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Product engineer

Il y a 45 minutes

Paris, Île-de-France Symbiotic Security Temps plein

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
  • Architecture
    : Hexagonal, DDD in progress
  • Testing
    : ~94% backend coverage
  • Tooling
    : Sentry, internal analytics, CLI tools, AI agents

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)


Intro call
– with Blanche (Talent Acquisition)


Tech interview
– with Abir (Engineering Manager)


On-site technical session
– with Minh Thang (pairing + design discussion)


Culture fit & product conversation
– with Edouard (CTO) + team lunch