Full Stack Software Engineer m/f/d
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.
In your first 6 months:
- 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
Must-haves
Deep experience with PostgreSQL and relational design
Strong Python developer with experience using SQLAlchemy
Skilled in designing efficient, scalable REST APIs
Knowledge of security best practices (JWT, SSO, OWASP top 10)
Frontend experience with Vue.js (or another SPA framework)
Nice-to-haves
Query performance ninja — can explain indexing, execution plans, JOIN optimisation, and caches
Solid CSS skills (flexbox, CSS variables, utility-first frameworks)
Comfort with frontend responsiveness, UX, and styling polish
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
Shape the future of a product already making noise in AI + security circles
Opportunity for equity and early ownership
Remote-first with flexibility on location
Hiring process
Intro Call
Technical Interview; backend and API experience — performance, schema design, and code style
Case Study: past project or live solve a backend architecture or optimization problem
Meet the Team
We’re ready to ship more — faster and smarter. If that sounds like your kind of challenge, let’s talk.
- Teams
- Tech
- Locations
- Paris
- Remote status
- Hybrid
- Employment type
- Full-time
About Qevlar AI
Fully autonomous automation for defensive cybersecurity teams (SOC). Explainable AI. Agnostic approach. No playbooks needed.
Full Stack Software Engineer m/f/d
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