Who we are

Qevlar AI is revolutionizing the SOC with autonomous investigation and, in doing so, solving three key problems for analysts: the cybersecurity talent shortage, alert fatigue, and increasingly complex and sophisticated threats.

Founded in 2023, we’ve already made waves in cybersecurity, AI, and start-up communities. A few highlights:

• Raised $14M in funding led by EQT Ventures and Forgepoint Capital

• Accepted into Station F’s flagship AI program (Meta, Hugging Face, Scaleway)

• Named by Sifted (Financial Times) as one of Europe’s cybersecurity startups to watch

• Joined Platform 58, La Banque Postale’s premier startup incubator

• Ranked among the top 10 most innovative startups in France by EU-Startups

• Secured early partnerships with major players across EMEA, NAMER, and MENA

• We have some exciting (and impressive) early customers we’re really excited about.

We’re at a pivotal stage — building fast, growing smart, and bringing on sharp minds to shape the future of autonomous cyber defense.

What will you do?

As an Integration Engineer, you’ll help us scale how Qevlar connects with the wider cybersecurity ecosystem. From APIs to tooling to architecture, you'll be at the front line of integrating external platforms with our Investigation engine.

Here’s what your first 6 months could look like:

• Deliver End-to-End Integrations
  Take full ownership of new integrations — from understanding a partner API to development, testing, deployment, and documentation.

• Lead with Autonomy
  Plan and drive integration work with minimal oversight. Proactively manage timelines, communication, and risks.

• Improve How We Integrate
  Suggest and implement improvements to our tooling, patterns, and overall integration framework to make future work faster and easier.

Who we’re looking for

Must-haves

• Proficiency in at least one programming language (bonus if it’s Python)

• Naturally curious and unafraid to dive into poorly documented APIs

• Business-minded: you understand the why behind what you’re building

Nice-to-haves

• Experience working with cybersecurity platforms or tools

• SQL and API debugging skills

• Familiarity with Python or related scripting environments

What success looks like

• More integrations delivered, faster and with higher quality

• Clear, maintainable integration code that others can easily pick up

• Streamlined integration processes and tooling for the whole team

Why Qevlar AI?

• Work on cutting-edge AI infrastructure challenges with a real-world impact

• Contribute to building a secure, AI-native platform changing how cybersecurity is done

• Be part of a tight-knit, high-caliber team that values autonomy and speed

• Opportunity for equity and early-stage ownership

• Remote-friendly, flexible work culture

Hiring process

1. Intro Call

2. Technical Interview

3. Case Study / System Walkthrough

4. Meet the Team
   

If you love solving problems, shipping integrations, and working where your code has immediate impact — we’d love to meet you.