About the role Platform/DevOps at Vasco has been a shared responsibility across our engineers. We're now hiring the first owner of our DevOps practice and infrastructure platform. In this role, you'll be accountable for the quality and standards of our infrastructure, security, observability, and monitoring, reporting to Seb, our CTO, and working with our product and data engineers. You'll set the blueprints and guardrails that let every engineer contribute to the platform fast and safely, and when something falls below the bar, you step in and fix the standard so the same miss does not repeat. Twelve months in, our engineers ship faster and safer on a platform that keeps getting stronger, and production runs with clear ownership when something breaks. You'll take on a lot of ownership and have a direct impact, with little red tape between you and the decisions. This role has a high bar: the problems are hard, we have strong foundations to build on, and you'll own infrastructure decisions and their implementation. We expect high autonomy and accountability, and the scope you own grows with your experience. We'll meet you where you are, and what matters is that you make the team better and more capable of facing complex technical challenges. We're an early-stage startup, so you should be ready to stretch beyond your comfort zone, stay open-minded, and wear more hats than your title suggests. You're AI-forward and you actively contribute to how we work with AI as a team. For transparency, the internal title for this role is Software Developer.
Vasco is the revenue context layer for AI agents. The product was built around one idea: confident is not the same as correct, and revenue decisions get made on confidence all the time. We structure CRM, billing, calls, and support data into a semantic layer where every metric is sourced, every definition is locked, and every answer is deterministic, then build agents that take the manual busywork off people's plates. Our cofounders Guillaume and Seb already built and sold one startup together; today they are building the product they wished they had. Vasco's mission is to enable builders and GTM leaders to build a revenue engine that moves the business forward on data they can trust. Curious how we build? Take a look at our young engineering blog.
Platform/DevOps at Vasco has been a shared responsibility across our engineers. We're now hiring the first owner of our DevOps practice and infrastructure platform. In this role, you'll be accountable for the quality and standards of our infrastructure, security, observability, and monitoring, reporting to Seb, our CTO, and working with our product and data engineers. You'll set the blueprints and guardrails that let every engineer contribute to the platform fast and safely, and when something falls below the bar, you step in and fix the standard so the same miss does not repeat. Twelve months in, our engineers ship faster and safer on a platform that keeps getting stronger, and production runs with clear ownership when something breaks. You'll take on a lot of ownership and have a direct impact, with little red tape between you and the decisions. This role has a high bar: the problems are hard, we have strong foundations to build on, and you'll own infrastructure decisions and their implementation. We expect high autonomy and accountability, and the scope you own grows with your experience. We'll meet you where you are, and what matters is that you make the team better and more capable of facing complex technical challenges. We're an early-stage startup, so you should be ready to stretch beyond your comfort zone, stay open-minded, and wear more hats than your title suggests. You're AI-forward and you actively contribute to how we work with AI as a team. For transparency, the internal title for this role is Software Developer.
Why Vasco Small, high-caliber team, with experienced founders still building alongside you. Early-stage pace and real ownership: the problems are unsolved, the path isn't fixed, and your judgment and capabilities shape what happens next. AI-forward, both in how we work day to day and in what we build for cu
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