughout the pre-trade, trade, and post-trade experience. CAIS serves over 2,500 wealth management firms that support more than 65,000 financial advisors who oversee approximately $8.5 trillion in end-client assets.
We’re looking for a Senior Backend Product Engineer to join our Capital Markets technology team in London. This is a hybrid, hands-on role: you’ll design, build and run systems across Pre-Trade, Trade and Post-Trade, covering Structured Investments, Equity IPOs, Hedging & Monetization, ETFs, and more.
We put a lot of emphasis on the “product” in product engineer. You’ll work alongside product managers and directly with the business to turn open-ended problems into working software, and the results show up in how a fast-growing company performs. AI is a big part of how we work: the team uses it throughout the development lifecycle and has already shipped several agentic features. You’ll help build the next ones.
We work in small, autonomous teams using the Kanban principles of optimizing flow and limiting WIP. The team owns its work together, from shaping the problem through to running it in production. We collaborate closely with colleagues and stakeholders in New York. Engineers own their work from shaping the problem through to running it in production. While we have access to QA expertise, we consider quality to be everyone’s responsibility, so engineers own testing too. We care about strong engineering fundamentals, especially as AI changes how we build.
You’ll mostly write Kotlin, working with Spring, Postgres, Elasticsearch and Kafka, and deploying to Kubernetes on AWS through GitHub and ArgoCD.