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

Software Dev Engineer Machine Learning
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
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Technical Lead - Core Applications - London or Madrid
Sonnedix —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- APIs
2h
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Sparta —Madrid, Madrid provincia
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- Teletrabajo
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1d
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Backend Engineer (AI Integration) 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
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Salesforce Tech Lead
GoodHabitz —Madrid, Madrid provincia
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- Sistemas ERP
- Vacaciones pagadas
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FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- APIs
Solicitud rápida
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Simon-Kucher & Partners —Madrid, Madrid provincia
- Español
- Azure
- Informática
Senior Product Engineer / AI Solution Architect
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
5d
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
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- Parking gratuito
- Seguro de vida
AI Native Product Engineer & Orchestrator
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
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- Inteligencia artificial
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Software Delivery Associate
Getnet Platforms —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Informática
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- Seguro dental
- Seguro de vida
Solicitud rápida
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
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Senior Manager Platform & Data
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
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Principal Domain Architect - Identity and Access Security
ABB Business Services Sp. z o.o. —Madrid, Madrid provincia
- Jornada completa
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Expert Manager, Software Engineering (Full Stack)
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida

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Software Dev Engineer Machine Learning

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Procesamiento de imagen
Informática
Visión artificial
Estructura de datos
NoSQL
Java
Arquitectura de microservicios
SQL
AWS
Habilidades de análisis
C++
Grado
Machine learning
Desarrollo de software
Escalabilidad
Cloud
Habilidades de comunicación
Python
Debugging
SDLC

Descripción completa del empleo

DESCRIPTION

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Please note these are not remote positions.

Key job responsibilities
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.

Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.

Participate in code reviews and contribute to technical documentation.

Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.

Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.

Write clean, maintainable code following best practices and design patterns.

Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.

Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

A day in the life
As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.
Your day might involve learning from and collaborating with ML scientists to implement new model architectures, optimizing training pipelines for better efficiency, analyzing model performance metrics, and participating in design reviews for new ML features.
You'll work closely with product managers to understand requirements and with senior engineers to ensure your solutions meet Amazon's high standards for reliability and scalability.

About the team
The Video Streaming Quality (VQ) team at Ring focuses on improving the end-to-end video and audio streaming experience across millions of smart home devices. Our work spans from optimizing quality & observability, encoding optimization and research of next gen codecs as well as advanced streaming architecture. Our tech stack includes ML/AI frameworks for real-time inference on device and cloud, video codecs (H.264, H.265, AV1), WebRTC streaming, FFmpeg-based transcoding pipelines, and AWS cloud infrastructure. New hires would have the opportunity to work on impactful AI/ML research and engineering projects within a growing, collaborative team that is part of Amazon's expanding Madrid Tech Hub.

BASIC QUALIFICATIONS

Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Experience working with or having knowledge of cloud computing and existing cloud technologies
Experience with programming languages such as Python, Java, C++
Education Requirements (must meet one):

- - Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- - Completed Bachelor's or Graduate degree in specified fields
- Expected graduation between October 2025 - September 2026, OR graduated within the last 24 months

Demonstrated experience one or more of the following: Data structures implementation, Basic algorithm development, Object-oriented design principles

PREFERRED QUALIFICATIONS

Previous technical internship(s) or demonstrated project experience
Experience with video embedded
Experience with on-device ML model optimization for embedded/resource-constrained hardware
Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
Strong problem-solving and analytical skills
Excellent written and verbal communication skills
Demonstrated ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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cloud observability engineer empleos en md

Software Dev Engineer Machine Learning

Technical Lead - Core Applications - London or Madrid

Senior Site Reliability Engineer (SRE)

AI Architect Engineer

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

Senior Rust Engineer - High Frequency Trading (HFT)

Salesforce Tech Lead

Principal Software Engineer Marketplace

Senior AI Engineer

Senior Product Engineer / AI Solution Architect

GCP Senior AI Engineer

Principal Developer/Solution Architect

Senior MLOps Engineer

AI Native Product Engineer & Orchestrator

MLOps Engineer - Agentic Platform

Software Delivery Associate

Director, Data Engineering (Capital Markets)

Senior Manager Platform & Data

Principal Domain Architect - Identity and Access Security

Expert Manager, Software Engineering (Full Stack)

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