Ofertes d'ocupació de Enginyer/a Cloud a Barcelona

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de jul.

Java Python TSQL Linux Scala AWS Power BI Spark Big Data Machine Learning Tableau Office

Smadex

is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.

We compete in a highly advanced technology-driven industry where Machine Learning and cutting-edge cloud-based big data architectures are the biggest factor in achieving the company’s growth.

Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

What Will You Do

You will be part of all the major architectural decisions and developments we make on our algorithms, especially in our state-of-the-art deep learning models.

• You will be responsible for proposing and developing new models, measuring the performance and improving our algorithms. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
• You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
• You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.
• Analyse data from different sources and provide actionable insights to business and engineering stakeholders
  
  

Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.

What You Need To Have

Very strong coding ability in at least one of the following: Python, Scala, Java

• Knowledge of Bitbucket/Git version tools
• Experience in machine learning and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis & auto-regressive models
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
• Experience working with SQL and data warehousing
• Problem solving oriented mentality and a very proactive approach
• Self-motivated with the ability to work independently and sense of accountability
• Detail-oriented, well organized, and able to multi-task in a results-oriented business environment
• Excellent communication skills both verbal and written
• Fluency in English.
  
  

Extra points for :-)

Master’s degree in Machine Learning, AI, Statistics, Applied mathematics, Computer Science

• Proficiency in building high-performance algorithms in production
• Experience with transformer architectures and LLMs.
• Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or others
• Experience in digital marketing platforms and user acquisition
• Experience with and Apache Spark and Nodejs programming language
• Familiarity with AWS services such as EMR, EC2, Athena, S3, Redshift
• Used to Linux environments
  
  

Reward Package

Integrate a highly motivated and young team

• Great compensation package
• Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, Barbeque, and a fully stocked fridge
• Great work-life balance: 2 days working from home, flexible hours
• LinkedIn Learning and training opportunities
• Meal vouchers - Tickets Restaurant monthly allowance
• Monthly gym allowance to use in up to 30 DIR gyms around the city
• Monthly TGIF events
• Regular team-building events
• Fun and friendly work environment with talented marketers and engineers from over 21 countries
• And more!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de jul.

Python Agile Cloud Coumputing AWS Machine Learning

Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

Job Description:

As a Machine Learning Engineer you will have following key accountabilities:    

• Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices 
• Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana 
• Optimize data science and machine learning models using code optimization, high performance computing 
• Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices  
• Actively share Data Science knowledge within our organization and represent NIQ’s Data Science expertise at conferences and workshops 
  
  

Qualifications

Qualifications

Now you know what a Machine Learning Engineer does. What skills, qualifications & experience do you need for this job?   

• Ability to fluidly communicate in an English business environment 
• PhD or master's degree that reflects computer science/engineering and statistical/mathematical skills and 4+   years of experience 
• Solid programming skills in languages such as Python and the respective Machine Learning ecosystem  
• Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies 
• Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations 
• Knowledge of Math, Statistics and Machine Learning (e.g., statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) 
• Working experience with agile development practices is a plus 
  
  

Admittedly, this is a long list and we do not expect you to be able to tick off every single point on it. Learning on the job and formal trainings will help you to close potential knowledge gaps and quickly bring you up to speed.  

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
  
  

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de jul.

Python TSQL Jenkins Docker Kubernetes AWS Terraform Machine Learning

Nuestro cliente es IAG.ai , es un nuevo equipo en crecimiento dentro del International Airlines Group (British Airways, Iberia, Vueling, Aer Lingus, IAG Loyalty, IAG Cargo, IAG Tech), con la misión de acelerar el retorno de valor y fortalecer suposición en el mercado mediante el uso de la Inteligencia Artificial, colaborando con varias compañías del grupo IAG.

Como Ingeniero/a de Datos Senior diseñarás, construirás y gestionarás pipelines de datos robustos, transformando datos en bruto en formatos accionables. Tus responsabilidades incluyen garantizar la calidad, integridad y fiabilidad de los datos para facilitar análisis e informes eficaces. Colaborarás estrechamente con científicos de datos, analistas y responsables de negocio, participando activamente en iniciativas transformadoras donde se integran ciencia de datos e inteligencia artificial.

Requisitos:

Grado o máster en Ingeniería de Datos, Informática o áreas relacionadas.
Mínimo 4-5 años de experiencia relevante en ingeniería de datos o roles afines.
Experiencia práctica con Snowflake o ClickHouse.
Dominio en desarrollo sobre entornos Snowflake y AWS.
Fuertes conocimientos en almacenamiento de datos, procesos ETL e integración de datos.
Alta competencia en scripting con Python y familiaridad con sus librerías y herramientas.
Nivel avanzado de SQL.
Profundo conocimiento de modelado de datos, gobernanza y buenas prácticas de calidad.
Excelentes habilidades de comunicación, resolución de problemas y trabajo en equipo.
Comodidad trabajando en un equipo de datos multidisciplinar.

Valorables:

Experiencia con herramientas de orquestación como Airflow o Prefect.
Experiencia con bases de datos AMOS.
Conocimientos sobre tecnologías de contenedores y orquestación (Docker, Kubernetes).
Familiaridad con herramientas y prácticas CI/CD como Jenkins, GitHub Actions o GitLab CI.
Conocimiento de frameworks de Infraestructura como Código (IaC), especialmente Terraform o CloudFormation.
Experiencia básica con infraestructuras de machine learning y flujos de trabajo en ciencia de datos.

Ofrecemos:

Retribución competitiva, con beneficios sociales, y plan de carrera y desarrollo profesional
Disponibilidad para trabajar 2–3 días por semana en la central de Viladecans

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de jul.

Teletreball Python Jenkins Cloud Coumputing Kubernetes Groovy AWS

Buscamos un Site Reliability Engineer (SRE) proactivo y cualificado para incorporarse a un equipo especializado en el sector seguros. Si te apasiona garantizar la estabilidad y fiabilidad de los sistemas, resolver incidencias y trabajar con tecnologías punteras, esta es tu oportunidad.

¿Qué harás?
Responder y resolver incidencias reportadas a través de ServiceNow, asegurando una gestión ágil y eficaz.
Colaborar con equipos multidisciplinares para identificar causas raíz y aplicar soluciones definitivas.
Monitorizar el rendimiento de sistemas usando Dynatrace, anticipándote a posibles problemas.
Crear y mantener dashboards y alertas para asegurar la máxima disponibilidad y rendimiento.
Realizar acciones básicas de mantenimiento y gestión en infraestructuras Kubernetes.
Apoyar el despliegue, configuración y administración de aplicaciones en entornos contenerizados.
Participar activamente en la mejora continua de procesos y herramientas.

Requisitos imprescindibles
Mínimo 3 años de experiencia en roles similares enfocados en ingeniería de confiabilidad del sitio (SRE) o en operaciones IT.
Dominio en resolución y seguimiento de incidencias con ServiceNow.
Experiencia práctica con herramientas de monitorización como Dynatrace (o similares).
Conocimientos básicos y experiencia en Kubernetes y orquestación de contenedores.
Inglés fluido, tanto hablado como escrito.
Capacidad analítica y orientada a la resolución de problemas.
Habilidades comunicativas y de trabajo en equipo.
Autonomía y responsabilidad en la gestión diaria.

Valorable (no imprescindible)
Experiencia en scripting para automatización (Python, Groovy u otros).
Conocimientos en plataformas cloud, especialmente AWS.
Familiaridad con herramientas CI/CD como Jenkins o GitHub Actions.

¿Qué ofrecemos?
Integrarte en un equipo de alto rendimiento en un entorno innovador.
Flexibilidad horaria para conciliación y mejor calidad de vida.
Proyectos retadores en un sector sólido y en crecimiento como el asegurador.
Formación continua y posibilidad de desarrollo profesional.
Condiciones económicas competitivas.

Fomentamos un ambiente de trabajo multicultural e inclusivo, no discriminamos por edad, género o creencias; así como ofrecemos igualdad de oportunidades a todo el personal.
Desarrollamos nuestras actividades bajo los principios del cuidado del medioambiente, la sostenibilidad y la responsabilidad social corporativa; colaborando en proyectos de reforestación y sostenibilidad.
Apoyamos los 10 principios del Pacto Mundial y los 17 Objetivos de Desarrollo Sostenible, en materia de derechos humanos, condiciones laborales, medio ambiente y anticorrupción.
Los procesos de reclutamiento se desarrollan bajo altos estándares de calidad definiendo la incorporación en base a la experiencia y habilidades del candidato.
Somos una empresa española líder en servicios tecnológicos y atracción del talento presente en el mercado desde 1995. Contamos con más de 600 empleados en proyectos tanto nacionales como internacionales en sector TI.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de jul.

Javascript API Java Agile Docker Cloud Coumputing Kubernetes Ansible Jira DevOps Excel Terraform

Position Overview Team/Bereich

The Online Tribe at Deutsche Bank Private Bank Germany is responsible for the digital customer access channels and services offered by Deutsche Bank and Postbank. The Tribe’s application portfolio consists of modern cloud-driven Online Banking & Brokerage customer services, administration frontends used by internal employees as well as further customer-oriented innovative solutions. We work in an agile environment, with a focus on customer centricity and outstanding user experience, and with high reusability and flexibility of technical solutions in mind. Our fundamental is that the highest application availability, scalability, technology- and security standards are a must. With our platform we want to be an enabler for highest quality cloud-based software solutions and processes at Deutsche Bank.

Tasks/Aufgabenbeschreibung

• As Site Reliability Engineer you contribute to the overarching implementation and operation of Deutsche Bank’s Online Banking platform in the Google Cloud, with hands-on support of the Investments feature squads, based on the paradigm "you built it you run it" with focus on various digital investments processes.
• Utilize your experience, technical knowledge and DevOps mindset in driving platform optimization and preventive measures.
• Through Automation, CI/CD and application monitoring, ensure scaleability, availability and performance of the application.
• Prevent problems proactively through countinous monitoring of overall system health, and identify portential weak points of the architecture and infrastructure. Actively support incident analysis in case of any production irregularities through investigating possible root causes and suggesting solutions
• Through collboration with the squad’s Product Owner and engineers help to identifiy the priority measures, define SLIs & SLOs, and ceate effective strategies for maintaining and improving system performance and availability.
• Support Release deployments and iteratively enhance current deplyoment procedures and pipelines.
• Act as a multiplicator for Site Reliability Engineering and Cloud-Knowhow in the SRE chapter, setting best pracices.
  
  
  

Skills & Experience/ Fähigkeiten & Erfahrungen

• Expert knowledge and hands-on experience with applications run cloud ecosystems such as Google Cloud as well as with Docker / Kubernetes in combination with with GKE or similar technology, automation and CI/CD, Terraform/Terragrunt, Terraform Enterprise, Ansible and Github.
• Advandced experience in monitoring for instance with OpsGenie, New Relic, DataDog, Splunk, Google Operations-Suite.
• Very good knowledge of security standards (e.g.: TLS, OAuth2, KMS, Vault, Admission Controllers, let's encrypt), microservice architectures and experience with API Management with Apigee or WSO2.
• Experience in software development in JAVA and/or JavaScript und in using tools such as TeamCity, BitBucket, Artifactory, SonarQube, VeraCode, Crucible, JIRA, Confluence or Service Now.
• Proactive attitude and collaborative Team player mindset paired with self confidence.
• Not loosing your cool and keep your eye for details even in stressful situations where time matters.
• Having a creative approach towards solving technical problems.
• Excellent communication skills in English.
  
  
  

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps parcial
• Publicada5 de jul.

Python TSQL Spark Big Data Office

Our opportunity

Life is too short to just tick the box. Reimagine the box with Zurich!

We are looking for a talented intern to join our Data Engineering team. In this internship, you'll get hands-on experience building and maintaining data pipelines, working with advanced big data technologies, and collaborating closely with experienced data engineers on real-world projects.

This is a perfect opportunity for recent graduates or current students aiming to build practical skills in Databricks, Python, and Spark while contributing to meaningful projects within our organization.

Your role

As our Data Engineering Intern, you will have the chance to:

• Assist the engineering team in developing, testing, and maintaining scalable data pipelines using Databricks, Python, and Spark.
• Support data processing activities, including data cleansing, transformations, integration, and validation tasks.
• Collaborate closely with senior developers and data specialists to gain insight into data engineering best practices.
• Document processes and contribute to routine monitoring tasks such as troubleshooting issues and optimizing performance on data platforms.
• Perform assigned research and proof-of-concept tasks on emerging technologies related to data engineering.
  
  

Your Skills And Experience

We would like to give this opportunity to somebody who is:

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related fields.
• Familiarity with at least one programming language, preferably Python.
• Basic understanding or familiarity with Apache Spark and Databricks platforms.
• Knowledge of database concepts and SQL.
• Good communication, problem-solving skills, and eagerness to learn new technologies.
• Active student status with Spanish University/School is mandatory
• University student interested in developing career in tech field
• Looking for at least 6 months part-time/internship program
• Tech savvy approach
• An enthusiastic, capable, curious person craving to learn
• A good team player with responsible and can-do attitude
• Able to use English for communication with colleagues and managers as from abroad on daily basis.
  
  

Additional Information

We offer benefits such as:

• Paid Internship
• Up to 30 hs weekly with Flexible schedule
• LinkedIn, Coursera and internal training opportunities
• Special discounts on different brands and products & great banking and insurance conditions.
• Welcome pack that includes amazing gadgets.
• A variety of clubs for you to get to know your colleagues and have fun, e.g. hiking, skiing, reading and many others!
• Free coffee at the office.
  
  

Primary work location is Barcelona Via Agusta.

Does it look like you have found your future job? Don’t wait anymore and apply sending your CV in English!

Who We Are

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

Diversity & Inclusion

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age or disability.

So be challenged. Be inspired. Help us make a difference.

You are the heart & soul of Zurich!

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.

Let’s continue to grow together!

• Location(s): ES - Barcelona
• Schedule: Part Time
• Recruiter name: Alba Marin Sola
  
  

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada2 de jul.

Teletreball TSQL Azure

Desde CMV Consultores estamos buscando incorporar un perfil Data Engineer para un proyecto 100% teletrabajo en colaboración con uno de nuestros principales clientes.

¿Qué se ofrece?
100% teletrabajo
Proyecto a largo plazo
Salario en función de la experiencia aportada

¿Qué necesitamos?
Experiencia en Databricks, Data Factory y en proyectos en Azure
Experiencia trabajando con Python/Pyspark y SQL
Experiencia en ETL
Nivel de inglés B2 o superior
Valorable experiencia con Power BI

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada30 de juny

Java Python C++ Machine Learning

Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).

Amazon´s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.

EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.

As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecasting, planning systems and robust decision making on large networks, as well as uncertainty quantification, generative models on graphs and ml explainability, among others.

We are looking for an Applied Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or optimization.

At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you´d like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.

About the team

The EU ATS Science and Technology (SnT) team owns scalable algorithms, models and systems that improve customer experience in middle-mile. We work backwards from Amazon´s customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable.

BASIC QUALIFICATIONS

- PhD, or a Master´s degree and experience in CS, CE, ML or related field

- Experience in building models for business application

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

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.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada27 de juny

Teletreball Python Cloud Coumputing AWS DevOps Terraform

Buscas nuevas oportunidades? ¡Envíanos tu currículum y descubre el camino hacia el éxito!

En SEREM estamos comprometidos con diversos proyectos y queremos contar con los mejores profesionales del sector. Buscamos incorporar un Expert DevOps Engineer para un proyecto de alto nivel técnico en entorno internacional. La persona seleccionada se integrará en un equipo especializado, participando en el diseño, implementación y mantenimiento de soluciones en la nube sobre AWS, siguiendo los más altos estándares de seguridad, calidad y automatización.

Ubicación: Preferiblemente en Barcelona, aunque no es imprescindible.

Responsabilidades:
• Diseñar y construir infraestructuras cloud robustas y seguras sobre AWS.
• Aplicar prácticas de Infrastructure as Code con Terraform para entornos multi-cuenta.
• Automatizar procesos mediante GitLab CI/CD y desarrollo en Python.
• Definir y aplicar estrategias DevSecOps incluyendo SAST, SBOM y shift-left security.
• Gestionar arquitecturas contenerizadas y serverless en AWS.
• Monitorizar, auditar y asegurar la infraestructura empleando herramientas como Splunk, CloudWatch, Prometheus, Grafana y PagerDuty.
Requisitos imprescindibles:
• Nivel de inglés avanzado (comunicación fluida con equipos internacionales).
• Amplia experiencia en ingeniería y arquitectura de soluciones sobre AWS.
• Experiencia práctica con:
o AWS Landing Zone, networking, servicios de seguridad y estrategias multi-cuenta.
o Terraform y principios avanzados de IaC.
o GitLab y GitLab-CI.
o Desarrollo en Python con código limpio y de alta calidad.
o Servicios AWS clave: Fargate, Lambda, S3, WAF, KMS, Transit Gateway, IAM, AWS Config.
o Arquitecturas contenerizadas y serverless.
o Integración de soluciones SIEM (preferiblemente Splunk).
o Servicios de seguridad y cumplimiento en AWS (Config, Inspector, Network Firewall...).
Valoramos:
• Experiencia en entornos altamente regulados o críticos.
• Capacidad de liderazgo técnico y autonomía en la toma de decisiones.

Fomentamos un ambiente de trabajo multicultural e inclusivo, no discriminamos por edad, género o creencias; así como ofrecemos igualdad de oportunidades a todo el personal.

Desarrollamos nuestras actividades bajo los principios del cuidado del medioambiente, la sostenibilidad y la responsabilidad social corporativa; colaborando en proyectos de reforestación y sostenibilidad.

Apoyamos los 10 principios del Pacto Mundial y los 17 Objetivos de Desarrollo Sostenible, en materia de derechos humanos, condiciones laborales, medio ambiente y anticorrupción.

Los procesos de reclutamiento se desarrollan bajo altos estándares de calidad definiendo la incorporación en base a la experiencia y habilidades del candidato.

Somos una empresa española líder en servicios tecnológicos y atracción del talento presente en el mercado desde 1995. Contamos con más de 600 empleados en proyectos tanto nacionales como internacionales en sector TI.