Platform/DevOps Engineer

About Vasco

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.

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.

What you will do

• Platform standards: Own the quality bar for our infrastructure, security, observability, and monitoring, and maintain the blueprints and guardrails that let every engineer and their AI tools contribute safely. When a change misses the bar, you step in and fix the standard.

• Infrastructure as code: Own our GCP infrastructure and Kubernetes platform as code in Terraform, so every environment is reviewable, repeatable, and ready to grow.

• Delivery and developer experience: Maintain and improve the CI/CD, self-service tooling, and your part of our harness so shipping stays fast, safe, and reliable, including for AI-written code, with evidence a change is done.

• Reliability and observability: Instrument the production signals that matter, good and bad, and cut the noise. Own the incident process so we catch issues before customers or support do, keep stakeholders informed, and fix fast, while squads own their alert routes.

• Cost optimization: Own our cloud, vendor, and LLM costs: set targets, cut waste, and keep the trend visible.

• Security and compliance: Own data security and access for systems that hold customer revenue data (IAM, secrets, network controls, Cloudflare, Aikido, model inference), with least privilege for all access, and help Seb keep us compliant.

• Data platform support: Support the infrastructure behind our data pipelines and warehouse, alongside our data engineers.

What we’re looking for

• Production infrastructure owner, with 6+ years of relevant experience. If you’ve owned production cloud infrastructure end-to-end, on GCP or a close equivalent, as the main person responsible for it, let’s talk.

• Infrastructure as code. You've managed production environments with Terraform, with code as the only way infrastructure changes.