Senior Software Engineer (m/f/d): AI-Native Development

Job Description

We protect our customers’ digital infrastructure, keeping it secure, fast, and online, even under active attack. As a cybersecurity provider, we run high-performance systems in a genuinely hostile environment, where code quality, security, and rigorous input validation are not hygiene: they are the product. Our customers trust us with business-critical traffic, and we build and operate to the highest standards of certification for critical infrastructure.

Your Responsibilities

• Own features end-to-end, from backend service design through to the frontend slice the feature needs, in an international, cross-functional team of software engineers, QA and OPS professionals
• Design, validate and advocate architecture decisions for your team’s verticals, with a bias toward well-structured, service-oriented backends
• Work AI-natively: use AI coding agents as core tooling to move faster and raise quality, while staying fully accountable for the code you ship
• Drive technical discussions and decisions with your team
• Push toward continuous delivery, improving both the software and how we build it
• Write code that performs, and holds up in production under hostile, high-volume traffic, with security and input validation built in from the start

Your Qualifications

• You think in systems. You start from the problem and the constraints, not from a favorite language. To you the difference between languages is largely syntax; what actually matters is the environment code runs in: performance, portability, compatibility, operational cost, and long-term maintenance
• You can explain your choices. You can walk us through a time you chose one language or runtime over another, and the trade-offs that drove the decision, and you can do the same for the frontend when a feature calls for it
• You’ve gone deep, not just broad. At least 5 years of intensive, hands-on coding and engineering experience — this is a senior role and not a fit for juniors — with genuine depth in at least one or two ecosystems. Our stack today is mostly PHP / Symfony, React and GraphQL; Edge systems use C, Rust and Python mostly.
• We care a lot about experience with Python, Go, C and/or Rust. These are parts that are being introduced to our dev department and where a significant part of our edge logic is based in, and someone who already reasons and builds fluently in them will make an outsized difference; this is a real signal for us, not a nice-to-have footnote
• Security and code quality are instincts, not afterthoughts. You write code that holds up under hostile, high-volume traffic; you treat every input as untrusted, validate rigorously, and understand how a weak boundary or a hot-path regression becomes an attack surface. Reliability under load is a first-class concern for you
• You’re fluent with AI-assisted development. You treat AI coding agents as core tooling; you know their strengths and limits, and you own the outcome (including reviewing AI-written code for exactly the security and validation gaps above)
• You reason comfortably about the whole picture: APIs, services, data, and the frontend the feature owns; you don’t stop at a language boundary
• You're at home on Linux systems, and CI/CD pipelines, containerization (Docker), and deployment considerations are a natural part of how you think about shipping software, not foreign territory
• Curious by default; you like to validate ideas hands-on with POCs and RFCs
• At home in an agile team with structured requirements, and quick to learn
• You speak and write English fluently