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

DevOps Engineer (AWS/IA) - Remote
UST —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- Inglés
- AWS
- Abono gimnasio
Solicitud rápida
QA / Test Engineer
UST —Madrid, Madrid provincia
- Teletrabajo
- Oracle
- Sistemas ERP
- Inglés
- Abono gimnasio
Solicitud rápida
Applied AI Engineer
Google —Madrid, Madrid provincia
- De 90.000 € a 92.000 € al año
- Jornada completa
- Informática
- Grado
- Desarrollo de software
14d
Rust Engineer - Trading Systems
Keyrock —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- AWS
- Scripting
- Reclutamiento
IT Cloud & Automation Engineer - Remoto
eXperience IT Solutions —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Java
- AWS
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
4d
AI Engineer
Sabio Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Seguro de vida
- Plan de pensiones
Solicitud rápida
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Java
- Programa de recomendación
- Plan de pensiones
5d
Global / Regional / SRE Engineer
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
AI Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
- Español
- Inglés
- Máster
12d
DevOps Engineer CI/CD
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Scripting
- Inteligencia artificial
Solicitud rápida
Senior Software Engineer - Finance & Compliance
FeverUp —Madrid, Madrid provincia
- De 50.000 € a 75.000 € al año
- Teletrabajo
- Español
- Inglés
- SQL
Solicitud rápida
AI Platform Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Software Engineer
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Español
- DevOps
- Inglés
Platform Engineer
Sparta —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Java
- AWS
- Scripting
7d
Senior Rust Engineer - High Frequency Trading (HFT)
Keyrock —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AWS
- Scripting
- Reclutamiento
8d
DevOps Engineer (Madrid - Hybrid)
AXON-Networks —Madrid, Madrid provincia
- De guardia
- Azure
- Informática
- DevOps
- Parking gratuito
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
AI Staff Engineer
FeverUp —Madrid, Madrid provincia
- Inglés
- Máster
- SQL
Solicitud rápida
AI - Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
Cloud Engineer - Data Platforms
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps

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DevOps Engineer (AWS/IA) - Remote

UST -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Beneficios

Abono gimnasio
Plan de retribución flexible

Cualificaciones

CI/CD
DevOps
Inglés
AWS
Docker
Machine learning
Terraform
Escalabilidad
Agile
Cloud
S3
Inteligencia artificial
Habilidades de comunicación
Gestión de identidades y accesos

Descripción completa del empleo

Role description

We are still looking for the very Top Talent…and we would be delighted if you were to join our team!

More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with more than 35,000 employees worldwide and presence in over 35 countries. We are leaders in digital technology services, delivering large-scale technological solutions for some of the world's leading organizations.

What we look for?

We are looking for a Senior DevOps Engineer AWS + AI to join our team.

This role is focused on the design, automation, deployment, and operation of cloud infrastructures on AWS, with a strong emphasis on DevOps, DevSecOps, Infrastructure as Code, and Artificial Intelligence platforms within enterprise environments.

Key Responsibilities:

Design, implement, and maintain CI/CD pipelines to automate integration, validation, and continuous deployment processes.
Manage and evolve AWS services including EKS, ECS, EC2, Lambda, IAM, VPC, Route 53, S3, RDS, CloudWatch, and networking components.
Design, deploy, and operate cloud infrastructure using Infrastructure as Code (IaC) with Terraform.
Apply security standards and DevSecOps best practices throughout the entire cloud platform lifecycle.
Deploy, integrate, and operate AI-based solutions and components on AWS, ensuring scalability, availability, performance, and security.
Support AI and Machine Learning services such as Amazon Bedrock, SageMaker, Amazon Q, and container-based inference platforms on ECS/EKS.
Automate operational processes, environment provisioning, and deployments to improve efficiency and platform reliability.
Collaborate closely with Development, Architecture, Data, and AI teams in Agile environments to deliver secure and efficient cloud solutions.
Monitor, troubleshoot, and optimize cloud workloads and infrastructure performance.

Mandatory Requirements:

Proven experience as a Senior DevOps Engineer working with AWS cloud environments.
Strong knowledge of AWS services including EKS, ECS, EC2, Lambda, IAM, VPC, Route 53, S3, RDS, and CloudWatch.
Hands-on experience with Terraform and Infrastructure as Code (IaC) methodologies.
Experience designing and maintaining CI/CD pipelines using industry-standard DevOps tools.
Strong understanding of DevSecOps principles, cloud security, identity and access management, and governance practices.
Experience deploying and operating AI/ML platforms and services in AWS environments.
Knowledge of containerization technologies such as Docker and Kubernetes.
Ability to work collaboratively within Agile teams.
High level of English communication skills.

Nice to Have:

Experience with Amazon Bedrock, SageMaker, Amazon Q, or similar Generative AI platforms.
Knowledge of AI Governance frameworks and responsible AI practices.
AWS certifications (Solutions Architect, DevOps Engineer Professional, Security Specialty, Machine Learning Specialty, etc.).
Experience with observability and monitoring solutions.
Familiarity with GitOps methodologies and platform engineering concepts.
Experience working in large-scale enterprise environments.

What can we offer?

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, Internet Connectivity, Life and Accident Insurances).
Retribución Flexible Program (Meals, Kindergarten, Transport, Online English Lessons, Health Care Plan, and more).
Free access to several training platforms.
Professional stability and career plans.
UST also compensates referrals, from which you could benefit when referring professionals.
The option to choose between 12 or 14 salary payments throughout the year.
Real Work-Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime, etc.).
UST Club Platform discounts and gym access discounts.

If you would like to know more, do not hesitate to apply and we'll get in touch to provide further details. UST is waiting for you!

At UST, we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality. We have a special commitment to Disability & Inclusion and welcome applications from candidates with a disability certificate.

Skills

AI Governance, AWS, AWS IAM, AWS Lambda, Amazon CloudWatch, Amazon Bedrock, Amazon Route 53, Amazon RDS, Amazon EKS, Amazon ECS, Amazon EC2

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Solicitud rápida

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