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?

You’ll play a critical role in evolving our core web platform — both frontend and backend — with a focus on performance, API design, and product integrations. This is a backend-heavy role with a full-stack flavor.

Backend Scalability & API Performance

• Refactor REST APIs to reduce over-fetching and inefficient database calls.
• Push async processing across high-latency parts of the stack.
• Introduce structured pagination, connection pooling, or background jobs

Database Modeling & Architecture

• Enhance scalability and maintainability.
• Debug, refactor, and optimize slow queries.

Integrations & Observability

• Hook up tools like PostHog, Mixpanel, and Sentry for better product & tech insight
• Build integrations with external APIs for internal tools or client-facing features

Who we’re looking for

• Strong Python developer with experience using SQLAlchemy
• Frontend experience with Vue.js (or another SPA framework)
• Comfort with frontend responsiveness, UX, and styling polish
• Solid CSS skills (flexbox, CSS variables, utility-first frameworks)
• Deep experience with PostgreSQL and relational design
• Query performance ninja — can explain indexing, execution plans, JOIN optimisation, and caches
• Knowledge of security best practices (JWT, SSO, OWASP top 10)
• Skilled in designing efficient, scalable REST APIs

What success looks like

• Noticeably faster frontend performance
• Cleaner, more maintainable APIs and schemas
• Improved monitoring and external tool integrations
• Seamless collaboration with other engineers and product folks
• Tangible impact on platform features and user experience

Why join Qevlar AI?

• Work on meaningful problems with real-world impact in cybersecurity
• join a small, fast-moving team where you'll own your work
• Sape the future of a product already making noise in AI + Security circles
• Opportunity for equity and early ownership
• Remote-friendly, flexible work culture.

Hiring process

1. Introduction Call
2. Technical Interview; backend and API experience — performance, schema design, and code style
3. Case Study: past project or live solve a backend
4. architecture or optimisation problem
5. Meet the Team

We’re ready to ship more — faster and smarter. If that sounds like your kind of challenge, let’s talk.