20 publicaciones de empleo destacadas de cloud observability engineer en madrid, md (¡Están contratando!)

DevOps Engineer CI/CD
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Scripting
- Inteligencia artificial
Solicitud rápida
DevOps Engineer (AWS/IA) - Remote
UST —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- Inglés
- AWS
- Abono gimnasio
Solicitud rápida
13d
Senior/Lead Machine Learning Engineer
IFS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Fullstack Engineer
Destinus —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Java
- AWS
Solicitud rápida
Principal Backend Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
Principal Engineer
SGS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AWS
- Python
Solicitud rápida
Senior Backend Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
- Español
- Azure
- Java
DevOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- Máster
- Parking gratuito
- Seguro de vida
Staff Software Engineer — DevPlatform (Java, AWS)
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Hotel
Solicitud rápida
Ingeniero/a de Soporte de Pipelines - CI/CD, hibrido
PANEL Sistemas Informáticos —Madrid, Madrid provincia
- DevOps
- Inglés
- AWS
Cloud Architect (AWS) – ODS
Santander Bank —Madrid, Madrid provincia
- Teletrabajo
- Español
- DevOps
- Inglés
Technical Lead - Observability - RDT Digital Operations and Reliability
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
1d
Senior Platform Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Head of Infrastructure & Security
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- AWS
Solicitud rápida
Lead Workday Integration & AI Engineer
DDN —Madrid, Madrid provincia
- De 60.000 € a 80.000 € al año
- Horas extra
- Trabajo híbrido
- APIs
- Inteligencia artificial
Solicitud rápida
12d
Workload Orchestration Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Grado
- Linux
Software Engineer | Benefits Squad
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Español
- DevOps
- Inglés
Cybersecurity Engineer for Edge Network Security
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Grado
Senior/Staff Product Engineer
FeverUp —Madrid, Madrid provincia
- Teletrabajo
- Español
- Inglés
- Máster
Solicitud rápida
Cloud Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- JavaScript
Solicitud rápida

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DevOps Engineer CI/CD

dLocal -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Despliegue de software
DevOps
Scripting
Escalabilidad
Cloud
Inteligencia artificial

Descripción completa del empleo

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the opportunity?

We are looking for a DevOps Engineer, Technical Referent to join our team! You will be the technical reference of a talented team that works on mission-critical applications for big customers like Netflix, Amazon, Nike, Facebook, Google & more. Beyond hands-on engineering, you will set the technical direction of our platform, mentor other engineers, and lead our shift towards an AI-first way of building, shipping, and operating software

What will I be doing?

Act as the team's technical referent: drive architectural decisions, set engineering standards, and mentor engineers to raise the technical bar across the organization.
Champion an AI-first approach to platform engineering: embed AI agents and assistants across the software delivery lifecycle, and build the skills, plugins, and MCP integrations that make them first-class citizens of our workflows.
Optimize developer productivity by designing and implementing self-service platforms and automation frameworks that streamline software delivery.
Improve software deployment processes by enhancing CI/CD pipelines and ensuring scalable, reliable, and secure releases.
Enhance the developer experience through workflow automation, internal developer platforms, and self-service tooling.
Automate infrastructure provisioning and configuration management, promoting a declarative and automated approach to operations.
Architect scalable and resilient cloud-based solutions, ensuring best practices in security, observability, and cost optimization.
Develop and maintain internal tooling and automation — increasingly AI-assisted and agent-driven — to improve efficiency and streamline operations.
Monitor, troubleshoot, and optimize platform performance using observability and monitoring solutions.
Evaluate emerging AI models, agents, and tools, and define guidelines for their secure, responsible, and effective adoption across engineering teams.
Advocate for modern software delivery practices, including Infrastructure as Code, GitOps, cloud-native architectures, and AI-augmented engineering

What skills do I need?

Proven experience acting as a technical referent or lead: driving technical decisions, mentoring engineers, and influencing beyond your own team.
AI-first mindset: you use AI agents and coding assistants as a natural part of your daily workflow, and you understand the building blocks of the ecosystem — models, agent skills, plugins, and protocols such as MCP (Model Context Protocol).
Hands-on experience integrating AI into engineering workflows, such as agentic automation, custom MCP servers, or AI-assisted CI/CD.
Experience in designing and managing CI/CD pipelines with automation and deployment tools.
Proficiency in Infrastructure as Code (IaC) and configuration management frameworks.
Strong understanding of container orchestration and cloud-native architectures for scalable application management.
Experience building and managing internal developer platforms and self-service infrastructure solutions.
Expertise in cloud environments and best practices for security, scalability, and cost efficiency.
Scripting and automation skills using programming languages for workflow optimization.
Proficiency in monitoring, logging, and observability solutions to ensure system reliability.
Knowledge of modern software delivery methodologies, including GitOps, automated testing, and continuous deployment.
Security-first mindset, ensuring compliance and best practices across cloud, infrastructure, and AI tooling.

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: we have flexible schedules and we are driven by performance.

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.

Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!

dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

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.

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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cloud observability engineer empleos en madrid, md

DevOps Engineer CI/CD

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Fullstack Engineer

Principal Backend Engineer (Hybrid)

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Staff Software Engineer — DevPlatform (Java, AWS)

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Cloud Architect (AWS) – ODS

Technical Lead - Observability - RDT Digital Operations and Reliability

Senior Platform Engineer (f/m/d)

Head of Infrastructure & Security

Lead Workday Integration & AI Engineer

Workload Orchestration Engineer

Software Engineer | Benefits Squad

Cybersecurity Engineer for Edge Network Security

Senior/Staff Product Engineer

Cloud Architect

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