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Job Title: Senior Cloud Engineer – Generative AI Skills: Python, AWS Fundamentals, Terraform & CI/CD Experience: 5yrs Location: Madrid, Spain Fluent in Spanish and English We are seeking a highly skilled and experienced Senior Cloud Engineer to lead the development of infrastructure and application components for Generative AI (GenAI) workloads on AWS . This role is pivotal in designing, building, and maintaining scalable, secure, and cost-effective systems that support production-grade GenAI solutions. You will collaborate closely with data scientists and MLOps engineers to operationalize GenAI models using modern DevOps practices and Infrastructure-as-Code principles. Key Responsibilities • Design, implement, and maintain AWS infrastructure for scalable GenAI workloads using services such as Lambda, API Gateway, DynamoDB, Bedrock, S3, SageMaker, and IAM., • Develop reusable Python-based GenAI components , ensuring seamless integration with AWS services, efficient model invocation, logging, monitoring, and automated unit testing., • Manage Terraform codebases to provision and orchestrate cloud infrastructure, with a focus on scalability, security, and cost optimization., • Build and maintain CI/CD pipelines using GitHub Actions to automate validation, testing, deployment, and post-deployment checks for GenAI services., • Implement robust IAM policies and access controls to ensure secure execution of GenAI workloads in compliance with enterprise standards., • Collaborate cross-functionally with data scientists, backend engineers, and DevOps teams to deliver integrated, high-performing GenAI services., • Monitor and optimize GenAI workloads for performance, reliability, and cost using AWS CloudWatch, X-Ray, and custom logging solutions., • Contribute to internal knowledge sharing , documentation of best practices, and development of reusable architecture patterns for GenAI use cases. Required Skills & Experience • 5+ years of professional experience in software engineering, with a strong focus on cloud-native development., • Expert-level proficiency in AWS services , especially Lambda, API Gateway, Bedrock, DynamoDB, S3, SageMaker, and IAM, with direct experience supporting GenAI workloads., • Advanced Python programming skills , including building and deploying reusable GenAI components and integrating with AWS services., • Strong expertise in Terraform , with a proven track record of managing scalable and secure AWS infrastructure., • Hands-on experience with CI/CD pipelines , particularly using GitHub Actions for automated testing, deployment, and monitoring., • Excellent communication skills in English, both written and verbal. Preferred Qualities • Strong ownership and collaboration mindset., • Clear and concise documentation skills., • Bias for simplicity and results-oriented problem solving. Education • Bachelor’s degree (or higher) in Computer Science or a related field.

About us For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’ - committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. Overview As a Cloud Platform Support Engineer at Xebia, you will join our dynamic Engineering team to support our clients' data and compute infrastructure on GCP. This role is perfect for a technical expert who combines Google Cloud knowledge with hands-on troubleshooting experience, thriving in environments where adaptability and technical excellence are essential. Responsibilities • Troubleshoot and resolve complex issues related to clients' Data Platform components, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, and GCS., • Support compute infrastructure needs for client users, including containerization, environment setup, and dependency management., • Diagnose and resolve issues., • Configure and optimize batch processing environments tailored to specific client workload demands., • Automate environment setup and management through Infrastructure as Code (IaC)., • Assist client users with integration issues between platforms and enterprise tools like Microsoft Identity Manager and Colibra., • Collaborate with cross-functional teams to ensure successful issue resolution for our clients. Qualifications Basics: • 3+ years of support experience with GCP with emphasis on troubleshooting., • Strong understanding of Google services, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, GCS, monitoring, logging, VPC concepts, and networking., • Proficiency in interpreting code written in Python, R, and Java., • Experience with containerization technologies (Docker)., • Hands-on experience with automation tools like Git, GitHub Actions, and PySpark., • Familiarity with GCP Console and command-line tools., • Strong analytical and problem-solving abilities., • Excellent communication skills and ability to respond effectively to client users' queries., • Experience taking ownership of complex technical issues from identification to resolution., • Associate Cloud Engineer Certification., • Professional Data Engineer Certification., • Experience with automation of environment setup through Infrastructure as Code (IaC)., • Strong collaboration skills and ability to work with minimal supervision at client sites.

About us For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the role: We’re looking for a Senior Scala Engineer with strong backend engineering and performance optimization expertise to help drive improvements across our enterprise applications and underlying shared services. Key Responsibilities: • Build and enhance backend services using Scala, • Lead performance optimization efforts across large-scale applications and services, • Proactively research and troubleshoot technical issues that could impact end user experience, • Work with cross-functional teams to identify bottlenecks and implement solutions, • Proven Scala/backend engineering experience, • Strong background in system performance tuning and scalability, • Ability to anticipate and solve complex technical issues, • Curiosity to dig deep into problems and explore solutions, • Strong collaboration and communication skills

Job Description Your role As a Confluent Solution Architect, you will lead the design and architecture of enterprise-grade streaming solutions using Apache Kafka and the Confluent Platform. You will work closely with clients to understand business requirements, define integration strategies, and guide implementation teams in building scalable, secure, and resilient data streaming ecosystems. Strongly Preferred: • 8+ years of experience in designing and architecting solutions using Apache Kafka, with hands-on experience in Confluent Kafka, • Ability to lead client engagements, translate business requirements into technical solutions, and guide implementation teams, • Deep understanding of Kafka internals, KRaft architecture, and Confluent components, • Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC, • Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) and event-driven architecture, • Strong proficiency in Java, Python, or Scala, • Proven ability to integrate Kafka with enterprise systems (databases, APIs, microservices), • Hands-on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes, • Familiarity with CI/CD pipelines and infrastructure automation (Ansible, CFK) Acceptable Alternatives: • Experience with other Kafka platforms such as Open-source Kafka, Cloudera Kafka, AWS MSK, etc., • Solid understanding of Kafka architecture and operational management in enterprise environments., • Experience in professional services or implementation consulting for SaaS products, especially involving data integration, streaming, or enterprise architecture Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: • High analytical skills, • A high degree of initiative and flexibility, • High customer orientation, • High quality awareness, • Excellent verbal and written communication skills

Desde LHH nos encontramos buscando un Ingeniero/a DBA para trabajar en interesante empresa tecnológica fundada en Bizkaia que ofrece servicios integrales de tecnologías de la información, cuya finalidad es la de ayudar a las empresas con sus procesos de automatización. La misión del puesto será la definición, completa provisión y mantenimiento de las bases de datos que forman parte de los servicios, asegurando su calidad y disponibilidad. Funciones del puesto: • Realizar labores de administración preventiva y reactiva de bases de datos para asegurar su disponibilidad y calidad de servicio., • Aportar soluciones tecnológicas en lo relativo a las bases de datos., • Realizar la provisión de servicio de bases de datos, ejecutando en los plazos, • previstos y con calidad las tareas asignadas en los proyectos., • Definir y hacer cumplir los procedimientos y estándares de bases de datos., • Definir las políticas de backup, la monitorización y “capacity planning” de las, • bases de datos., • Elaborar los manuales de operación de las bases de datos., • Resolver incidencias 24x7., • Generar la documentación de bases de datos. ¿Qué conocimientos y/o habilidades debes tener? Bases de datos: • Instalación, configuración, administración y migración de SQL Server,versiones desde 2008 a 2019 y entornos Azure., • Opciones y herramientas de SQL Server: SQL Server Cluster, Always-On,, • Replication, Profiler, Server Management Studio., • Instalación, configuración, administración y migración de Oracle, versiones desde 10g a 19c., • Herramientas y opciones Oracle: RMAN, Grid Control, Enterprise Manager, DataGuard, Partitioning, RAC y ASM., • Instalación, configuración, administración y migración de MySQL 5.5 y posteriores., • Instalación, configuración, administración y migración de PostgreSQL., • Tuning de instancia y sentencias SQL., • Backup, monitorización y capacity planning. Sistemas operativos (administración avanzada y programación de scripts): • Linux: Red Hat 6, 7 y 8., • Windows: desde 2008 a 2019. Lenguajes de programación: • SQL., • PL/SQL., • T-SQL., • Shell script y batch. ¿Qué se ofrece? • Contratación indefinida, • Horario flexible y jornada de verano, • Vacaciones todos los puentes del año, • Posibilidad de trabajar en Remoto