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

Data Platform Engineer (Remote)
Paymentology —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- SQL
- AWS
- Python
Backend Engineer (AI Integration) 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
Staff Software Engineer — DevPlatform (Java, AWS)
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Hotel
Solicitud rápida
Backend Software Engineer – Microservices (Java)
GMV —Tres Cantos, Madrid provincia
- Trabajo híbrido
- Java
- APIs
- Seguro dental
Google Data and AI Specialist
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Project Manager
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Azure
- PMP
Principal Software Engineer Marketplace
FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- APIs
Solicitud rápida
Platform Engineer
Backbase —Madrid, Madrid provincia
- De guardia
- Inglés
- Desarrollo de software
- Python
Solicitud rápida
FULLREMOTE - Senior Software Engineer
CAPITOLE CONSULTING —Comunidad de Madrid
- Jornada completa
- DevOps
- Inglés
- AWS
1d
Software Engineer
Getnet Platforms —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- Java
- Seguro dental
- Seguro de vida
Solicitud rápida
9h
Lead Engineer– Data Platform
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Java
1d
Team Lead IT Operations (m/f/d)
Infront Financial Technology GmbH —Madrid, Madrid provincia
- Jornada completa
- Oracle
- DevOps
- Inglés
1d

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Data Platform Engineer (Remote)

Paymentology -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Spark
Disaster Recovery
NoSQL
Bash
SQL
AWS
Respuesta a incidencias
Terraform
Escalabilidad
Cloud
S3
Apache
Redshift
Requisitos comerciales
Python
Shell Scripting

Descripción completa del empleo

Unstoppable starts with people. The future of payments is being built today, and at Paymentology, we are looking for people who want to help shape it. We power card issuing for leading banks, fintechs and digital brands across the globe, and as we continue to grow, we are looking for curious, ambitious people who thrive on solving complex challenges, embrace innovation and want to make a tangible impact at global scale.

We're looking for a Data Platform Engineer to join our Data Engineering team and help build a modern data platform from the ground up. This is a greenfield opportunity focused on designing and implementing scalable data infrastructure, engineering robust data pipelines, and establishing observability, playing a critical role in enabling reliable, high-performance, and secure data systems.

You'll work closely with data engineers, analysts, and senior technical stakeholders to design, implement, and operate the foundations of our data stack — from cloud infrastructure and data pipelines to storage and processing layers. This role is ideal for an experienced engineer with strong data platform and cloud infrastructure expertise who thrives in a high-impact, global fintech environment.

What you get to do:

Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform), with a strong focus on scalability, security, reliability, and cost-efficiency.
Build and maintain CI/CD pipelines that automate data engineering workflows, data pipeline deployments, and infrastructure provisioning, ensuring faster deployment cycles and minimizing errors.
Implement and operate observability solutions — integrating monitoring, logging, and metrics to ensure platform reliability, performance visibility, and fast incident response.
Collaborate closely with data engineers and cross-functional teams to design and implement data pipelines, data models, and platform capabilities that meet performance and business requirements.
Apply best practices for high availability, disaster recovery, security and cost optimization, while documenting infrastructure patterns, data architecture decisions, and operational procedures.

What it takes to succeed:

3-5 years of hands-on experience in Data Engineering, Platform Engineering, or DataOps roles.
Proven track record in designing and implementing reliable, scalable data platforms and data infrastructure — not just supporting, but owning end-to-end delivery.
Hands-on experience with modern data engineering tools such as dbt, Apache Airflow or Apache Kafka is required.
Hands-on proficiency with Infrastructure as Code (Terraform) and cloud architecture patterns on AWS or GCP.
Deep experience with AWS or GCP, including data storage and processing services (e.g., BigQuery, Snowflake, S3, Redshift).
Practical experience with Kubernetes and containerised workloads for orchestrating data platform services.
Experience implementing observability stacks for data platform monitoring, logging, metrics, and alerting.
Strong programming skills in Python, SQL, and Bash to build data pipelines, automate workflows, and perform data processing.
Excellent problem-solving skills and the ability to work effectively in a collaborative, fully remote environment.
A strong inclination to deepen expertise in data architecture, data modelling, and MLOps capabilities.
Experience with real-time data processing (e.g., Kafka, Spark Streaming) and both SQL and NoSQL data storage solutions is an advantage.

What you can look forward to:

At Paymentology, it’s not just about building great payment technology, it’s about building a company where people feel they belong and their work matters. You’ll be part of a diverse, global team that’s genuinely committed to making a positive impact through what we do. Whether you’re working across time zones or getting involved in initiatives that support local communities, you’ll find real purpose in your work - and the freedom to grow in a supportive, forward-thinking environment.

At Paymentology, we believe that making a difference starts with the people behind the work. You will be part of a diverse, global team of Paymentologists who are united by a shared mission to advance the world through payments.
This is an opportunity to contribute to meaningful work, collaborate across markets and functions, and help shape the future of a business with global reach and real impact.

We are an equal opportunity employer committed to fostering a diverse and inclusive workplace where everyone can thrive. We welcome applications from people of all backgrounds and do not discriminate on any unlawful ground, including race, colour, ethnicity, sex, gender, pregnancy, marital status, family responsibility, age, disability, sexual orientation, religion, belief, language or HIV status.

Paymentology will never request any form of payment from applicants at any stage of our recruitment process, including for applications, interviews, training or job placements. If anyone asks you for money while claiming to act on behalf of Paymentology, please treat this as fraudulent and do not make any payment. All legitimate Paymentology vacancies are advertised via our official careers page , and our recruitment emails are sent only from official Paymentology domains.

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cloud observability engineer empleos en md

Data Platform Engineer (Remote)

Backend Engineer (AI Integration) 100% (f/m/d)

Staff Software Engineer — DevPlatform (Java, AWS)

Backend Software Engineer – Microservices (Java)

Google Data and AI Specialist

GCP Senior AI Engineer

Project Manager

Principal Software Engineer Marketplace

Platform Engineer

FULLREMOTE - Senior Software Engineer

Software Engineer

Lead Engineer– Data Platform

Team Lead IT Operations (m/f/d)

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