19 publicaciones de empleo destacadas de backend developer en arganda, madrid provincia (¡Están contratando!)

Product Security Engineer
StackAI —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
Developer Dynamics
Capgemini —Madrid, Madrid provincia
- Inglés
- JavaScript
- Agile
- Formación continua
- Seguro médico privado
Fullstack
Publicis Groupe Holdings B.V —Madrid, Madrid provincia
- CRM software
- Informática
- Inglés
Solicitud rápida
1d
Java technical Lead
Artelys —Madrid, Madrid provincia
- Jornada completa
- Oficina
- Java
- C++
Solicitud rápida
Senior Software Engineer
SkySpecs —Madrid, Madrid provincia
- Jornada completa
- AWS
- JavaScript
- APIs
Solicitud rápida
6d
Cloud Developer Specialist
Publicis Groupe Holdings B.V —Madrid, Madrid provincia
- Azure
- Inglés
- Máster
Solicitud rápida
1d
Senior Full Stack Engineer
mediasmart —Madrid, Madrid provincia
- Turno de 12 horas
- Español
- Azure
- DevOps
Solicitud rápida
Data Engineer (AWS)
Publicis Groupe Holdings B.V —Madrid, Madrid provincia
- Informática
- Inglés
- Java
Solicitud rápida
1d
Front End Lead Engineer – Prime (Hybrid)
eDreams ODIGEO —Madrid, Madrid provincia
- Oficina
- JavaScript
- Desarrollo de software
AI Developer
Babel —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Bases de datos
- Seguro médico privado
- Flexibilidad horaria
AI Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
Quality Assurance Engineer - Automation (m/f/x)
osapiens —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
Senior QA AI Engineer
knowmad mood —Madrid, Madrid provincia
- Teletrabajo
- Azure
- DevOps
- Máster
Senior API Engineer
Ebury —Madrid, Madrid provincia
- De guardia
- Informática
- Inglés
- Oficina
Solicitud rápida
Staff Software Engineer — DevPlatform
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Hotel
Solicitud rápida
11d
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Investigación
- Java
- AWS
- Seguro oftalmológico
Solicitud rápida
AI Staff Engineer
FeverUp —Madrid, Madrid provincia
- Inglés
- Máster
- SQL
Solicitud rápida
13d
API Platform Developer
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
Senior Specialist Digitalization Digital Plant (m/f/d) 1
BASF Digital Solutions S.L. —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
4d

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Product Security Engineer

StackAI
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Azure
Node.js
Derecho
Cifrado
Máster
AWS
REST
Cloud
SaaS
Python
SDLC

Descripción completa del empleo

About the Company

StackAI (by Asana) is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. An Asana Company, we're building the foundational platform for the AI-driven future of work

About the role

At StackAI, security is how we earn the trust of the enterprises building AI assistants on our platform. We're hiring a hands-on (Senior) Product Security Engineer to design, build, and harden the secure architecture at the core of the product, working as a technical partner to our Core engineering lead.

This is a hands-on engineering role. You'll write production code and own the security-critical systems the whole platform depends on: encryption and key management, customer data protection, and how security is built into the way every team ships.

If you want deep ownership of these systems and the chance to harden and scale them as the platform grows, we'd love to meet you.

What you'll do

Own encryption and signing. Take ownership of our KMS, key management, BYOK, envelope encryption, and signing pipeline across both cloud and on-prem deployments—operating, hardening, and evolving them as the platform scales.
Protect the most sensitive customer data. Extend our PHI/PII scrubbing and strengthen the data-protection foundations that regulated enterprises already rely on.
Secure the storage layer. Own encryption at rest and tenant isolation.
Keep security the default in how we ship. Maintain and expand the secure-by-default templates and reference implementations embedded in our SDLC—the ones engineers actually want to adopt.
Threat-model the platform. Lead threat modeling on the seams between systems (the execution engine, connector trust boundaries, and multi-tenant isolation), using modern, AI-assisted threat-modeling tooling.
Raise the bar on tooling. Push our scanning further on coverage, signal, and CI enforcement, so critical findings never reach production.
Be the technical point of contact for security standards. Translate audit, compliance, and incident-response requirements into real implementation in our codebase.

What we're looking for

4+ years building security-critical systems in production, with significant time spent implementing, not only reviewing or assessing.
Practical depth in cryptography and key management: encryption, KMS, secrets handling, and signing in real systems.
Secure architecture judgment: you can design and reason about secure systems and hold your own as a technical peer with senior engineers.
Multi-tenant SaaS isolation experience, including the data-isolation guarantees regulated customers require.
Strong secure-coding skills in our stack: Python on the backend, TypeScript/Node.js on the product surfaces.
Comfortable wiring security checks and gates into CI/CD so security is enforced automatically in the pipeline.

Security engineering is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box.
Bonus points

Cloud and API security fundamentals on GCP, Azure, or AWS.
Securing on-prem, self-hosted, or air-gapped deployments.
Experience in regulated domains (healthcare/PHI, finance, etc.).
Familiarity with AI/LLM platform security: agent execution, connector trust boundaries, prompt and tool-call risk.
Startup or growth-stage experience.

Compensation Range: $157K - $220K

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