20 publicaciones de empleo destacadas de stack developer en md (¡Están contratando!)

Platform Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Teletrabajo opcional
Solicitud rápida
Infrastructure Security Engineer
ElevenLabs —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Investigación
- Oficina
- AWS
Senior Java Developer
Initiumsoft —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Solicitud rápida
QA Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- Español
- Oracle
- Inglés
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Account Executive Enterprise Public Sector, Iberia
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Ventas
Senior Site Reliability Engineer
Cabify —Madrid, Madrid provincia
- Hasta 75.000 € al año
- De guardia
- Inglés
- SQL
- AWS
Solicitud rápida
Lead Quality Engineer
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Hotel
- JavaScript
Solicitud rápida
Power Platform Administrator - RDT Engineering Excellence & Experience
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Grado
- Liderazgo
Application Developer & Automation Engineer
Initiumsoft —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Microsoft Excel
- Azure
Solicitud rápida
Senior GTM Engineer (f/m/d)
Cremanski & Company GmbH —Madrid, Madrid provincia
- Jornada completa
- SQL
- JavaScript
- APIs
Solicitud rápida
Azure Cloud & Dev Architect
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Bases de datos
Senior AI Tech Architect, Solutions - Madrid | BCG Platinion
Boston Consulting Group —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Español
- Azure
DevOps Engineer
CH-Bluesign —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
Solicitud rápida
Arquitecto técnico (Java/IA) - Remoto
UST —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Inteligencia artificial
- Seguro médico privado
- Flexibilidad horaria
Solicitud rápida
DevOps Infrastructure Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- AWS
AI Deployment Strategist
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- JavaScript
Arquitecto Senior APIs
Kairos Digital Solutions —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Habilidades organizativas
- Seguro médico privado
Antibot Engineer
NielsenIQ —Madrid, Madrid provincia
- De 38.400 € a 54.700 € al año
- Jornada completa
- Trabajo híbrido
- JavaScript
- Scripting
- Python
Solicitud rápida
Senior DevOps Platform Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida

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Platform Architect

dLocal -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Teletrabajo opcional

Cualificaciones

CI/CD
Node.js
Informática
DevOps
Inglés
AWS
Docker
Grado
SDKs
Desarrollo de software
GitHub
APIs
Cloud
Jenkins
Python
SDLC

Descripción completa del empleo

Why Join dLocal?
dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

What’s the opportunity?

As a Platform Engineering Technical Referent at dLocal, you will be a senior technical reference for how we design, build and evolve our internal developer platform, our CI/CD automation, and our AI-native software delivery stack.

Your mission is to enable every engineering team at dLocal to take features from idea to production in a reliable, automated and increasingly AI-assisted way. Today our AI-SDLC platform automates a significant share of development tasks across 60+ engineering teams, and our delivery platform is being re-architected from the ground up on a modern cloud-native stack; you will help drive both forward, defining best practices and architectural patterns as complexity and business demands grow.

What will I be doing?

Platform Engineering: Design, build and maintain core components of our internal developer platform — APIs, CLIs, web surfaces and golden paths — enabling product teams (and AI agents) to build and ship services in a self-service, standardized way.
CI/CD Automation: Evolve our build and deployment platform on top of Kubernetes and GitOps tooling, replacing legacy pipelines with a declarative architecture that scales across environments and regions, reducing manual work and errors.
AI-Native SDLC: Contribute to the architecture of our AI engineering stack — coding agents, orchestration flows, automated code review and automated vulnerability patching — helping define what gets automated and how AI is embedded across the software development lifecycle.
Architecture & Standards: Champion best practices, standards, and author and review RFCs that impact how we build and deploy code company-wide. For example: platform contracts, observability, security, and performance best practices.
Mentorship & Leadership: Serve as technical referent for a multi-disciplinary platform team; coach engineers, run architecture reviews, and foster a culture of continuous improvement.
Cross-Functional Collaboration: Work with Security, Infrastructure and product engineering teams to align roadmaps, manage technical debt, and ensure platform capabilities meet business needs.
Continuous Improvement: Track industry trends in platform engineering and applied AI, identify automation opportunities, and pilot innovations that keep our platform ahead of scale and compliance demands.

What skills do I need?

Bachelor's degree in Computer Science, Software Engineering, or a related field.
5+ years of professional experience building backend, platform or DevOps systems, with strong programming proficiency in at least one of TypeScript/Node.js, Go or Python — and willingness to work across all three.
Hands-on experience with containerization & orchestration (Docker, Kubernetes) and modern CI/CD pipelines (GitHub Actions, Argo Workflows/ArgoCD, Jenkins or similar) on a major cloud provider (AWS preferred).
Experience building internal tooling, reusable SDKs/libraries, or platform components used by other engineering teams — a builder profile, not only an operator.
Practical, demonstrable adoption of AI-assisted development (Claude Code, Copilot, Cursor or similar) in your daily workflow, and genuine interest in building with LLMs and agents.
Automation mindset: able to spot manual, repetitive engineering work and turn it into platform capabilities.
Advanced English; able to articulate complex ideas to both technical and non-technical stakeholders.

What do we offer?
Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.
Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.

- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.

Work From Anywhere: Team members can work while traveling for up to 3 months every year.

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin and Youtube for more about dLocal!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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