16 publicaciones de empleo destacadas de stack / backend en madrid, md (¡Están contratando!)

Product Security Engineer
StackAI —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
Software Development Manager
Ormco —Madrid, Madrid provincia
- Inglés
- Java
- AWS
- Seguro dental
- Vacaciones pagadas
5d
Staff Software Engineer — DevPlatform
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Hotel
Solicitud rápida
11d
Senior AI Product Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- AWS
- Grado
Solicitud rápida
Forward Deployed Engineer
InteractiveAI —Madrid, Madrid provincia
- Jornada completa
- Azure
- Salesforce
- Máster
Solicitud rápida
CTO STARTUP SaaS AI native - Ingeniería y Construccion.
Crearte Consulting —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- JavaScript
Solicitud rápida
Staff AI Engineer
Nextlane —Madrid, Madrid provincia
- Disponibilidad fin de semana
- Trabajo híbrido
- Azure
- DevOps
- Inglés
DevOps IoT Engineer – M2M
ESML SD Iberia Holding S A U —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Azure
- Oracle
- DevOps
Solicitud rápida
11d
Senior / Expert AI Native Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- APIs
5d
Senior EmbeddedSoftware Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- C++
Solicitud rápida
DevOps Engineer, hibrido
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Bases de datos
Senior DevOps Engineer
InteractiveAI —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Máster
Solicitud rápida
Apigee Engineer
Initiumsoft —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- DevOps
- Inglés
Solicitud rápida
6d
Product Manager, Property Management
PropHero —Madrid, Madrid provincia
- Español
- Inglés
- APIs
Solicitud rápida
Lead Instructor Full Stack (part time)
The Bridge —Madrid, Madrid provincia
- Media jornada
- DevOps
- JavaScript
- Desarrollo de software
Solicitud rápida
Lead Instructor Full Stack (full time)
The Bridge —Madrid, Madrid provincia
- DevOps
- JavaScript
- Desarrollo de software
Solicitud rápida

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Actualmente buscamos un desarrollador full stack . Retribución flexible : Tarjeta restaurante, cheque guardería, seguro médico, formación y otros beneficios con…
Senior Frontend Engineer
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You’ll lead the implementation and governance of our Design System and Component Library, ensuring modularity, consistency, and reusability across teams.
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Quiero recibir la alerta de empleo más reciente de stack / backend en madrid, md

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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

Solicitar ahora

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stack / backend empleos en madrid, md

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Forward Deployed Engineer

CTO STARTUP SaaS AI native - Ingeniería y Construccion.

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