🧑 💻 Product Engineer (Backend-leaning) – AI & Security
📍 Paris (Morning Laffitte) | 🏠 2 remote days/week | 💼 Full-time
About Symbiotic Security
Symbiotic Security is a cybersecurity startup helping developers write secure code through an AI-powered assistant integrated into their IDE and CI/CD pipelines.
Our product does two things extremely well:
- Detect & fix vulnerabilities
introduced by AI-generated code (GitHub Copilot, etc.)
- Train developers in context
, as they code, so security becomes part of their daily flow
Founded in April 2024, we’re currently
16 in Paris
and 5
in New York
.
Our product team is small and collaborative: fullstack engineers, AI engineers, security experts and designers working closely together.
The Role – Product Engineer, not just “Fullstack Dev”
We’re looking for a
Product Engineer (70% backend / 30% frontend)
who cares as much about
what
we build as
how
we build it.
You won’t just “take tickets”, you’ll be expected to: challenge product ideas, refine problem statements, and own features end-to-end, from design to production.
You’ll work closely with:
- Edouard
(CTO)
- Abir & Minh Thang
(Engineer Manager/ Tech Lead)
- in a
3–4 dev team
where every line of code has visible impact.
- Our
Product Manager
and
Product designer
What you’ll work on
You’ll spend most of your time on
backend-heavy product work
, with enough frontend to ship complete user experiences:
- 🔐
Vulnerability Remediation
- Design and evolve our engine that detects and fixes security issues in real-world codebases.
- 🤖
AI Security (AI-generated code)
- Keep up with the fast-moving AI ecosystem and build protections against vulnerabilities introduced by AI coding tools.
- 🧩
Platform Expansion
- Support more IDEs, languages, and platforms (e.g. GitLab), and keep the architecture scalable as we grow.
There’s a
lot of new product work
ahead, but also
significant refactoring
as we outgrow some of our initial designs. If you like cleaning up, simplifying architectures and preparing for scale, you’ll feel at home.
How we work
We’re not dogmatic about process. Our methodology is a
mix of Scrum and Shape Up
:
- 2-week cycles,
dailies
and
retros
- Short briefs & kick-offs
- High availability of the EM/CTO for decisions
- Strong expectation of
ownership
from engineers
We value:
- Curiosity
(especially around AI and new tech)
- Product thinking
(challenge the “what”, not just execute the “how”)
- Clear communication
on blockers or delays
- Comfort with
ambiguity
and fluid methodology (no heavy ceremonies or rigid Jira religion)
What we’re looking for
We don’t expect you to tick every box, but you should recognize yourself in most of these:
Core Skills
- ✅ Strong experience in
Python & Django
(or similar web framework)
- ✅ Comfortable with
TypeScript / React
for product UI work
- ✅ Solid SQL knowledge (
PostgreSQL
is a plus)
- ✅ You care about
clean architecture, testing, performance & reliability
Product Engineer Mindset
- You think in terms of
problems, not tickets
- You’re happy to do
70% backend / 30% frontend
if it means owning a feature end-to-end
- You enjoy
talking through product trade-offs
with design and engineering
- You’re not afraid of
refactors
when needed
Bonus Points
- Experience with
security, developer tools, or AI
- Familiarity with
DDD, domain modelling, hexagonal architecture
- Interest in
AI-assisted development
(Copilot, ChatGPT, Claude…)
- Experience with
cloud & infra
: AWS, Docker, Terraform
Our Tech Stack
- Backend
: Python 3.12+ / Django (REST API, monolith)
- Frontend
: TypeScript / React (SPA)
- Database
: PostgreSQL
- Infra
: AWS / Docker / Terraform
-
: Hexagonal, DDD in progress
Package
- 📈
BSPCE
(equity plan)
- 🏥 100% health insurance
- 🍽 Swile meal card
- 💻 €500 equipment budget
- 🕒 RTT + paid vacation
- 🏠 2 remote days/week
- 🏢 Office: Morning Laffitte (Paris 9ᵉ)
- 👭 Referral bonus:
€2,000
Hiring Process (max ~2 weeks)
1️⃣
Intro call
– with Blanche (Talent Acquisition)
2️⃣
Tech interview
– with Abir (Engineering Manager)
3️⃣
On-site technical session
– with Minh Thang (pairing + design discussion)
4️⃣
Culture fit & product conversation
– with Edouard (CTO) + team lunch
