6 publicaciones de empleo destacadas de cloud observability engineer en md (¡Están contratando!)

Senior Product Software Engineer
Wolters Kluwer —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
Data Engineering Lead
Chubb —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- SQL
- Plan de pensiones
Software Delivery Associate
Getnet Platforms —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Informática
- DevOps
- Seguro dental
- Seguro de vida
Solicitud rápida
Platform Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
Solicitud rápida
8d
Platform Engineer
Backbase —Madrid, Madrid provincia
- De guardia
- Inglés
- Desarrollo de software
- Python
Solicitud rápida
Software Engineer
Getnet Platforms —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- Java
- Seguro dental
- Seguro de vida
Solicitud rápida
11h

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Senior Product Software Engineer

Wolters Kluwer -
Salamanca-Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
ASP.NET
Azure
DevOps
.NET Core
C#
Git
.NET
Arquitectura de microservicios
SQL
Diseño de base de datos
Programación orientada a objetos
Docker
Redis
Usabilidad
Angular
Scrum
Desarrollo de software
GitHub
APIs
Escalabilidad
Cloud
Pruebas de integración

Descripción completa del empleo

Join us at Wolters Kluwer and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.

We are currently looking for a Senior Product Software Engineer to join our team.

About the role:

As a Senior Software Engineer, you will work as a full-time Full Stack Developer within a hybrid work model, contributing to the design, development, and evolution of scalable software solutions.

This role requires strong hands-on technical expertise, the ability to work independently with minimal guidance, and accountability for delivering high-quality solutions within a modern, cloud-based, microservices-oriented architecture.

At this level, engineers are expected to solve complex technical problems, apply best practices, and act as a technical reference for peers while collaborating closely with cross-functional teams.

Key Responsibilities:

End-to-End Software Development
Design, develop, test, and maintain full stack applications using modern backend and frontend technologies, ensuring high quality, performance, and maintainability.
Backend Development & Architecture
Build and evolve RESTful APIs and microservices based on .NET (.NET Framework, .NET Core, ASP.NET Web API, C#), applying OOP, SOLID principles, Domain-Driven Design (DDD), and Clean Code practices within decoupled architectures.
Frontend Development
Develop and maintain rich web applications using Angular, ensuring usability, performance, and alignment with backend services.
Asynchronous Communication & Messaging
Design and implement asynchronous workflows using RabbitMQ, MassTransit, and Azure Service Bus, ensuring reliability and scalability.
Data Management & Caching
Work with SQL-based relational databases and Redis to ensure efficient data storage, access, and caching strategies.
Testing & Quality Assurance
Implement and maintain unit and integration tests, contributing to robust testing frameworks and ensuring system reliability.
CI/CD & Automation
Design, maintain, and improve CI/CD pipelines using Azure DevOps, YAML pipelines, Git, supporting automated builds, testing, and deployments.
Cloud & Containerization
Deploy and operate applications using Docker and Kubernetes, contributing to scalable and resilient cloud-native solutions.
Technical Problem Solving
Analyze complex technical issues, evaluate multiple solutions, and apply sound judgment to resolve problems effectively.
Monitoring & Traceability
Experience with application performance monitoring (APM), observability and tracing tools like Datadog or Grafana.
Collaboration & Communication
Work closely with product, QA, and other engineering teams; explain complex technical topics clearly and contribute to alignment and consensus.
Knowledge Sharing & Team Impact
Act as a technical resource for team members, sharing best practices and contributing to continuous improvement initiatives.

Required Skills & Experience:

Core Technical Skills:

Strong experience as a Full Stack Software Engineer
Advanced knowledge of:
- C#, .NET Framework, .NET Core, ASP.NET Web API
- Angular
- RESTful APIs and microservices architectures
- SQL and relational database design
- Redis
- Asynchronous messaging systems (RabbitMQ, MassTransit, Azure Service Bus)
Solid understanding of:
- OOP, SOLID principles
- Domain-Driven Design (DDD)
- Clean Code practices

Engineering Practices:

Unit and integration testing frameworks
Git, GitHub, and collaborative source code management
CI/CD with Azure DevOps and YAML pipelines
Containerization with Docker and orchestration with Kubernetes
Hands-on experience with monitoring and traceability ecosystems (e.g., Datadog, Grafana).
Agile methodologies (Scrum / Kanban)

Competencies:

Analytical Thinking – Ability to break down complex problems and design effective solutions.
Functional & Operational Expertise – Deep technical knowledge applied pragmatically to real-world systems.
Accountability – Ownership of deliverables and ongoing technical responsibilities.
Inclusive Collaboration – Works effectively with diverse roles and teams.
Drive to Perform – Focus on quality, reliability, and continuous improvement.

If you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.

#LI-Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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